Validation pour Noint_undef

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Noint_undef

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Phrase 2 - PMID 10869437-1

In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .

name="reponse" value="NA"> Non annotée
name="reponse" value="JSP"> Je ne sais pas
name="reponse" value="INS"> Je n'ai pas trouvé d'analyse satisfaisante

Commentaires :

<?php echo $Com ; ?>

name="reponse" value="A0">Analyse 0

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+                                            +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (factor,sporulation)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A1">Analyse 1

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         |                      +------COMP_by:V_PASS-N-----+                                             |               |     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (transcription,sporulation)

name="reponse" value="A2">Analyse 2

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+                                            +-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A3">Analyse 3

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |                       +----SUBJ:V_PASS-N---+         +-----------------------APPOS----------------------+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A4">Analyse 4

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+          |         +-----------------COMP_by:V-N----------------+-----APPOS-----+                                             |               |     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (approach,second)
COMP_by:V-N (identify,GENEXXX)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A5">Analyse 5

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+          +-------------------COMP_by:V_PASS-N-------------------+-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A6">Analyse 6

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   +----------------------------------------------APPOS---------------------------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         +-----------------------APPOS----------------------+                                             |               |     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:ADJ-N (likely,GENEXXX)
APPOS (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A7">Analyse 7

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +----------------------------------------------APPOS---------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----------------------APPOS----------------------+                                             |               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+               |                                             |               |     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (transcription,sporulation)

name="reponse" value="A8">Analyse 8

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   |                      +------COMP_by:V_PASS-N-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A9">Analyse 9

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +--------------------COMP_by:N-N-------------------+                                             |               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+               |                                             |               |     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
COMP_by:N-N (promoters,factor)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (transcription,sporulation)

name="reponse" value="A10">Analyse 10

               +---------COMP_in:V_PASS-N---------+         +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
               |                       +----SUBJ:V_PASS-N---+-----------------COMP_by:V-N----------------+-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_by:V-N (identify,GENEXXX)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,factor)

name="reponse" value="A11">Analyse 11

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |                       +----SUBJ:V_PASS-N---+                                            +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A12">Analyse 12

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |                       +----SUBJ:V_PASS-N---+-----------------COMP_by:V-N----------------+-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_by:V-N (identify,GENEXXX)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A13">Analyse 13

               +---------COMP_in:V_PASS-N---------+                   +----------------------------------------------APPOS---------------------------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----------------------APPOS----------------------+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A14">Analyse 14

                                                                                             +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               +---------COMP_in:V_PASS-N---------+                                          +------COMP_by:V_PASS-N-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A15">Analyse 15

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
                                                            +-------------------------COMP_by:V-N------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+               |                                             +-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V-N (identify,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,factor)
APPOS (factor,GENEXXX)
COMP_by:V-N (identify,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A16">Analyse 16

                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+                   +--------------------COMP_by:N-N-------------------+                                             |                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+               |                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
COMP_by:N-N (promoters,GENEXXX)
COMP_by:N-N (promoters,factor)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A17">Analyse 17

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +-------------------------COMP_by:V-N------------------------+                                             |                     
               |                       +----SUBJ:V_PASS-N---+-----------------COMP_by:V-N----------------+               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V-N (identify,factor)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_by:V-N (identify,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A18">Analyse 18

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |       +--------------------------------------COMP_by:ADJ-N-------------------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         |       |                          +-----APPOS-----+                                             |               |     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
APPOS (promoters,GENEXXX)
COMP_by:ADJ-N (likely,factor)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (transcription,sporulation)

name="reponse" value="A19">Analyse 19

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
COMP_by:N-N (promoters,GENEXXX)
APPOS (GENEXXX,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A20">Analyse 20

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----------------------APPOS----------------------+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A21">Analyse 21

                                                                                                         +------------------------------------APPOS------------------------------------+     
                                                                                                         +----------------------------APPOS----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+-----APPOS-----+                                             |               |     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A22">Analyse 22

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+                                            +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (factor,sporulation)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A23">Analyse 23

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+-----------------COMP_by:V-N----------------+-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A24">Analyse 24

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                                  +----------------------------APPOS----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         |                                  +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A25">Analyse 25

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                                  +----------------------------APPOS----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
COMP_by:N-N (promoters,GENEXXX)
APPOS (GENEXXX,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A26">Analyse 26

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   +----------------------------------------------APPOS---------------------------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----------------------APPOS----------------------+                      +------MOD_ATT:N-N-----+               |     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A27">Analyse 27

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +----------------------------------------------APPOS---------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----------------------APPOS----------------------+                                             |               |     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+                           |                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (factor,sporulation)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A28">Analyse 28

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +----------------------------------------------APPOS---------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----------------------APPOS----------------------+                                             |               |     
               |                       +----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+               |                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A29">Analyse 29

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         |                      +------COMP_by:V_PASS-N-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A30">Analyse 30

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
                                                                      +--------------------COMP_by:N-N-------------------+                                             |               |     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+               |                                             |               |     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A31">Analyse 31

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |       +--------------------------------------COMP_by:ADJ-N-------------------------------------+               |     
               |         +-MOD_ATT:N-N-+          |                   |       +---------------COMP_by:ADJ-N--------------+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
COMP_by:ADJ-N (likely,factor)
OBJ:V-N (identify,promoters)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A32">Analyse 32

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |                       +----SUBJ:V_PASS-N---+                                            +-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A33">Analyse 33

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+          +-------------------COMP_by:V_PASS-N-------------------+-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A34">Analyse 34

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |                       +----SUBJ:V_PASS-N---+---------------------------OBJ:V-N--------------------------+                                             +-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
OBJ:V-N (identify,GENEXXX)

name="reponse" value="A35">Analyse 35

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+---------------------------OBJ:V-N--------------------------+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
OBJ:V-N (identify,GENEXXX)
MOD_ATT:N-N (approach,second)
COMP_by:ADJ-N (likely,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A36">Analyse 36

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+---------------------------OBJ:V-N--------------------------+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
OBJ:V-N (identify,GENEXXX)
MOD_ATT:N-N (approach,second)
COMP_by:ADJ-N (likely,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A37">Analyse 37

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |                       +----SUBJ:V_PASS-N---+                                +------COMP_by:V_PASS-N-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A38">Analyse 38

               +---------COMP_in:V_PASS-N---------+                           +--------------------------------------COMP_by:ADJ-N-------------------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+                 +---------------COMP_by:ADJ-N--------------+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
COMP_by:ADJ-N (likely,factor)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_by:ADJ-N (likely,GENEXXX)

name="reponse" value="A39">Analyse 39

                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+                   +--------------------COMP_by:N-N-------------------+                                             |                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
COMP_by:N-N (promoters,GENEXXX)
COMP_by:N-N (promoters,factor)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A40">Analyse 40

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +-------------------------COMP_by:V-N------------------------+                                             |                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+-----------------COMP_by:V-N----------------+               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
COMP_by:V-N (identify,factor)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,GENEXXX)

name="reponse" value="A41">Analyse 41

                                                  +--------------------------------------------------COMP_by:V_PASS-N--------------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+---------------------------COMP_by:V_PASS-N---------------------------+                                             |                     
               |         +-MOD_ATT:N-N-+          +-------------------COMP_by:V_PASS-N-------------------+               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V_PASS-N (used,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (used,factor)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A42">Analyse 42

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
               |         +-MOD_ATT:N-N-+          |                   +------------COMP_by:N-N-----------+-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
COMP_by:N-N (promoters,GENEXXX)
APPOS (GENEXXX,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A43">Analyse 43

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+          |         |                                            +-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A44">Analyse 44

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+          |         |         +-----------------------APPOS----------------------+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A45">Analyse 45

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         |         +-----------------------APPOS----------------------+                                             |                     
               |         +-MOD_ATT:N-N-+          |         |         +------------COMP_by:N-N-----------+               |                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A46">Analyse 46

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+          |                                                      +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A47">Analyse 47

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+--------COMP_to:V-V_PASS--------+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
COMP_to:V-V_PASS (identify,activated)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (factor,sporulation)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A48">Analyse 48

                                                                                                         +------------------------------------APPOS------------------------------------+     
                                                                                                         +----------------------------APPOS----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+-----------COMP_to:V_PASS-V_PASS----------+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_to:V_PASS-V_PASS (used,activated)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A49">Analyse 49

                                                                                                         +------------------------------------APPOS------------------------------------+     
                                                                                                         +----------------------------APPOS----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A50">Analyse 50

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                                  +----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+          |                   |                                  +-----APPOS-----+                                             |               |     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
APPOS (promoters,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A51">Analyse 51

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                                  +----------------------------APPOS----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         |                                  +-----APPOS-----+                                             |               |     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A52">Analyse 52

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                                  +----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+          |                   +------------COMP_by:N-N-----------+-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
COMP_by:N-N (promoters,GENEXXX)
APPOS (GENEXXX,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A53">Analyse 53

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +----------------------------------------------APPOS---------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----------------------APPOS----------------------+                      +------MOD_ATT:N-N-----+               |     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
APPOS (promoters,factor)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A54">Analyse 54

