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1: Genome Biol. 2006;7(6):R49.Click here to read Click here to read Links

A steganalysis-based approach to comprehensive identification and characterization of functional regulatory elements.

Department of Computer Science and Engineering, Washington University, St, Louis, MO 63130, USA.

The comprehensive identification of cis-regulatory elements on a genome scale is a challenging problem. We develop a novel, steganalysis-based approach for genome-wide motif finding, called WordSpy, by viewing regulatory regions as a stegoscript with cis-elements embedded in 'background' sequences. We apply WordSpy to the promoters of cell-cycle-related genes of Saccharomyces cerevisiae and Arabidopsis thaliana, identifying all known cell-cycle motifs with high ranking. WordSpy can discover a complete set of cis-elements and facilitate the systematic study of regulatory networks.

PMID: 16787547 [PubMed - indexed for MEDLINE]

PMCID: PMC1779545