Reconstructing differentially co-expressed gene modules and regulatory networks of soybean cells.

ABSTRACT:

Background

Current experimental evidence indicates that functionally related genes show coordinated expression in order to perform their cellular functions. In this way, the cell transcriptional machinery can respond optimally to internal or external stimuli. This provides a research opportunity to identify and study co-expressed gene modules whose transcription is controlled by shared gene regulatory networks.

Results

We developed and integrated a set of computational methods of differential gene expression analysis, gene clustering, gene network inference, gene function prediction, and DNA motif identification to automatically identify differentially co-expressed gene modules, reconstruct their regulatory networks, and validate their correctness. We tested the methods usin

SUBMITTER: Zhu M 

PROVIDER: S-EPMC3563468 | biostudies-literature | 2012 Aug

REPOSITORIES: biostudies-literature