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   +----------------------------------------------APPOS---------------------------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         +-----------------------APPOS----------------------+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:ADJ-N (likely,GENEXXX)
APPOS (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A55">Analyse 55

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   |                      +------COMP_by:V_PASS-N-----+                                             |               |     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A56">Analyse 56

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         |                      +------COMP_by:V_PASS-N-----+                      +------MOD_ATT:N-N-----+               |     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A57">Analyse 57

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +--------------------COMP_by:N-N-------------------+                                             |               |     
               |         +-MOD_ATT:N-N-+          |                   +------------COMP_by:N-N-----------+               |                                             |               |     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (approach,second)
COMP_by:N-N (promoters,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,factor)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A58">Analyse 58

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |       +--------------------------------------COMP_by:ADJ-N-------------------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         |       +---------------COMP_by:ADJ-N--------------+                      +------MOD_ATT:N-N-----+               |     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
COMP_by:ADJ-N (likely,factor)
OBJ:V-N (identify,promoters)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_by:ADJ-N (likely,GENEXXX)

name="reponse" value="A59">Analyse 59

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
                                                                      +--------------------COMP_by:N-N-------------------+                                             |               |     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+               |                                             |               |     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           |               |                                             |               |     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (approach,second)
COMP_by:N-N (promoters,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,factor)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (transcription,sporulation)

name="reponse" value="A60">Analyse 60

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |         +-MOD_ATT:N-N-+          |                                          |           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A61">Analyse 61

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+                                |           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A62">Analyse 62

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A63">Analyse 63

               +---------COMP_in:V_PASS-N---------+                           +--------------------------------------COMP_by:ADJ-N-------------------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+                 |                          +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
COMP_by:ADJ-N (likely,factor)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A64">Analyse 64

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+          |                                                      +-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A65">Analyse 65

                                                                                                         +----------------------------APPOS----------------------------+                     
               +---------COMP_in:V_PASS-N---------+                                                      +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A66">Analyse 66

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (factor,sporulation)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A67">Analyse 67

                                                                      +----------------------------------------------APPOS---------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+                   +-----------------------APPOS----------------------+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
APPOS (promoters,factor)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A68">Analyse 68

                                                                                                         +----------------------------APPOS----------------------------+                     
               +---------COMP_in:V_PASS-N---------+-------------------COMP_by:V_PASS-N-------------------+-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A69">Analyse 69

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |                       +----SUBJ:V_PASS-N---+---------------------------OBJ:V-N--------------------------+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
OBJ:V-N (identify,GENEXXX)

name="reponse" value="A70">Analyse 70

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+---------------------------OBJ:V-N--------------------------+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
OBJ:V-N (identify,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A71">Analyse 71

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
                                                            +---------------------------OBJ:V-N--------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         |         +------------COMP_by:N-N-----------+               |                                             |                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           |               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
OBJ:V-N (identify,GENEXXX)
MOD_ATT:N-N (approach,second)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (factor,sporulation)
APPOS (factor,GENEXXX)

name="reponse" value="A72">Analyse 72

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |         +-MOD_ATT:N-N-+          |                                          +------COMP_by:V_PASS-N-----+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A73">Analyse 73

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+                                +------COMP_by:V_PASS-N-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A74">Analyse 74

                                                                              +--------------------------------------COMP_by:ADJ-N-------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+                           +---------------COMP_by:ADJ-N--------------+                                             +-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:ADJ-N (likely,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_by:ADJ-N (likely,factor)
COMP_by:ADJ-N (likely,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A75">Analyse 75

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+------COMP_by:V_PASS-N-----+                                             +-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A76">Analyse 76

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+------COMP_by:V_PASS-N-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (factor,sporulation)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A77">Analyse 77

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +-------------------------COMP_by:V-N------------------------+                                             |                     
               |         +-MOD_ATT:N-N-+          |         +-----------------COMP_by:V-N----------------+               |                                             +-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V-N (identify,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,factor)
APPOS (factor,GENEXXX)
COMP_by:V-N (identify,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A78">Analyse 78

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
                                                            +-------------------------COMP_by:V-N------------------------+                                             |                     
                                                            +-----------------COMP_by:V-N----------------+               |                                             |                     
               +---------COMP_in:V_PASS-N---------+         +--------COMP_to:V-V_PASS--------+           |               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V-N (identify,factor)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_by:V-N (identify,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_to:V-V_PASS (identify,activated)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A79">Analyse 79

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
                                                            +-------------------------COMP_by:V-N------------------------+                                             |                     
                                                            +-----------------COMP_by:V-N----------------+               |                                             |                     
               +---------COMP_in:V_PASS-N---------+         |         +-----SUBJ:V_PASS-N----+           |               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V-N (identify,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,factor)
COMP_by:V-N (identify,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A80">Analyse 80

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
                                                            +-------------------------COMP_by:V-N------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+               |                                             |                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+--------COMP_to:V-V_PASS--------+           |               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+                      |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
COMP_to:V-V_PASS (identify,activated)
SUBJ:V_PASS-N (identify,models)
COMP_by:V-N (identify,GENEXXX)
SUBJ:V_PASS-N (used,models)
COMP_by:V-N (identify,factor)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,GENEXXX)

name="reponse" value="A81">Analyse 81

                                                  +--------------------------------------------------COMP_by:V_PASS-N--------------------------------------------------+                     
                                                  +---------------------------COMP_by:V_PASS-N---------------------------+                                             |                     
                                                  +-------------------COMP_by:V_PASS-N-------------------+               |                                             |                     
               +---------COMP_in:V_PASS-N---------+-----------COMP_to:V_PASS-V_PASS----------+           |               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_to:V_PASS-V_PASS (used,activated)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (used,factor)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A82">Analyse 82

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      |       +--------------------------------------COMP_by:ADJ-N-------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   |       |                          +-----APPOS-----+                                             |               |     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
COMP_by:ADJ-N (likely,factor)
OBJ:V-N (identify,promoters)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A83">Analyse 83

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (factor,sporulation)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A84">Analyse 84

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+          |         |                                            +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A85">Analyse 85

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+          |         |                                            +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A86">Analyse 86

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (factor,sporulation)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A87">Analyse 87

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+                                            +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,factor)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A88">Analyse 88

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         |         +------------COMP_by:N-N-----------+                                                             |                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (factor,sporulation)
APPOS (factor,GENEXXX)

name="reponse" value="A89">Analyse 89

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         |         +-----------------------APPOS----------------------+                                             |                     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+                           |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A90">Analyse 90

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----------------------APPOS----------------------+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,factor)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A91">Analyse 91

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         |         +-----------------------APPOS----------------------+                                             |                     
               |         +-MOD_ATT:N-N-+          |         |         +-----SUBJ:V_PASS-N----+                           |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A92">Analyse 92

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
                                                            |         +-----------------------APPOS----------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         |         +------------COMP_by:N-N-----------+               |                                             |                     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           |               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A93">Analyse 93

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+                                            +-----APPOS-----+                                             |               |     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A94">Analyse 94

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             |               |     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A95">Analyse 95

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      |                                  +----------------------------APPOS----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   |                                  +-----APPOS-----+                                             |               |     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A96">Analyse 96

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+----------------------------APPOS----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             |               |     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (approach,second)
COMP_by:N-N (promoters,GENEXXX)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (transcription,sporulation)

name="reponse" value="A97">Analyse 97

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+          +-------------------COMP_by:V_PASS-N-------------------+-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A98">Analyse 98

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      |                                  +----------------------------APPOS----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   |                                  +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A99">Analyse 99

                                                                                                         +------------------------------------APPOS------------------------------------+     
                                                  +-------------------COMP_by:V_PASS-N-------------------+----------------------------APPOS----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A100">Analyse 100

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +----------------------------------------------APPOS---------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----------------------APPOS----------------------+                                             |               |     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (promoters,factor)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A101">Analyse 101

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +----------------------------------------------APPOS---------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----------------------APPOS----------------------+                                             |               |     
               |                       +----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+               |                                             |               |     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
APPOS (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A102">Analyse 102

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +----------------------------------------------APPOS---------------------------------------------+               |     
                                                                      +-----------------------APPOS----------------------+                                             |               |     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+               |                                             |               |     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           |               |                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (factor,sporulation)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A103">Analyse 103

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +----------------------------------------------APPOS---------------------------------------------+               |     
                                                                      +-----------------------APPOS----------------------+                                             |               |     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+               |                                             |               |     
               |         +-MOD_ATT:N-N-+          |                   +-----SUBJ:V_PASS-N----+           |               |                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (factor,sporulation)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A104">Analyse 104

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         |                      +------COMP_by:V_PASS-N-----+                                             |               |     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A105">Analyse 105

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----SUBJ:V_PASS-N----+------COMP_by:V_PASS-N-----+                                             |               |     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A106">Analyse 106

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----SUBJ:V_PASS-N----+------COMP_by:V_PASS-N-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A107">Analyse 107

