GIMSAN -- A Gibbs motif finder with significance analysis
What you can do:
A novel tool for de novo motif finding.
Highlights:
- 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.
Keywords:
- motif finding
- motif
Literature & Tutorials:
This record last updated: 09-03-2008