A Monte Carlo-based framework enhances the discovery and interpretation of regulatory sequence motifs

A Monte Carlo-based framework enhances the discovery and interpretation of regulatory sequence motifs

<p>Abstract</p> <p>Background</p> <p>Discovery of functionally significant short, statistically overrepresented subsequence patterns (motifs) in a set of sequences is a challenging problem in bioinformatics. Oftentimes, not all sequences in the set contain a motif. Thes...

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Bibliographic Details
Main Authors: Seitzer Phillip, Wilbanks Elizabeth G, Larsen David J, Facciotti Marc T
Format: Article
Language:English
Published: BMC 2012-11-01
Series:BMC Bioinformatics
Subjects:
Motif
Monte Carlo
ChIP-seq
ChIP-chip
Comparative genomics
MEME
STAMP
TFB
Online Access:http://www.biomedcentral.com/1471-2105/13/317

Internet

http://www.biomedcentral.com/1471-2105/13/317

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