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
                                                                      +--------------------COMP_by:N-N-------------------+                                             |               |     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+               |                      +------MOD_ATT:N-N-----+               |     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:N-N (promoters,factor)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A108">Analyse 108

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
                                                                      +--------------------COMP_by:N-N-------------------+                                             |               |     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+               |                                             |               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           |               |                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
COMP_by:N-N (promoters,factor)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (GENEXXX,final)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A109">Analyse 109

                                                                              +--------------------------------------COMP_by:ADJ-N-------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+                           |                          +-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:ADJ-N (likely,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
COMP_by:ADJ-N (likely,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A110">Analyse 110

                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:N-N (promoters,factor)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A111">Analyse 111

               +---------COMP_in:V_PASS-N---------+                           +--------------------------------------COMP_by:ADJ-N-------------------------------------+                     
               |         +-MOD_ATT:N-N-+          |                           |                          +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
COMP_by:ADJ-N (likely,factor)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A112">Analyse 112

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |         +-MOD_ATT:N-N-+          |                                          |           +-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A113">Analyse 113

                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+                                                             |                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
APPOS (factor,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (transcription,sporulation)

name="reponse" value="A114">Analyse 114

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+                                                             |                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+--------COMP_to:V-V_PASS--------+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+                      |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
COMP_to:V-V_PASS (identify,activated)
SUBJ:V_PASS-N (identify,models)
COMP_by:V-N (identify,GENEXXX)
SUBJ:V_PASS-N (used,models)
COMP_by:V-N (identify,factor)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A115">Analyse 115

                                                  +--------------------------------------------------COMP_by:V_PASS-N--------------------------------------------------+                     
                                                  +-------------------COMP_by:V_PASS-N-------------------+                                                             |                     
               +---------COMP_in:V_PASS-N---------+-----------COMP_to:V_PASS-V_PASS----------+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
COMP_to:V_PASS-V_PASS (used,activated)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (used,factor)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A116">Analyse 116

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+          |                                                      +-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A117">Analyse 117

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+                                            +-----APPOS-----+                                             +-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A118">Analyse 118

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+          |                                                      +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A119">Analyse 119

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+--------COMP_to:V-V_PASS--------+           +-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
COMP_to:V-V_PASS (identify,activated)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A120">Analyse 120

               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+----------------------------APPOS----------------------------+                     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
COMP_by:N-N (promoters,GENEXXX)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A121">Analyse 121

               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (transcription,sporulation)

name="reponse" value="A122">Analyse 122

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +---------------------------OBJ:V-N--------------------------+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
OBJ:V-N (identify,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A123">Analyse 123

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
                                                            +---------------------------OBJ:V-N--------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         |         +------------COMP_by:N-N-----------+               |                                             |                     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           |               |                                             +-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
OBJ:V-N (identify,GENEXXX)

name="reponse" value="A124">Analyse 124

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |         +-MOD_ATT:N-N-+          |                                          +------COMP_by:V_PASS-N-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A125">Analyse 125

                                                                                             +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               +---------COMP_in:V_PASS-N---------+                   +-----SUBJ:V_PASS-N----+------COMP_by:V_PASS-N-----+                                             +-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A126">Analyse 126

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+--------COMP_to:V-V_PASS--------+------COMP_by:V_PASS-N-----+                                             +-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
COMP_to:V-V_PASS (identify,activated)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A127">Analyse 127

                                                                              +--------------------------------------COMP_by:ADJ-N-------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+                           +---------------COMP_by:ADJ-N--------------+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:ADJ-N (likely,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_by:ADJ-N (likely,factor)
COMP_by:ADJ-N (likely,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A128">Analyse 128

                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+                   +--------------------COMP_by:N-N-------------------+                                             |                     
               |         +-MOD_ATT:N-N-+          |                   +------------COMP_by:N-N-----------+               |                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:N-N (promoters,factor)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A129">Analyse 129

                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+                   +--------------------COMP_by:N-N-------------------+                                             |                     
               |         +-MOD_ATT:N-N-+          |                   +------------COMP_by:N-N-----------+               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A130">Analyse 130

                                                  +--------------------------------------------------COMP_by:V_PASS-N--------------------------------------------------+                     
                                                  +---------------------------COMP_by:V_PASS-N---------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+-------------------COMP_by:V_PASS-N-------------------+               |                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (factor,transcription)
COMP_by:V_PASS-N (used,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_by:V_PASS-N (used,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A131">Analyse 131

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
                                                            +-------------------------COMP_by:V-N------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+               |                                             |                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+--------COMP_to:V-V_PASS--------+           |               |                                             +-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+                      |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V-N (identify,factor)
MOD_ATT:N-N (transcription,sporulation)
COMP_to:V-V_PASS (identify,activated)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,GENEXXX)

name="reponse" value="A132">Analyse 132

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
                                                            +-------------------------COMP_by:V-N------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+               |                                             |                     
               |                       +----SUBJ:V_PASS-N---+--------COMP_to:V-V_PASS--------+           |               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+                      |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V-N (identify,factor)
COMP_to:V-V_PASS (identify,activated)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,GENEXXX)

name="reponse" value="A133">Analyse 133

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
                                                            +-------------------------COMP_by:V-N------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+               |                                             |                     
               |         +-MOD_ATT:N-N-+          |         |         +-----SUBJ:V_PASS-N----+           |               |                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
COMP_by:V-N (identify,factor)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
COMP_by:V-N (identify,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A134">Analyse 134

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
                                                            +-------------------------COMP_by:V-N------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+               |                                             |                     
               |         +-MOD_ATT:N-N-+          |         |         +-----SUBJ:V_PASS-N----+           |               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
COMP_by:V-N (identify,factor)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
COMP_by:V-N (identify,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A135">Analyse 135

                                                  +--------------------------------------------------COMP_by:V_PASS-N--------------------------------------------------+                     
                                                  +---------------------------COMP_by:V_PASS-N---------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+-------------------COMP_by:V_PASS-N-------------------+               |                                             |                     
               |         +-MOD_ATT:N-N-+          |         +--------COMP_to:V-V_PASS--------+           |               |                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_to:V-V_PASS (identify,activated)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (used,factor)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A136">Analyse 136

                                                  +--------------------------------------------------COMP_by:V_PASS-N--------------------------------------------------+                     
                                                  +---------------------------COMP_by:V_PASS-N---------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+-------------------COMP_by:V_PASS-N-------------------+               |                                             |                     
               |         +-MOD_ATT:N-N-+          +-----------COMP_to:V_PASS-V_PASS----------+           |               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_by:V_PASS-N (used,factor)
COMP_to:V_PASS-V_PASS (used,activated)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (used,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A137">Analyse 137

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   |                      |           +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A138">Analyse 138

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |       +--------------------------------------COMP_by:ADJ-N-------------------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         |       |                          +-----APPOS-----+                                             |               |     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
COMP_by:ADJ-N (likely,factor)
OBJ:V-N (identify,promoters)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A139">Analyse 139

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+-----APPOS-----+                                             |               |     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:N-N (promoters,factor)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A140">Analyse 140

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |       +--------------------------------------COMP_by:ADJ-N-------------------------------------+               |     
               |         +-MOD_ATT:N-N-+          |                   |       |                          +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
COMP_by:ADJ-N (likely,factor)
OBJ:V-N (identify,promoters)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A141">Analyse 141

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+-----APPOS-----+                                             |               |     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
COMP_by:N-N (promoters,GENEXXX)
APPOS (GENEXXX,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A142">Analyse 142

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
COMP_by:N-N (promoters,GENEXXX)
APPOS (GENEXXX,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A143">Analyse 143

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+                                                             |               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             |               |     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A144">Analyse 144

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         |                                            +-----APPOS-----+                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A145">Analyse 145

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+                                            +-----APPOS-----+                                             +-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A146">Analyse 146

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----------------------APPOS----------------------+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A147">Analyse 147

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
                                                            |         +-----------------------APPOS----------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         |         +-----SUBJ:V_PASS-N----+                           |                                             +-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A148">Analyse 148

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         |         +-----------------------APPOS----------------------+                                             |                     
               |         +-MOD_ATT:N-N-+          |         |         +-----SUBJ:V_PASS-N----+                           |                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A149">Analyse 149

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         |         +-----------------------APPOS----------------------+                                             |                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+               |                                             +-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A150">Analyse 150

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+--------COMP_to:V-V_PASS--------+           +-----APPOS-----+                                             |               |     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
COMP_to:V-V_PASS (identify,activated)
MOD_ATT:N-N (models,Hidden)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A151">Analyse 151

                                                                                                         +------------------------------------APPOS------------------------------------+     
                                                                                                         +----------------------------APPOS----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                                                      +-----APPOS-----+                                             |               |     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,GENEXXX)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A152">Analyse 152

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (factor,sporulation)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A153">Analyse 153

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+          |         +--------COMP_to:V-V_PASS--------+           +-----APPOS-----+                                             |               |     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
COMP_by:V-N (identify,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_to:V-V_PASS (identify,activated)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A154">Analyse 154

