COREGNET is an R/Bioconductor package to analyze large-scale transcriptomic data by highlighting sets of co-regulators. Based on a transcriptomic dataset, COREGNET can be used to: reconstruct a large-scale co-regulatory network, integrate regulation evidences such as transcription factor binding sites and ChIP data, estimate sample-specific regulator activity, identify cooperative transcription factors and analyze the sample-specific combinations of active regulators through an interactive visualization tool. In this study COREGNET was used to identify driver regulators of bladder cancer. Availability: COREGNET is available at http://bioconductor.org/packages/CoRegNet Contact: remy.nicolle@issb.genopole.fr or mohamed.elati@issb.genopole.fr Supplementary information: Supplementary data are available at Bioinformatics online.
['Rémy Nicolle', 'François Radvanyi', 'Mohamed Elati']
COREGNET: reconstruction and integrated analysis of co-regulatory networks