通过数据整合将ENCODE数据应用于系统分析。
Applications of ENCODE data to Systematic Analyses via Data Integration.
作者信息
Zhao Yanding, Schaafsma Evelien, Cheng Chao
机构信息
Department of Biomedical Data Science, The Geisel School of Medicine at Dartmouth College, One Medical Center Dr., Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States, 03756.
Department of Molecular and Systems Biology, The Geisel School of Medicine at Dartmouth College, One Medical Center Dr., Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States, 03756.
出版信息
Curr Opin Syst Biol. 2018 Oct;11:57-64. doi: 10.1016/j.coisb.2018.08.010. Epub 2018 Aug 29.
Large-scale genomic data have been utilized to generate unprecedented biological findings and new hypotheses. To delineate functional elements in the human genome, the Encyclopedia of DNA Elements (ENCODE) project has generated an enormous amount of genomic data, yielding around 7,000 data profiles in different cell and tissue types. In this article, we reviewed the systematic analyses that have integrated ENCODE data with other data sources to reveal new biological insights, ranging from human genome annotation to the identification of new candidate drugs. These analyses demonstrate the critical impact of ENCODE data on basic biology and translational research.
大规模基因组数据已被用于产生前所未有的生物学发现和新假设。为了描绘人类基因组中的功能元件，DNA元件百科全书（ENCODE）项目产生了大量的基因组数据，在不同的细胞和组织类型中产生了约7000个数据图谱。在本文中，我们回顾了将ENCODE数据与其他数据源整合以揭示新生物学见解的系统分析，范围从人类基因组注释到新候选药物的鉴定。这些分析证明了ENCODE数据对基础生物学和转化研究的关键影响。
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