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+--------COMP_to:V-V_PASS--------+           +-----APPOS-----+                                             |               |     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+                      |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
COMP_to:V-V_PASS (identify,activated)
MOD_ATT:N-N (models,Hidden)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A155">Analyse 155

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+----------------------------APPOS----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
COMP_by:V-N (identify,GENEXXX)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A156">Analyse 156

                                                                                                         +------------------------------------APPOS------------------------------------+     
                                                  +-------------------COMP_by:V_PASS-N-------------------+----------------------------APPOS----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             |               |     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A157">Analyse 157

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+-------------------COMP_by:V_PASS-N-------------------+----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+          |         +--------COMP_to:V-V_PASS--------+           +-----APPOS-----+                                             |               |     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
COMP_to:V-V_PASS (identify,activated)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A158">Analyse 158

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                                  +----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         |                                  +-----APPOS-----+                                             |               |     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A159">Analyse 159

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                                  +----------------------------APPOS----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (factor,sporulation)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A160">Analyse 160

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +----------------------------------------------APPOS---------------------------------------------+               |     
                                                                      +-----------------------APPOS----------------------+                                             |               |     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+               |                                             |               |     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (promoters,factor)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A161">Analyse 161

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +----------------------------------------------APPOS---------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----------------------APPOS----------------------+                                             |               |     
               |         +-MOD_ATT:N-N-+          |                   +-----SUBJ:V_PASS-N----+                           |                      +------MOD_ATT:N-N-----+               |     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
APPOS (promoters,factor)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A162">Analyse 162

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   +----------------------------------------------APPOS---------------------------------------------+               |     
               |         +-MOD_ATT:N-N-+          |                   +-----------------------APPOS----------------------+                      +------MOD_ATT:N-N-----+               |     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (promoters,factor)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A163">Analyse 163

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +----------------------------------------------APPOS---------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----------------------APPOS----------------------+                                             |               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+               |                                             |               |     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A164">Analyse 164

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               |         +-MOD_ATT:N-N-+          |                   +-----SUBJ:V_PASS-N----+------COMP_by:V_PASS-N-----+                                             |               |     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A165">Analyse 165

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |       +--------------------------------------COMP_by:ADJ-N-------------------------------------+               |     
               |         +-MOD_ATT:N-N-+          |                   |       +---------------COMP_by:ADJ-N--------------+                                             |               |     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,transcription)
COMP_by:ADJ-N (likely,factor)
OBJ:V-N (identify,promoters)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A166">Analyse 166

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+------COMP_by:V_PASS-N-----+                      +------MOD_ATT:N-N-----+               |     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A167">Analyse 167

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |       +--------------------------------------COMP_by:ADJ-N-------------------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         |       +---------------COMP_by:ADJ-N--------------+                                             |               |     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
COMP_by:ADJ-N (likely,factor)
OBJ:V-N (identify,promoters)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_by:ADJ-N (likely,GENEXXX)

name="reponse" value="A168">Analyse 168

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
                                                                      +--------------------COMP_by:N-N-------------------+                                             |               |     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+               |                                             |               |     
               |         +-MOD_ATT:N-N-+          |                   +-----SUBJ:V_PASS-N----+           |               |                                             |               |     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (approach,second)
COMP_by:N-N (promoters,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,factor)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (transcription,sporulation)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A169">Analyse 169

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
                                                                      +--------------------COMP_by:N-N-------------------+                                             |               |     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+               |                                             |               |     
               |         +-MOD_ATT:N-N-+          |                   +-----SUBJ:V_PASS-N----+           |               |                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (approach,second)
COMP_by:N-N (promoters,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,factor)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (factor,sporulation)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A170">Analyse 170

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |                       +----SUBJ:V_PASS-N---+                                |           +-----APPOS-----+                                             +-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)

name="reponse" value="A171">Analyse 171

                                                                                             +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +--------COMP_to:V-V_PASS--------+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_to:V-V_PASS (identify,activated)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A172">Analyse 172

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+--------COMP_to:V-V_PASS--------+           +-----APPOS-----+                                             +-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
COMP_to:V-V_PASS (identify,activated)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A173">Analyse 173

                                                                                             +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               +---------COMP_in:V_PASS-N---------+-----------COMP_to:V_PASS-V_PASS----------+           +-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
COMP_to:V_PASS-V_PASS (used,activated)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A174">Analyse 174

               +---------COMP_in:V_PASS-N---------+                   +-------------------------------------------COMP_by:N-N------------------------------------------+                     
               |         +-MOD_ATT:N-N-+          |                   +------------COMP_by:N-N-----------+-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A175">Analyse 175

               +---------COMP_in:V_PASS-N---------+                   +-------------------------------------------COMP_by:N-N------------------------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+-----APPOS-----+                                             +-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A176">Analyse 176

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |         +-MOD_ATT:N-N-+          |                                          |           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V_PASS-N (activated,factor)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A177">Analyse 177

                                                  +--------------------------------------------------COMP_by:V_PASS-N--------------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+-------------------COMP_by:V_PASS-N-------------------+-----APPOS-----+                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
COMP_by:V_PASS-N (used,factor)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A178">Analyse 178

                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+                     
                                                                      +------------COMP_by:N-N-----------+                                                             |                     
               +---------COMP_in:V_PASS-N---------+                   +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:N-N (promoters,factor)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A179">Analyse 179

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+                                                             |                     
               |         +-MOD_ATT:N-N-+          |         |         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
COMP_by:V-N (identify,GENEXXX)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,factor)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A180">Analyse 180

                                                  +--------------------------------------------------COMP_by:V_PASS-N--------------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+-------------------COMP_by:V_PASS-N-------------------+                                                             |                     
               |         +-MOD_ATT:N-N-+          +-----------COMP_to:V_PASS-V_PASS----------+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
COMP_to:V_PASS-V_PASS (used,activated)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (used,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (used,factor)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A181">Analyse 181

                                                                                                         +----------------------------APPOS----------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+-----APPOS-----+                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,GENEXXX)
COMP_by:V-N (identify,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A182">Analyse 182

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+          |                   +------------COMP_by:N-N-----------+-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A183">Analyse 183

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+          |         +-----------------COMP_by:V-N----------------+-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A184">Analyse 184

                                                                      +------------COMP_by:N-N-----------+----------------------------APPOS----------------------------+                     
               +---------COMP_in:V_PASS-N---------+                   +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A185">Analyse 185

                                                                      +----------------------------------------------APPOS---------------------------------------------+                     
                                                                      +-----------------------APPOS----------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+               |                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
APPOS (promoters,factor)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A186">Analyse 186

               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (factor,sporulation)
APPOS (factor,GENEXXX)

name="reponse" value="A187">Analyse 187

               +---------COMP_in:V_PASS-N---------+                   +----------------------------------------------APPOS---------------------------------------------+                     
               |                       +----SUBJ:V_PASS-N---+         +-----------------------APPOS----------------------+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
APPOS (promoters,factor)

name="reponse" value="A188">Analyse 188

                                                                      +----------------------------------------------APPOS---------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+                   +-----------------------APPOS----------------------+                                             |                     
               |                       +----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+               |                                             +-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
APPOS (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)

name="reponse" value="A189">Analyse 189

                                                                      +----------------------------------------------APPOS---------------------------------------------+                     
                                                                      +-----------------------APPOS----------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
APPOS (promoters,factor)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A190">Analyse 190

                                                                      +----------------------------------------------APPOS---------------------------------------------+                     
                                                                      +-----------------------APPOS----------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+               |                                             |                     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           |               |                                             +-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A191">Analyse 191

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |                       +----SUBJ:V_PASS-N---+---------------------------OBJ:V-N--------------------------+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
OBJ:V-N (identify,GENEXXX)

name="reponse" value="A192">Analyse 192

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
                                                            +---------------------------OBJ:V-N--------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         |         +------------COMP_by:N-N-----------+               |                                             |                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           |               |                                             +-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
APPOS (factor,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
OBJ:V-N (identify,GENEXXX)

name="reponse" value="A193">Analyse 193

               +---------COMP_in:V_PASS-N---------+                           +--------------------------------------COMP_by:ADJ-N-------------------------------------+                     
               |                       +----SUBJ:V_PASS-N---+                 +---------------COMP_by:ADJ-N--------------+                                             +-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:ADJ-N (likely,GENEXXX)
SUBJ:V_PASS-N (identify,models)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
COMP_by:ADJ-N (likely,factor)
COMP_by:ADJ-N (likely,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)

name="reponse" value="A194">Analyse 194

                                                                                             +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               +---------COMP_in:V_PASS-N---------+                                          +------COMP_by:V_PASS-N-----+                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,factor)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A195">Analyse 195

               +---------COMP_in:V_PASS-N---------+                           +--------------------------------------COMP_by:ADJ-N-------------------------------------+                     
               |         +-MOD_ATT:N-N-+          |                           +---------------COMP_by:ADJ-N--------------+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:ADJ-N (likely,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
COMP_by:ADJ-N (likely,factor)
COMP_by:ADJ-N (likely,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A196">Analyse 196

