GIMSAN: a Gibbs motif finder with significance analysis
Author(s) -
Patrick P. Ng,
Uri Keich
Publication year - 2008
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btn408
Subject(s) - unix , computer science , motif (music) , computational biology , operating system , data mining , software , biology , physics , acoustics
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.
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