GIMSAN 20100830

:: DESCRIPTION

GIMSAN (GIbbsMarkov with Significance ANalysis) is a web-server tool for de novo motif discovery:

• Hybrid Gibbs sampler for motif finding that uses a Bayesian prior on the percentage of sequences containing sites but uses a maximum likelihood approach on the motif matrix
• Biologically realistic and reliable statistical significance analysis
• Using a 3-Gamma approximation scheme
• Factoring local sequence composition information
• Reports an approximate 95% confidence interval of the point estimator of the motif p-value
• Can be used to select the optimal width from a range of motif widths based on our significance analysis
• Column pair dependency estimated using a Monte-Carlo scheme

GIMSAN Onlinr Version

:: DEVELOPER

Patrick Ng

:: SCREENSHOTS

N/A

:: REQUIREMENTS

• Linux

:: DOWNLOAD

 GIMSAN

:: MORE INFORMATION

Citation:

Patrick Ng, Uri Keich.
GIMSAN: A Gibbs motif finder with significance analysis.
Bioinformatics, 24 (19): 2256-2257, 2008.