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |         +-MOD_ATT:N-N-+          +-----------COMP_to:V_PASS-V_PASS----------+------COMP_by:V_PASS-N-----+                                             +-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,transcription)
COMP_to:V_PASS-V_PASS (used,activated)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A197">Analyse 197

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |         +-MOD_ATT:N-N-+          +-----------COMP_to:V_PASS-V_PASS----------+------COMP_by:V_PASS-N-----+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_to:V_PASS-V_PASS (used,activated)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A198">Analyse 198

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
                                                            +-------------------------COMP_by:V-N------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,GENEXXX)
APPOS (factor,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A199">Analyse 199

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |         +-MOD_ATT:N-N-+          |                                          +------COMP_by:V_PASS-N-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A200">Analyse 200

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
                                                            +-------------------------COMP_by:V-N------------------------+                                             |                     
                                                            +-----------------COMP_by:V-N----------------+               |                                             |                     
               +---------COMP_in:V_PASS-N---------+         +--------COMP_to:V-V_PASS--------+           |               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_to:V-V_PASS (identify,activated)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,factor)
APPOS (factor,GENEXXX)
COMP_by:V-N (identify,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A201">Analyse 201

                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+                     
                                                                      +--------------------COMP_by:N-N-------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+               |                                             |                     
               |         +-MOD_ATT:N-N-+          |                   +-----SUBJ:V_PASS-N----+           |               |                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,factor)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A202">Analyse 202

                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+                     
                                                                      +--------------------COMP_by:N-N-------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+               |                                             |                     
               |         +-MOD_ATT:N-N-+          |                   +-----SUBJ:V_PASS-N----+           |               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,factor)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A203">Analyse 203

                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+                     
                                                                      +--------------------COMP_by:N-N-------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+               |                                             |                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           |               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (factor,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,factor)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A204">Analyse 204

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
               |         +-MOD_ATT:N-N-+          |                   +------------COMP_by:N-N-----------+-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:N-N (promoters,factor)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A205">Analyse 205

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         |         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A206">Analyse 206

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+          |         |         +------------COMP_by:N-N-----------+-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A207">Analyse 207

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
                                                            |         +------------COMP_by:N-N-----------+                                                             |                     
               +---------COMP_in:V_PASS-N---------+         |         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A208">Analyse 208

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
                                                            |         +------------COMP_by:N-N-----------+                                                             |                     
               +---------COMP_in:V_PASS-N---------+         |         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A209">Analyse 209

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         |         +-----------------------APPOS----------------------+                                             |                     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+                           |                                             +-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A210">Analyse 210

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+          |         |         +-----------------------APPOS----------------------+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:ADJ-N (likely,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A211">Analyse 211

                                                                                                         +------------------------------------APPOS------------------------------------+     
                                                                                                         +----------------------------APPOS----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             |               |     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
COMP_by:V_PASS-N (activated,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A212">Analyse 212

                                                                                                         +------------------------------------APPOS------------------------------------+     
                                                                                                         +----------------------------APPOS----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+-----------COMP_to:V_PASS-V_PASS----------+           +-----APPOS-----+                                             |               |     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (factor,transcription)
COMP_to:V_PASS-V_PASS (used,activated)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A213">Analyse 213

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+----------------------------APPOS----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+--------COMP_to:V-V_PASS--------+           +-----APPOS-----+                                             |               |     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+                      |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
COMP_by:V-N (identify,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_to:V-V_PASS (identify,activated)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A214">Analyse 214

                                                                                                         +------------------------------------APPOS------------------------------------+     
                                                            +-----------------COMP_by:V-N----------------+----------------------------APPOS----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+         +--------COMP_to:V-V_PASS--------+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,GENEXXX)
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_to:V-V_PASS (identify,activated)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A215">Analyse 215

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+----------------------------APPOS----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+--------COMP_to:V-V_PASS--------+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+                      |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
COMP_by:V-N (identify,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_to:V-V_PASS (identify,activated)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A216">Analyse 216

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+----------------------------APPOS----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A217">Analyse 217

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                                  +----------------------------APPOS----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             |               |     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A218">Analyse 218

                                                                                                         +------------------------------------APPOS------------------------------------+     
                                                  +-------------------COMP_by:V_PASS-N-------------------+----------------------------APPOS----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+-----------COMP_to:V_PASS-V_PASS----------+           +-----APPOS-----+                                             |               |     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (factor,transcription)
COMP_to:V_PASS-V_PASS (used,activated)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A219">Analyse 219

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                                  +----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+          |                   +------------COMP_by:N-N-----------+-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A220">Analyse 220

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             |               |     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
COMP_by:N-N (promoters,GENEXXX)
APPOS (GENEXXX,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (transcription,sporulation)

name="reponse" value="A221">Analyse 221

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +----------------------------------------------APPOS---------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----------------------APPOS----------------------+                                             |               |     
               |         +-MOD_ATT:N-N-+          |                   +------------COMP_by:N-N-----------+               |                      +------MOD_ATT:N-N-----+               |     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
APPOS (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A222">Analyse 222

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +----------------------------------------------APPOS---------------------------------------------+               |     
                                                                      +-----------------------APPOS----------------------+                                             |               |     
                                                                      +------------COMP_by:N-N-----------+               |                                             |               |     
               +---------COMP_in:V_PASS-N---------+                   +-----SUBJ:V_PASS-N----+           |               |                                             |               |     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
APPOS (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A223">Analyse 223

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+------COMP_by:V_PASS-N-----+                                             |               |     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (transcription,sporulation)

name="reponse" value="A224">Analyse 224

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               |         +-MOD_ATT:N-N-+          |                   +-----SUBJ:V_PASS-N----+------COMP_by:V_PASS-N-----+                      +------MOD_ATT:N-N-----+               |     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A225">Analyse 225

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
                                                                      +--------------------COMP_by:N-N-------------------+                                             |               |     
                                                                      +------------COMP_by:N-N-----------+               |                                             |               |     
               +---------COMP_in:V_PASS-N---------+                   +-----SUBJ:V_PASS-N----+           |               |                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A226">Analyse 226

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |         +-MOD_ATT:N-N-+          |                   +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             +-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A227">Analyse 227

               +---------COMP_in:V_PASS-N---------+                   +-------------------------------------------COMP_by:N-N------------------------------------------+                     
               |                       +----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+-----APPOS-----+                                             +-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
COMP_by:N-N (promoters,factor)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)

name="reponse" value="A228">Analyse 228

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+                                                             |                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+--------COMP_to:V-V_PASS--------+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+                      |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V-N (identify,factor)
COMP_to:V-V_PASS (identify,activated)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A229">Analyse 229

                                                                                                         +----------------------------APPOS----------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +--------COMP_to:V-V_PASS--------+           +-----APPOS-----+                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_to:V-V_PASS (identify,activated)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A230">Analyse 230

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |                       +----SUBJ:V_PASS-N---+--------COMP_to:V-V_PASS--------+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_to:V-V_PASS (identify,activated)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)

name="reponse" value="A231">Analyse 231

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+          |                                                      +-----APPOS-----+                                             +-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
COMP_by:ADJ-N (likely,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A232">Analyse 232

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             +-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
APPOS (factor,GENEXXX)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A233">Analyse 233

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+          |                                                      +-----APPOS-----+                                             +-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A234">Analyse 234

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (factor,GENEXXX)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A235">Analyse 235

               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+----------------------------APPOS----------------------------+                     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             +-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
COMP_by:V-N (identify,GENEXXX)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A236">Analyse 236

               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+----------------------------APPOS----------------------------+                     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
COMP_by:V-N (identify,GENEXXX)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A237">Analyse 237

               +---------COMP_in:V_PASS-N---------+-------------------COMP_by:V_PASS-N-------------------+----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+          |                   +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A238">Analyse 238

                                                                      +----------------------------------------------APPOS---------------------------------------------+                     
                                                                      +-----------------------APPOS----------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+               |                                             |                     
               |         +-MOD_ATT:N-N-+          |                   +-----SUBJ:V_PASS-N----+           |               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A239">Analyse 239

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
                                                            +---------------------------OBJ:V-N--------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         |         +-----SUBJ:V_PASS-N----+                           |                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
OBJ:V-N (identify,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A240">Analyse 240

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
                                                            +---------------------------OBJ:V-N--------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         |         +-----SUBJ:V_PASS-N----+                           |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
OBJ:V-N (identify,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A241">Analyse 241

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
                                                            +---------------------------OBJ:V-N--------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         |         +------------COMP_by:N-N-----------+               |                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+                          |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
OBJ:V-N (identify,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A242">Analyse 242

                                                                                             +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +--------COMP_to:V-V_PASS--------+------COMP_by:V_PASS-N-----+                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,factor)
COMP_to:V-V_PASS (identify,activated)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A243">Analyse 243

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |                       +----SUBJ:V_PASS-N---+                                +------COMP_by:V_PASS-N-----+                                             +-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A244">Analyse 244

