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

Tanya Barrett(National Institutes of Health), D. B. Troup(National Institutes of Health), S. E. Wilhite(National Institutes of Health), Pierre Ledoux(National Institutes of Health), C. Evangelista(National Institutes of Health), Irene F. Kim(National Institutes of Health), Maxim Tomashevsky(National Institutes of Health), Kimberly A. Marshall(National Institutes of Health), Katherine Phillippy(National Institutes of Health), Philip M. Sherman(National Institutes of Health), R. N. Muertter(National Institutes of Health), Michelle Holko(National Institutes of Health), Oluwabukunmi Ayanbule(National Institutes of Health), Andrey Yefanov(National Institutes of Health), А. Г. Соболева(National Institutes of Health)
Nucleic Acids Research
November 21, 2010
Cited by 1,136Open Access
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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/.


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