Reconstruction of Escherichia coli transcriptional regulatory networks via regulon-based associations.

ABSTRACT:

Background

Network reconstruction methods that rely on covariance of expression of transcription regulators and their targets ignore the fact that transcription of regulators and their targets can be controlled differently and/or independently. Such oversight would result in many erroneous predictions. However, accurate prediction of gene regulatory interactions can be made possible through modeling and estimation of transcriptional activity of groups of co-regulated genes.

Results

Incomplete regulatory connectivity and expression data are used here to construct a consensus network of transcriptional regulation in Escherichia coli (E. coli). The network is updated via a covariance model describing the activity of gene sets controlled by common regulators. The proposed model-

SUBMITTER: Zare H 

PROVIDER: S-EPMC2689187 | biostudies-literature | 2009 Apr

REPOSITORIES: biostudies-literature