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
                                                            +-------------------------COMP_by:V-N------------------------+                                             |                     
                                                            +-----------------COMP_by:V-N----------------+               |                                             |                     
               +---------COMP_in:V_PASS-N---------+         +--------COMP_to:V-V_PASS--------+           |               |                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_to:V-V_PASS (identify,activated)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,factor)
APPOS (factor,GENEXXX)
COMP_by:V-N (identify,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A245">Analyse 245

                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+                     
                                                                      +--------------------COMP_by:N-N-------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+               |                                             |                     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           |               |                                             +-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A246">Analyse 246

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
                                                            +-------------------------COMP_by:V-N------------------------+                                             |                     
                                                            +-----------------COMP_by:V-N----------------+               |                                             |                     
               +---------COMP_in:V_PASS-N---------+         |         +-----SUBJ:V_PASS-N----+           |               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V-N (identify,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,GENEXXX)
APPOS (factor,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A247">Analyse 247

                                                  +--------------------------------------------------COMP_by:V_PASS-N--------------------------------------------------+                     
                                                  +---------------------------COMP_by:V_PASS-N---------------------------+                                             |                     
                                                  +-------------------COMP_by:V_PASS-N-------------------+               |                                             |                     
               +---------COMP_in:V_PASS-N---------+                   +-----SUBJ:V_PASS-N----+           |               |                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (factor,transcription)
COMP_by:V_PASS-N (used,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_by:V_PASS-N (used,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A248">Analyse 248

                                                  +--------------------------------------------------COMP_by:V_PASS-N--------------------------------------------------+                     
                                                  +---------------------------COMP_by:V_PASS-N---------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+-------------------COMP_by:V_PASS-N-------------------+               |                                             |                     
               |         +-MOD_ATT:N-N-+          |                   +-----SUBJ:V_PASS-N----+           |               |                                             +-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,transcription)
APPOS (factor,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (used,factor)
COMP_by:V_PASS-N (used,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A249">Analyse 249

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A250">Analyse 250

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             |               |     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (transcription,sporulation)

name="reponse" value="A251">Analyse 251

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             +-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A252">Analyse 252

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+          |         |                                            +-----APPOS-----+                                             +-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:ADJ-N (likely,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A253">Analyse 253

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |                       +----SUBJ:V_PASS-N---+                                            +-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A254">Analyse 254

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         |         +------------COMP_by:N-N-----------+                                                             |                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (factor,GENEXXX)
APPOS (GENEXXX,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A255">Analyse 255

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |                       +----SUBJ:V_PASS-N---+         +-----------------------APPOS----------------------+                                             +-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
APPOS (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A256">Analyse 256

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
                                                            |         +-----------------------APPOS----------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         |         +------------COMP_by:N-N-----------+               |                                             |                     
               |         +-MOD_ATT:N-N-+          |         |         +-----SUBJ:V_PASS-N----+           |               |                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A257">Analyse 257

                                                                                                         +------------------------------------APPOS------------------------------------+     
                                                                                                         +----------------------------APPOS----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+         +--------COMP_to:V-V_PASS--------+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_to:V-V_PASS (identify,activated)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A258">Analyse 258

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+                                            +-----APPOS-----+                                             |               |     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A259">Analyse 259

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+----------------------------APPOS----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             |               |     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A260">Analyse 260

                                                                                                         +------------------------------------APPOS------------------------------------+     
                                                                      +------------COMP_by:N-N-----------+----------------------------APPOS----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A261">Analyse 261

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+                                            +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (factor,sporulation)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A262">Analyse 262

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+-----------------COMP_by:V-N----------------+-----APPOS-----+                                             |               |     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
COMP_by:V-N (identify,GENEXXX)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A263">Analyse 263

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+----------------------------APPOS----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A264">Analyse 264

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----SUBJ:V_PASS-N----+------COMP_by:V_PASS-N-----+                                             |               |     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A265">Analyse 265

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               |         +-MOD_ATT:N-N-+          |                   |                      +------COMP_by:V_PASS-N-----+                                             |               |     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (approach,second)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A266">Analyse 266

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         |                      +------COMP_by:V_PASS-N-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A267">Analyse 267

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |         +-MOD_ATT:N-N-+          |         +--------COMP_to:V-V_PASS--------+           +-----APPOS-----+                                             +-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_to:V-V_PASS (identify,activated)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A268">Analyse 268

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+                                                             |                     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             +-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
COMP_by:V-N (identify,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A269">Analyse 269

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+                                                             |                     
               |         +-MOD_ATT:N-N-+          |         +--------COMP_to:V-V_PASS--------+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
COMP_by:V-N (identify,GENEXXX)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_to:V-V_PASS (identify,activated)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,factor)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A270">Analyse 270

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+                                                             |                     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
COMP_by:V-N (identify,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A271">Analyse 271

                                                  +--------------------------------------------------COMP_by:V_PASS-N--------------------------------------------------+                     
                                                  +-------------------COMP_by:V_PASS-N-------------------+                                                             |                     
               +---------COMP_in:V_PASS-N---------+-----------COMP_to:V_PASS-V_PASS----------+           +-----APPOS-----+                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
COMP_by:V_PASS-N (used,factor)
COMP_to:V_PASS-V_PASS (used,activated)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A272">Analyse 272

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+          +-----------COMP_to:V_PASS-V_PASS----------+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
COMP_to:V_PASS-V_PASS (used,activated)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A273">Analyse 273

               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+----------------------------APPOS----------------------------+                     
               |                       +----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
MOD_POST:N-ADJ (promoters,likely)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A274">Analyse 274

                                                                      +----------------------------------------------APPOS---------------------------------------------+                     
                                                                      +-----------------------APPOS----------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+                   +-----SUBJ:V_PASS-N----+                           |                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
APPOS (promoters,factor)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A275">Analyse 275

               +---------COMP_in:V_PASS-N---------+                   +----------------------------------------------APPOS---------------------------------------------+                     
               |         +-MOD_ATT:N-N-+          |                   +-----------------------APPOS----------------------+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+-------COMP_by:ADJ-N------+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |                          |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:ADJ-N (likely,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
APPOS (promoters,factor)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A276">Analyse 276

                                                  +-------------------COMP_by:V_PASS-N-------------------+----------------------------APPOS----------------------------+                     
               +---------COMP_in:V_PASS-N---------+-----------COMP_to:V_PASS-V_PASS----------+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (factor,transcription)
COMP_to:V_PASS-V_PASS (used,activated)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A277">Analyse 277

                                                                      +----------------------------------------------APPOS---------------------------------------------+                     
                                                                      +-----------------------APPOS----------------------+                                             |                     
                                                                      +------------COMP_by:N-N-----------+               |                                             |                     
               +---------COMP_in:V_PASS-N---------+                   +-----SUBJ:V_PASS-N----+           |               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
APPOS (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A278">Analyse 278

                                                                      +----------------------------------------------APPOS---------------------------------------------+                     
                                                                      +-----------------------APPOS----------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+               |                                             |                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----SUBJ:V_PASS-N----+           |               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (factor,GENEXXX)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)

name="reponse" value="A279">Analyse 279

                                                                                             +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               +---------COMP_in:V_PASS-N---------+                   +-----SUBJ:V_PASS-N----+------COMP_by:V_PASS-N-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A280">Analyse 280

                                                                                             +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               +---------COMP_in:V_PASS-N---------+                                          +------COMP_by:V_PASS-N-----+                                             +-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A281">Analyse 281

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+                                +------COMP_by:V_PASS-N-----+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
SUBJ:V_PASS-N (activated,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A282">Analyse 282

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
                                                            +-------------------------COMP_by:V-N------------------------+                                             |                     
                                                            +-----------------COMP_by:V-N----------------+               |                                             |                     
               +---------COMP_in:V_PASS-N---------+         |         +-----SUBJ:V_PASS-N----+           |               |                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V-N (identify,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,GENEXXX)
APPOS (factor,GENEXXX)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A283">Analyse 283

                                                  +--------------------------------------------------COMP_by:V_PASS-N--------------------------------------------------+                     
                                                  +---------------------------COMP_by:V_PASS-N---------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+-------------------COMP_by:V_PASS-N-------------------+               |                                             |                     
               |         +-MOD_ATT:N-N-+          |         +--------COMP_to:V-V_PASS--------+           |               |                                             +-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,transcription)
COMP_to:V-V_PASS (identify,activated)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (used,factor)
COMP_by:V_PASS-N (used,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A284">Analyse 284

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +-------------------------COMP_by:V-N------------------------+                                             |                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+-----------------COMP_by:V-N----------------+               |                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
COMP_by:V-N (identify,factor)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,GENEXXX)

name="reponse" value="A285">Analyse 285

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +-------------------------COMP_by:V-N------------------------+                                             |                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+-----------------COMP_by:V-N----------------+               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
COMP_by:V-N (identify,factor)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,GENEXXX)

name="reponse" value="A286">Analyse 286

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         |                                            +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A287">Analyse 287

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+          |         |         +-----------------------APPOS----------------------+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
APPOS (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A288">Analyse 288

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
                                                            |         +-----------------------APPOS----------------------+                                             |                     
                                                            |         +------------COMP_by:N-N-----------+               |                                             |                     
               +---------COMP_in:V_PASS-N---------+         |         +-----SUBJ:V_PASS-N----+           |               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A289">Analyse 289

