Unraveling condition specific gene transcriptional regulatory networks in Saccharomyces cerevisiae.

ABSTRACT:

Background

Gene expression and transcription factor (TF) binding data have been used to reveal gene transcriptional regulatory networks. Existing knowledge of gene regulation can be presented using gene connectivity networks. However, these composite connectivity networks do not specify the range of biological conditions of the activity of each link in the network.

Results

We present a novel method that utilizes the expression and binding patterns of the neighboring nodes of each link in existing experimentally-based, literature-derived gene transcriptional regulatory networks and extend them in silico using TF-gene binding motifs and a compendium of large expression data from Saccharomyces cerevisiae. Using this method, we predict several hundreds of new transcriptional reg

SUBMITTER: Kim H 

PROVIDER: S-EPMC1488875 | biostudies-literature | 2006 Mar

REPOSITORIES: biostudies-literature