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Review of Biological Network Data and Its Applications

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 th...

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Detalles Bibliográficos
Autores principales: Yu, Donghyeon, Kim, MinSoo, Xiao, Guanghua, Hwang, Tae Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korea Genome Organization 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3897847/
https://www.ncbi.nlm.nih.gov/pubmed/24465231
http://dx.doi.org/10.5808/GI.2013.11.4.200
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author Yu, Donghyeon
Kim, MinSoo
Xiao, Guanghua
Hwang, Tae Hyun
author_facet Yu, Donghyeon
Kim, MinSoo
Xiao, Guanghua
Hwang, Tae Hyun
author_sort Yu, Donghyeon
collection PubMed
description 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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spelling pubmed-38978472014-01-24 Review of Biological Network Data and Its Applications Yu, Donghyeon Kim, MinSoo Xiao, Guanghua Hwang, Tae Hyun Genomics Inform Review Article 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. Korea Genome Organization 2013-12 2013-12-31 /pmc/articles/PMC3897847/ /pubmed/24465231 http://dx.doi.org/10.5808/GI.2013.11.4.200 Text en Copyright © 2013 by the Korea Genome Organization http://creativecommons.org/licenses/by-nc/3.0/ It is identical to the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/).
spellingShingle Review Article
Yu, Donghyeon
Kim, MinSoo
Xiao, Guanghua
Hwang, Tae Hyun
Review of Biological Network Data and Its Applications
title Review of Biological Network Data and Its Applications
title_full Review of Biological Network Data and Its Applications
title_fullStr Review of Biological Network Data and Its Applications
title_full_unstemmed Review of Biological Network Data and Its Applications
title_short Review of Biological Network Data and Its Applications
title_sort review of biological network data and its applications
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3897847/
https://www.ncbi.nlm.nih.gov/pubmed/24465231
http://dx.doi.org/10.5808/GI.2013.11.4.200
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