                                                                                                         +------------------------------------APPOS------------------------------------+     
                                                                      +------------COMP_by:N-N-----------+----------------------------APPOS----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             |               |     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A290">Analyse 290

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +----------------------------------------------APPOS---------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----------------------APPOS----------------------+                                             |               |     
               |         +-MOD_ATT:N-N-+          |                   +------------COMP_by:N-N-----------+               |                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
APPOS (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A291">Analyse 291

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +----------------------------------------------APPOS---------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----------------------APPOS----------------------+                                             |               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+               |                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
APPOS (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (factor,sporulation)

name="reponse" value="A292">Analyse 292

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   |                      +------COMP_by:V_PASS-N-----+                                             |               |     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A293">Analyse 293

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         |                      +------COMP_by:V_PASS-N-----+                                             |               |     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (activated,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A294">Analyse 294

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
                                                                      +--------------------COMP_by:N-N-------------------+                                             |               |     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+               |                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:N-N (promoters,factor)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A295">Analyse 295

                                                                                             +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               +---------COMP_in:V_PASS-N---------+                                          |           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V_PASS-N (activated,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A296">Analyse 296

               +---------COMP_in:V_PASS-N---------+--------------------------------------------------COMP_by:V_PASS-N--------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+          +-------------------COMP_by:V_PASS-N-------------------+-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
APPOS (factor,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (used,factor)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A297">Analyse 297

               +---------COMP_in:V_PASS-N---------+--------------------------------------------------COMP_by:V_PASS-N--------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+          +-------------------COMP_by:V_PASS-N-------------------+-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
APPOS (factor,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (used,factor)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A298">Analyse 298

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+          |                   +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             +-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A299">Analyse 299

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+          |                   +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              +COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A300">Analyse 300

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+          |                                                      +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A301">Analyse 301

               +---------COMP_in:V_PASS-N---------+-------------------COMP_by:V_PASS-N-------------------+----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+          |         +--------COMP_to:V-V_PASS--------+           +-----APPOS-----+                                             +-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+                      |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
COMP_to:V-V_PASS (identify,activated)
MOD_ATT:N-N (models,Hidden)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A302">Analyse 302

               +---------COMP_in:V_PASS-N---------+                   +----------------------------------------------APPOS---------------------------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +-----------------------APPOS----------------------+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A303">Analyse 303

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
                                                            +---------------------------OBJ:V-N--------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         |         +------------COMP_by:N-N-----------+               |                                             +-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
OBJ:V-N (identify,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A304">Analyse 304

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |                       +----SUBJ:V_PASS-N---+                                +------COMP_by:V_PASS-N-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)

name="reponse" value="A305">Analyse 305

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +-------------------------COMP_by:V-N------------------------+                                             |                     
               |         +-MOD_ATT:N-N-+          |         +-----------------COMP_by:V-N----------------+               |                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V-N (identify,factor)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_by:V-N (identify,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A306">Analyse 306

                                                  +--------------------------------------------------COMP_by:V_PASS-N--------------------------------------------------+                     
                                                  +---------------------------COMP_by:V_PASS-N---------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+-------------------COMP_by:V_PASS-N-------------------+               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (used,factor)
COMP_by:V_PASS-N (used,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A307">Analyse 307

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         |                      |           +-----APPOS-----+                                             |               |     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A308">Analyse 308

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+                                                             |               |     
               |         +-MOD_ATT:N-N-+          |                   +-----SUBJ:V_PASS-N----+           +-----APPOS-----+                                             |               |     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
COMP_by:N-N (promoters,factor)
SUBJ:V_PASS-N (activated,promoters)
MOD_POST:N-ADJ (promoters,likely)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
APPOS (GENEXXX,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A309">Analyse 309

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A310">Analyse 310

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |                       +----SUBJ:V_PASS-N---+                                            +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A311">Analyse 311

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
                                                            |         +-----------------------APPOS----------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         |         +------------COMP_by:N-N-----------+               |                                             |                     
               |         +-MOD_ATT:N-N-+          |         |         +-----SUBJ:V_PASS-N----+           |               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+MOD_POS+              |           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |       |              |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_POST:N-ADJ (promoters,likely)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A312">Analyse 312

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+          |                                                      +-----APPOS-----+                                             |               |     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (approach,second)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A313">Analyse 313

                                                                                                         +------------------------------------APPOS------------------------------------+     
                                                                                                         +----------------------------APPOS----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A314">Analyse 314

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                                  +----------------------------APPOS----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         |                                  +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (factor,sporulation)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A315">Analyse 315

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   +----------------------------------------------APPOS---------------------------------------------+               |     
               |         +-MOD_ATT:N-N-+          |                   +-----------------------APPOS----------------------+                      +------MOD_ATT:N-N-----+               |     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
APPOS (promoters,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)
APPOS (promoters,factor)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A316">Analyse 316

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +--------------------COMP_by:N-N-------------------+                                             |               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+               |                                             |               |     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (approach,second)
COMP_by:N-N (promoters,GENEXXX)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,factor)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (transcription,sporulation)

name="reponse" value="A317">Analyse 317

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +--------------------COMP_by:N-N-------------------+                                             |               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+               |                      +------MOD_ATT:N-N-----+               |     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A318">Analyse 318

               +---------COMP_in:V_PASS-N---------+                   +-------------------------------------------COMP_by:N-N------------------------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
COMP_by:N-N (promoters,GENEXXX)
APPOS (GENEXXX,GENEXXX)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A319">Analyse 319

               +---------COMP_in:V_PASS-N---------+                   +-------------------------------------------COMP_by:N-N------------------------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
COMP_by:N-N (promoters,GENEXXX)
APPOS (GENEXXX,GENEXXX)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A320">Analyse 320

               +---------COMP_in:V_PASS-N---------+         +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
               |         +-MOD_ATT:N-N-+          |         +-----------------COMP_by:V-N----------------+-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_by:V-N (identify,GENEXXX)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,factor)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A321">Analyse 321

                                                                                                         +----------------------------APPOS----------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A322">Analyse 322

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
MOD_ATT:N-N (approach,second)
COMP_by:N-N (promoters,GENEXXX)
APPOS (GENEXXX,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A323">Analyse 323

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +---------------------------OBJ:V-N--------------------------+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
OBJ:V-N (identify,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A324">Analyse 324

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
                                                            +---------------------------OBJ:V-N--------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         |         +------------COMP_by:N-N-----------+               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
OBJ:V-N (identify,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A325">Analyse 325

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +---------------------------OBJ:V-N--------------------------+                                             |                     
               |         +-MOD_ATT:N-N-+          |         |         +------------COMP_by:N-N-----------+               |                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
OBJ:V-N (identify,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A326">Analyse 326

                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+                   +--------------------COMP_by:N-N-------------------+                                             |                     
               |                       +----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+               |                                             +-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
COMP_by:N-N (promoters,factor)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)

name="reponse" value="A327">Analyse 327

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +-------------------------COMP_by:V-N------------------------+                                             |                     
               |                       +----SUBJ:V_PASS-N---+-----------------COMP_by:V-N----------------+               |                                             +-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
COMP_by:V-N (identify,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,factor)
APPOS (factor,GENEXXX)
COMP_by:V-N (identify,GENEXXX)

name="reponse" value="A328">Analyse 328

                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+                   +--------------------COMP_by:N-N-------------------+                                             |                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A329">Analyse 329

                                                  +--------------------------------------------------COMP_by:V_PASS-N--------------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+---------------------------COMP_by:V_PASS-N---------------------------+                                             |                     
               |         +-MOD_ATT:N-N-+          +-------------------COMP_by:V_PASS-N-------------------+               |                                             +-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (used,factor)
COMP_by:V_PASS-N (used,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A330">Analyse 330

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A331">Analyse 331

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+          |         |         +------------COMP_by:N-N-----------+-----APPOS-----+                                             +-----APPOS-----+     
       +MOD_ATT+         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
OBJ:V-N (identify,factor)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A332">Analyse 332

                                                                                                         +------------------------------------APPOS------------------------------------+     
                                                                                                         +----------------------------APPOS----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+-----APPOS-----+                                             |               |     
       +MOD_ATT+                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
       |       |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (approach,second)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A333">Analyse 333

                                                                                                         +------------------------------------APPOS------------------------------------+     
                                                                                                         +----------------------------APPOS----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+-------------------COMP_by:V_PASS-N-------------------+-----APPOS-----+                                             |               |     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A334">Analyse 334

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                                  +----------------------------APPOS----------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A335">Analyse 335

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +----------------------------------------------APPOS---------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----------------------APPOS----------------------+                                             |               |     
               |                       +----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+               |                                             |               |     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
APPOS (promoters,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (promoters,factor)

name="reponse" value="A336">Analyse 336

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +----------------------------------------------APPOS---------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +-----------------------APPOS----------------------+                                             |               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+               |                      +------MOD_ATT:N-N-----+               |     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
APPOS (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A337">Analyse 337

