Yu D, Kim M, Xiao G, Hwang TH. Review of biological network data and its applications.
Genomics Inform 2013;
11:200-10. [PMID:
24465231 PMCID:
PMC3897847 DOI:
10.5808/gi.2013.11.4.200]
[Citation(s) in RCA: 65] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2013] [Revised: 11/20/2013] [Accepted: 11/21/2013] [Indexed: 12/16/2022] Open
Abstract
Studying biological networks, such as protein-protein interactions, is key to understanding complex biological activities. Various types of large-scale biological datasets have been collected and analyzed with high-throughput technologies, including DNA microarray, next-generation sequencing, and the two-hybrid screening system, for this purpose. In this review, we focus on network-based approaches that help in understanding biological systems and identifying biological functions. Accordingly, this paper covers two major topics in network biology: reconstruction of gene regulatory networks and network-based applications, including protein function prediction, disease gene prioritization, and network-based genome-wide association study.
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