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

Guandong Wang, Weixiong Zhang

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

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.

Original languageEnglish
Article numberR49
JournalGenome biology
Volume7
Issue number6
DOIs
StatePublished - Jun 20 2006

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