NCBI GEO: archive for high-throughput functional genomic data

被引：739

作者：

Barrett, Tanya ^{[1
]}

Troup, Dennis B. ^{[1
]}

Wilhite, Stephen E. ^{[1
]}

Ledoux, Pierre ^{[1
]}

Rudnev, Dmitry ^{[1
]}

Evangelista, Carlos ^{[1
]}

Kim, Irene F. ^{[1
]}

Soboleva, Alexandra ^{[1
]}

Tomashevsky, Maxim ^{[1
]}

Marshall, Kimberly A. ^{[1
]}

Phillippy, Katherine H. ^{[1
]}

Sherman, Patti M. ^{[1
]}

Muertter, Rolf N. ^{[1
]}

Edgar, Ron ^{[1
]}

机构：

[1] NIH, Natl Ctr Biotechnol Informat, Natl Lib Med, Bethesda, MD 20892 USA

来源：

NUCLEIC ACIDS RESEARCH | 2009年 / 37卷

基金：

美国国家卫生研究院;

关键词：

MICROARRAY DATA; STANDARDS; CELLS; INFORMATION; EXPRESSION;

D O I：

10.1093/nar/gkn764

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

The Gene Expression Omnibus (GEO) at the National Center for Biotechnology Information (NCBI) is the largest public repository for high-throughput gene expression data. Additionally, GEO hosts other categories of high-throughput functional genomic data, including those that examine genome copy number variations, chromatin structure, methylation status and transcription factor binding. These data are generated by the research community using high-throughput technologies like microarrays and, more recently, next-generation sequencing. The database has a flexible infrastructure that can capture fully annotated raw and processed data, enabling compliance with major community-derived scientific reporting standards such as 'Minimum Information About a Microarray Experiment' (MIAME). In addition to serving as a centralized data storage hub, GEO offers many tools and features that allow users to effectively explore, analyze and download expression data from both gene-centric and experiment-centric perspectives. This article summarizes the GEO repository structure, content and operating procedures, as well as recently introduced data mining features. GEO is freely accessible at http://www.ncbi.nlm.nih.gov/geo/.

引用

页码：D885 / D890

页数：6

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