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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korea Genome Organization
2013
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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. |
format | Online Article Text |
id | pubmed-3897847 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Korea Genome Organization |
record_format | MEDLINE/PubMed |
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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