Review of Biological Network Data and Its Applications.
- Author:
Donghyeon YU
1
;
Minsoo KIM
;
Guanghua XIAO
;
Tae Hyun HWANG
Author Information
- Publication Type:Review
- Keywords: biological network; disease gene prioritization; gene regulatory networks; genome-wide association study; protein function prediction; protein-protein interaction
- MeSH: Biology; Dataset; Gene Regulatory Networks; Genome-Wide Association Study; Mass Screening; Oligonucleotide Array Sequence Analysis
- From:Genomics & Informatics 2013;11(4):200-210
- CountryRepublic of Korea
- Language:English
- 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.
