About this Journal Submit a Manuscript Table of Contents
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.

Citations to this Article [9 citations]

The following is the list of published articles that have cited the current article.

  • Richard B Kennedy, Inna G Ovsyannikova, Nathaniel D Lambert, Iana H Haralambieva, and Gregory A Poland, “The personal touch: strategies toward personalized vaccines and predicting immune responses to them,” Expert Review of Vaccines, pp. 1–13, 2014. View at Publisher · View at Google Scholar
  • Sanchari Sircar, and Nita Parekh, “Functional characterization of drought-responsive modules and genes in Oryza sativa: a network-based approach,” Frontiers in Genetics, vol. 6, 2015. View at Publisher · View at Google Scholar
  • Brigitte Gasser, Matthias G. Steiger, and Diethard Mattanovich, “Methanol regulated yeast promoters: production vehicles and toolbox for synthetic biology,” Microbial Cell Factories, vol. 14, 2015. View at Publisher · View at Google Scholar
  • Jun Li, Xinbin Dai, Zhaohong Zhuang, and Patrick X. Zhao, “LegumeIP 2.0—a platform for the study of gene function and genome evolution in legumes,” Nucleic Acids Research, vol. 44, no. D1, pp. D1189–D1194, 2015. View at Publisher · View at Google Scholar
  • Jun Li, and Patrick X. Zhao, “Mining Functional Modules in Heterogeneous Biological Networks Using Multiplex PageRank Approach,” Frontiers in Plant Science, vol. 7, 2016. View at Publisher · View at Google Scholar
  • Samantha Riccadonna, Giuseppe Jurman, Roberto Visintainer, Michele Filosi, and Cesare Furlanello, “DTW-MIC Coexpression Networks from Time-Course Data,” Plos One, vol. 11, no. 3, 2016. View at Publisher · View at Google Scholar
  • Zhijun Liao, Xinrui Wang, Yeting Zeng, and Quan Zou, “Identification of DEP domain-containing proteins by a machine learning method and experimental analysis of their expression in human HCC tissues,” Scientific Reports, vol. 6, pp. 39655, 2016. View at Publisher · View at Google Scholar
  • Abbasali Emamjomeh, Elham Saboori Robat, Javad Zahiri, Mahmood Solouki, and Pegah Khosravi, “Gene co-expression network reconstruction: a review on computational methods for inferring functional information from plant-based expression data,” Plant Biotechnology Reports, 2017. View at Publisher · View at Google Scholar
  • Faraz Khan, Hui Chai, Ishan Ajmera, Charlie Hodgman, Sean Mayes, and Chungui Lu, “A Transcriptomic Comparison of Two Bambara Groundnut Landraces under Dehydration Stress,” Genes, vol. 8, no. 4, pp. 121, 2017. View at Publisher · View at Google Scholar