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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2017.1
- 수록면
- 12 - 19 (8page)
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Traditionally, biologists have devoted their careers to studying individual biological entities of their own interest, partly due to lack of available data regarding that entity. Large, highthroughput data, too complex for conventional processing methods (i.e., “big data”), has accumulated in cancer biology, which is freely available in public data repositories. Such challenges urge biologists to inspect their biological entities of interest using novel approaches, firstly including repository data retrieval. Essentially, these revolutionary changes demand new interpretations of huge datasets at a systems-level, by so called “systems biology”. One of the representative applications of systems biology is to generate a biological network from high-throughput big data, providing a global map of molecular events associated with specific phenotype changes.
In this review, we introduce the repositories of cancer big data and cutting-edge systems biology tools for network generation, and improved identification of therapeutic targets.
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참고문헌 (27)
참고문헌 신청
Altaf-Ul-Amin M / 2014 / Systems biology in the context of big data and networks / Biomed Res Int 2014 : 428570 ~
Barrett T / 2013 / NCBI GEO: archive for functional genomics data sets--update / Nucleic Acids Res 41 : D991 ~ D995
Cancer Genome Atlas Research Network / 2013 / The Cancer Genome Atlas Pan-Cancer analysis project / Nat Genet 45 : 1113 ~ 1120
Chuang HY / 2010 / A decade of systems biology / Annu Rev Cell Dev Biol 26 : 721 ~ 744
Daniel Jost / 2011 / Small RNA biology is systems biology / BMB Reports 44 (1) : 11 ~ 21
Barrett T / 2013 / NCBI GEO: archive for functional genomics data sets--update / Nucleic Acids Res 41 : D991 ~ D995
Cancer Genome Atlas Research Network / 2013 / The Cancer Genome Atlas Pan-Cancer analysis project / Nat Genet 45 : 1113 ~ 1120
Chuang HY / 2010 / A decade of systems biology / Annu Rev Cell Dev Biol 26 : 721 ~ 744
Daniel Jost / 2011 / Small RNA biology is systems biology / BMB Reports 44 (1) : 11 ~ 21
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