C25
GRNCASE: A High Performance Gene Regulatory Network Construction and Functional Module Discovery and Analysis Web Server

Date: Wednesday, January 16, 2013
Time: 10:50 AM
Room: California
Jun Li , The Samuel Roberts Noble Foundation, Ardmore, OK
Tingsong Liu , The Samuel Roberts Noble Foundation, Ardmore, OK
Patrick Xuechun Zhao , The Samuel Roberts Noble Foundation, Ardmore, OK
We present GRNCASE - a high performance gene regulatory network (GRN) construction and functional module discovery and analysis web server. GRNCASE is able to fast and accurately construct global gene regulatory networks from large scale gene expression data (for example, gene expression profiles from hybridization experiments with thousands of microarrays; and each microarray can contain tens of thousands of probe-sets) attributing to its parallel system implementation of 1) fast B-spline-based mutual information calculation algorithm and 2) effective reduction of false positive predictions through data processing inequality (DPI) analysis. The GRNCASE server also integrates Markov clustering algorithm for functional modules discovery and analysis in the constructed GRNs.

The GRNCASE is publicly and freely available at http://plantgrn.noble.org/GRNCASE/.