Extraction of transcription regulatory signals from genome-wide DNA-protein interaction data.

ABSTRACT: Deciphering gene regulatory network architecture amounts to the identification of the regulators, conditions in which they act, genes they regulate, cis-acting motifs they bind, expression profiles they dictate and more complex relationships between alternative regulatory partnerships and alternative regulatory motifs that give rise to sub-modalities of expression profiles. The 'location data' in yeast is a comprehensive resource that provides transcription factor-DNA interaction information in vivo. Here, we provide two contributions: first, we developed means to assess the extent of noise in the location data, and consequently for extracting signals from it. Second, we couple signal extraction with better characterization of the genetic network architecture. We apply two methods for the

SUBMITTER: Garten Y 

PROVIDER: S-EPMC548334 | biostudies-literature | 2005

REPOSITORIES: biostudies-literature