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BioMed Research International
Volume 2013 (2013), Article ID 856325, 10 pages
http://dx.doi.org/10.1155/2013/856325
Research Article

DeGNServer: Deciphering Genome-Scale Gene Networks through High Performance Reverse Engineering Analysis

1Bioinformatics Lab, Plant Biology Division, Samuel Roberts Noble Foundation, 2510 Sam Noble Parkway, Ardmore, OK 73401, USA
2School of Forest Resources and Environmental Science, Michigan Technological University, 1400 Townsend Drive, Houghton, MI 49931, USA
3Department of Computer Science, Michigan Technological University, 1400 Townsend Drive, Houghton, MI 49931, USA

Received 22 August 2013; Accepted 1 October 2013

Academic Editor: Zhongming Zhao

Copyright © 2013 Jun Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Jun Li, Hairong Wei, and Patrick Xuechun Zhao, “DeGNServer: Deciphering Genome-Scale Gene Networks through High Performance Reverse Engineering Analysis,” BioMed Research International, vol. 2013, Article ID 856325, 10 pages, 2013. doi:10.1155/2013/856325