info-gibbs motif discovery tool

INTRODUCTION

    info-gibbs is a pattern discovery software based on a Gibbs 
    sampling strategy. Given a set of DNA sequences, a motif length 
    and a background model (Markovian or Bernoulli) it searches for
    motifs (PSSMs) that have the best relative entropy (information content). 

AUTHOR

    Matthieu Defrance <defrance@bigre.ulb.ac.be>


CITATION

    Defrance, M. and van Helden, J. info-gibbs: a motif discovery algorithm
    that directly optimizes information content during sampling,
    Bioinformatics. 2009;25:2715-2722.


INSTALL

    Requirements: a C++ compiler + the C++ STL (Standard Template Library).
    On UNIX friendly environments (Linux, Mac OS X, Windows with MinGW)
    should compile simply using:
    $ make


USAGE

    Simple usage:
    $ info-gibbs -i seq.fa -w 8

    For detailed options:
    $ info-gibbs -h
    

