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Curr Opin Syst Biol. 2018 Oct;11:57-64. doi: 10.1016/j.coisb.2018.08.010. Epub 2018 Aug 29.

Applications of ENCODE data to Systematic Analyses via Data Integration.

Zhao Y1,2, Schaafsma E1,2, Cheng C1,2,3.

Author information

1
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.
2
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.
3
Norris Cotton Cancer Center, The Geisel School of Medicine at Dartmouth College, One Medical Center Dr., Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States, 03756.

Abstract

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.

PMID:
31011690
PMCID:
PMC6474416
[Available on 2019-10-01]
DOI:
10.1016/j.coisb.2018.08.010

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