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NCBI GEO: archive for functional genomics data sets--10 years on.

作者信息

Barrett Tanya, Troup Dennis B, Wilhite Stephen E, Ledoux Pierre, Evangelista Carlos, Kim Irene F, Tomashevsky Maxim, Marshall Kimberly A, Phillippy Katherine H, Sherman Patti M, Muertter Rolf N, Holko Michelle, Ayanbule Oluwabukunmi, Yefanov Andrey, Soboleva Alexandra

机构信息

National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 45 Center Drive, Bethesda, MD 20892, USA.

出版信息

Nucleic Acids Res. 2011 Jan;39(Database issue):D1005-10. doi: 10.1093/nar/gkq1184. Epub 2010 Nov 21.


DOI:10.1093/nar/gkq1184
PMID:21097893
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3013736/
Abstract

A decade ago, the Gene Expression Omnibus (GEO) database was established at the National Center for Biotechnology Information (NCBI). The original objective of GEO was to serve as a public repository for high-throughput gene expression data generated mostly by microarray technology. However, the research community quickly applied microarrays to non-gene-expression studies, including examination of genome copy number variation and genome-wide profiling of DNA-binding proteins. Because the GEO database was designed with a flexible structure, it was possible to quickly adapt the repository to store these data types. More recently, as the microarray community switches to next-generation sequencing technologies, GEO has again adapted to host these data sets. Today, GEO stores over 20,000 microarray- and sequence-based functional genomics studies, and continues to handle the majority of direct high-throughput data submissions from the research community. Multiple mechanisms are provided to help users effectively search, browse, download and visualize the data at the level of individual genes or entire studies. This paper describes recent database enhancements, including new search and data representation tools, as well as a brief review of how the community uses GEO data. GEO is freely accessible at http://www.ncbi.nlm.nih.gov/geo/.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b60/3013736/7268808d3af7/gkq1184f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b60/3013736/7268808d3af7/gkq1184f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b60/3013736/7268808d3af7/gkq1184f1.jpg

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本文引用的文献

[1]
NCBI Epigenomics: a new public resource for exploring epigenomic data sets.

Nucleic Acids Res. 2011-1

[2]
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BMC Cancer. 2010-6-28

[3]
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Nucleic Acids Res. 2010-5-31

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BMC Med Genomics. 2010-5-6

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Proc Natl Acad Sci U S A. 2010-4-1

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[10]
Network-based elucidation of human disease similarities reveals common functional modules enriched for pluripotent drug targets.

PLoS Comput Biol. 2010-2-5

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