Journal Article

GIMSAN: a Gibbs motif finder with significance analysis

Patrick Ng and Uri Keich

in Bioinformatics

Volume 24, issue 19, pages 2256-2257
Published in print October 2008 | ISSN: 1367-4803
Published online August 2008 | e-ISSN: 1460-2059 | DOI:
GIMSAN: a Gibbs motif finder with significance analysis

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Summary: We present GIMSAN (GIbbsMarkov with Significance ANalysis): a novel tool for de novo motif finding. GIMSAN combines GibbsMarkov, our variant of the Gibbs Sampler, described here for the first time, with our recently introduced significance analysis.

Availability: GIMSAN is currently available as a web application and a stand-alone application on Unix and PBS (Portable Batch System) cluster through links from


Journal Article.  1330 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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