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 .

Non annotée
Je ne sais pas
Je n'ai pas trouvé d'analyse satisfaisante

Commentaires :

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)