               +---------COMP_in:V_PASS-N---------+                                          +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+                                |           +-----APPOS-----+                                             +-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A338">Analyse 338

               +---------COMP_in:V_PASS-N---------+         +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+-----------------COMP_by:V-N----------------+-----APPOS-----+                                             +-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (activated,promoters)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,transcription)
COMP_by:V-N (identify,GENEXXX)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,factor)

name="reponse" value="A339">Analyse 339

                                                                      +----------------------------------------------APPOS---------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+                   +-----------------------APPOS----------------------+                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (promoters,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A340">Analyse 340

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
                                                            +-------------------------COMP_by:V-N------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+               |                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,transcription)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_by:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,GENEXXX)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A341">Analyse 341

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +-------------------------COMP_by:V-N------------------------+                                             |                     
               |         +-MOD_ATT:N-N-+          |         +-----------------COMP_by:V-N----------------+               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V-N (identify,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,factor)
APPOS (factor,GENEXXX)
COMP_by:V-N (identify,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A342">Analyse 342

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         |                      |           +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A343">Analyse 343

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
               |                       +----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+-----APPOS-----+                                             |               |     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A344">Analyse 344

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A345">Analyse 345

               +---------COMP_in:V_PASS-N---------+         +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
               |                       +----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+-----APPOS-----+                                             +-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)

name="reponse" value="A346">Analyse 346

                                                                                                         +------------------------------------APPOS------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+          |                                                      +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
COMP_by:V_PASS-N (activated,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A347">Analyse 347

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                                  +----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+          |                   |                                  +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A348">Analyse 348

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   |                                  +----------------------------APPOS----------------------------+               |     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+         |                                  +-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (factor,transcription)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A349">Analyse 349

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      |                      +-----------------------------COMP_by:V_PASS-N----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   |                      +------COMP_by:V_PASS-N-----+                                             |               |     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:V_PASS-N (activated,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A350">Analyse 350

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +--------------------COMP_by:N-N-------------------+                                             |               |     
               |         +-MOD_ATT:N-N-+          |                   +------------COMP_by:N-N-----------+               |                      +------MOD_ATT:N-N-----+               |     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:N-N (promoters,factor)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A351">Analyse 351

                                                                                             +-----------------------------COMP_by:V_PASS-N----------------------------+                     
               +---------COMP_in:V_PASS-N---------+                                          |           +-----APPOS-----+                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V_PASS-N (activated,factor)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A352">Analyse 352

                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A353">Analyse 353

               +---------COMP_in:V_PASS-N---------+--------------------------------------------------COMP_by:V_PASS-N--------------------------------------------------+                     
               |         +-MOD_ATT:N-N-+          +-------------------COMP_by:V_PASS-N-------------------+-----APPOS-----+                                             +-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
OBJ:V-N (identify,promoters)
MOD_ATT:N-N (factor,transcription)
COMP_by:V_PASS-N (used,factor)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A354">Analyse 354

                                                                                                         +----------------------------APPOS----------------------------+                     
               +---------COMP_in:V_PASS-N---------+                                                      +-----APPOS-----+                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A355">Analyse 355

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+----SUBJ:V_PASS-N---+                                            +-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
OBJ:V-N (identify,promoters)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)

name="reponse" value="A356">Analyse 356

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |                       +----SUBJ:V_PASS-N---+         +------------COMP_by:N-N-----------+-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
SUBJ:V_PASS-N (identify,models)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)

name="reponse" value="A357">Analyse 357

               +---------COMP_in:V_PASS-N---------+                   +----------------------------------------------APPOS---------------------------------------------+                     
               |                       +----SUBJ:V_PASS-N---+         +-----------------------APPOS----------------------+                                             +-----APPOS-----+     
               |                +MOD_AT+SUBJ:V_PAS+         +-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (identify,models)
MOD_ATT:N-N (GENEXXX,final)
SUBJ:V_PASS-N (used,models)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
APPOS (promoters,factor)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_by:V_PASS-N (activated,GENEXXX)

name="reponse" value="A358">Analyse 358

                                                                                                         +----------------------------APPOS----------------------------+                     
               +---------COMP_in:V_PASS-N---------+-------------------COMP_by:V_PASS-N-------------------+-----APPOS-----+                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A359">Analyse 359

                                                                      +----------------------------------------------APPOS---------------------------------------------+                     
                                                                      +-----------------------APPOS----------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
APPOS (promoters,factor)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A360">Analyse 360

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
                                                            +---------------------------OBJ:V-N--------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         |         +------------COMP_by:N-N-----------+               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
OBJ:V-N (identify,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A361">Analyse 361

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
                                                            +-------------------------COMP_by:V-N------------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         +-----------------COMP_by:V-N----------------+               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V-N (identify,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
SUBJ:V_PASS-N (activated,promoters)
OBJ:V-N (identify,promoters)
COMP_by:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,GENEXXX)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A362">Analyse 362

                                                            +------------------------------------------------COMP_by:V-N-----------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+         +-------------------------COMP_by:V-N------------------------+                                             |                     
               |         +-MOD_ATT:N-N-+          |         +-----------------COMP_by:V-N----------------+               |                                             +-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:V-N (identify,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_by:V-N (identify,factor)
APPOS (factor,GENEXXX)
COMP_by:V-N (identify,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A363">Analyse 363

                                                                      +-------------------------------------------COMP_by:N-N------------------------------------------+                     
               +---------COMP_in:V_PASS-N---------+                   +--------------------COMP_by:N-N-------------------+                                             |                     
               |         +-MOD_ATT:N-N-+          |                   +------------COMP_by:N-N-----------+               |                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
COMP_by:N-N (promoters,factor)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,GENEXXX)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A364">Analyse 364

                                                            +--------------------------------------------------OBJ:V-N-------------------------------------------------+                     
                                                            |         +-----------------------APPOS----------------------+                                             |                     
               +---------COMP_in:V_PASS-N---------+         |         +------------COMP_by:N-N-----------+               |                                             +-----APPOS-----+     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,transcription)
SUBJ:V_PASS-N (activated,promoters)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
OBJ:V-N (identify,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A365">Analyse 365

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      |                                  +----------------------------APPOS----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   |                                  +-----APPOS-----+                                             |               |     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+COMP_by:V_P+        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
COMP_by:V_PASS-N (activated,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,GENEXXX)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A366">Analyse 366

               +---------COMP_in:V_PASS-N---------+                   +-------------------------------------------COMP_by:N-N------------------------------------------+                     
               |         +-MOD_ATT:N-N-+          |                   +------------COMP_by:N-N-----------+-----APPOS-----+                                             +-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      +-MOD_ATT:N-N+MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (transcription,sporulation)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A367">Analyse 367

               +---------COMP_in:V_PASS-N---------+                                                      +----------------------------APPOS----------------------------+                     
               |         +-MOD_ATT:N-N-+          +-------------------COMP_by:V_PASS-N-------------------+-----APPOS-----+                      +------MOD_ATT:N-N-----+-----APPOS-----+     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
COMP_by:V_PASS-N (used,GENEXXX)
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (factor,transcription)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
APPOS (factor,GENEXXX)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A368">Analyse 368

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
               +---------COMP_in:V_PASS-N---------+                   +-------------------------------------------COMP_by:N-N------------------------------------------+               |     
               |         +-MOD_ATT:N-N-+          |                   +------------COMP_by:N-N-----------+-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |         |      +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |         |      |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (promoters,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (models,Hidden)
MOD_ATT:N-N (factor,sporulation)
MOD_ATT:N-N (factor,transcription)
APPOS (GENEXXX,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_by:N-N (promoters,factor)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)

name="reponse" value="A369">Analyse 369

                                                                      +------------------------------------------------------APPOS-----------------------------------------------------+     
                                                                      |                                  +----------------------------APPOS----------------------------+               |     
               +---------COMP_in:V_PASS-N---------+                   +------------COMP_by:N-N-----------+-----APPOS-----+                      +------MOD_ATT:N-N-----+               |     
               |                +MOD_AT+          +COMP_to:V+-OBJ:V-N-+-----SUBJ:V_PASS-N----+           |        +MOD_AT+                      |            +MOD_ATT:N+        +MOD_AT+     
               |                |      |          |         |         |                      |           |        |      |                      |            |         |        |      |     
In a second approach , Hidden Markov models were used to identify promoters likely to be activated by GENEXXX , final GENEXXX , or a third sporulation transcription factor , final GENEXXX .
MOD_ATT:N-N (GENEXXX,final)
APPOS (GENEXXX,factor)
MOD_ATT:N-N (GENEXXX,final)
MOD_ATT:N-N (factor,sporulation)
APPOS (GENEXXX,GENEXXX)
SUBJ:V_PASS-N (activated,promoters)
MOD_ATT:N-N (factor,transcription)
APPOS (promoters,GENEXXX)
COMP_by:N-N (promoters,GENEXXX)
OBJ:V-N (identify,promoters)
COMP_in:V_PASS-N (used,approach)
MOD_ATT:N-N (models,Markov)
COMP_to:V_PASS-V (used,identify)