An integrative approach to inferring gene regulatory module networks.

ABSTRACT:

Background

Gene regulatory networks (GRNs) provide insight into the mechanisms of differential gene expression at a system level. However, the methods for inference, functional analysis and visualization of gene regulatory modules and GRNs require the user to collect heterogeneous data from many sources using numerous bioinformatics tools. This makes the analysis expensive and time-consuming.

Results

In this work, the BiologicalNetworks application-the data integration and network based research environment-was extended with tools for inference and analysis of gene regulatory modules and networks. The backend database of the application integrates public data on gene expression, pathways, transcription factor binding sites, gene and protein sequences, and functional annotati

SUBMITTER: Baitaluk M 

PROVIDER: S-EPMC3527610 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature