TREEMM is a program for unsupervised clustering of promoter sequence based on modeling of distinct classes of bipartite motifs designed to represent binding sites of different Sigma factors. It allows to account for the non-random distribution of such motifs across a tree aimed at summarizing the correlation between the activities of the promoters.
The publication that describes TREEMM and should be referenced is
Information about how to install the software can be found in the
INSTALL file. Usage of the
program is described in the
file. You can freely use, modify and distribute this program under the
terms of th GPL.
Linux x86 64-bit Binaries, C++ source code and data sets are included
in the zipped archive