MotifSampler 3.2 – Probablistic Motif Detection Approach based on Gibbs Sampling

MotifSampler 3.2

:: DESCRIPTION

MotifSampler tries to find over-represented motifs in the upstream region of a set of co-regulated genes. This motif finding algorithm uses Gibbs sampling to find the position probability matrix that represents the motif. In this implementation we focus on the use of higher-order background models to improve the robustness of the motif finding. At the moment the MotifSampler comes with background models for several organisms .

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::DEVELOPER

Bioinformatics Research Group, Belgium

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux /  Windows / MacOsX
  • Perl

:: DOWNLOAD

 MotifSampler

:: MORE INFORMATION

Citation

Thijs G., Lescot M., Marchal K., Rombauts S., De Moor B., Rouzé P., Moreau Y., 2001.
A higher order background model improves the detection of regulatory elements by Gibbs Sampling,
Bioinformatics, 17(12),1113-1122.

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