Genomics & Informatics

  • 제11권4호
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  • Pages.200-210
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  • 2013
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  • 1598-866X(pISSN)
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  • 2234-0742(eISSN)
한국유전체학회 (Korea Genome Organization)
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DOI QR코드

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Review of Biological Network Data and Its Applications

  • Yu, Donghyeon (Department of Clinical Sciences, Quantitative Biomedical Research Center, University of Texas Southwestern Medical Center) ;
  • Kim, MinSoo (Department of Clinical Sciences, Quantitative Biomedical Research Center, University of Texas Southwestern Medical Center) ;
  • Xiao, Guanghua (Department of Clinical Sciences, Quantitative Biomedical Research Center, University of Texas Southwestern Medical Center) ;
  • Hwang, Tae Hyun (Department of Clinical Sciences, Quantitative Biomedical Research Center, University of Texas Southwestern Medical Center)
  • 투고 : 2013.10.15
  • 심사 : 2013.11.21
  • 발행 : 2013.12.31
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⟨ 이전 논문 다음 논문 ⟩

초록

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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