Jul 072012
 

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.

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