NCBI GEO: archive for functional genomics data sets-update

被引：7344

作者：

Barrett, Tanya ^{[1
]}

Wilhite, Stephen E. ^{[1
]}

Ledoux, Pierre ^{[1
]}

Evangelista, Carlos ^{[1
]}

Kim, Irene F. ^{[1
]}

Tomashevsky, Maxim ^{[1
]}

Marshall, Kimberly A. ^{[1
]}

Phillippy, Katherine H. ^{[1
]}

Sherman, Patti M. ^{[1
]}

Holko, Michelle ^{[1
]}

Yefanov, Andrey ^{[1
]}

Lee, Hyeseung ^{[1
]}

Zhang, Naigong ^{[1
]}

Robertson, Cynthia L. ^{[1
]}

Serova, Nadezhda ^{[1
]}

Davis, Sean ^{[2
]}

Soboleva, Alexandra ^{[1
]}

机构：

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

[2] NCI, Mol Genet Sect, Genet Branch, NIH, Bethesda, MD 20892 USA

来源：

NUCLEIC ACIDS RESEARCH | 2013年 / 41卷 / D1期

基金：

美国国家卫生研究院;

关键词：

GENE-EXPRESSION;

D O I：

10.1093/nar/gks1193

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, http://www.ncbi.nlm.nih.gov/geo/) is an international public repository for high-throughput microarray and next-generation sequence functional genomic data sets submitted by the research community. The resource supports archiving of raw data, processed data and metadata which are indexed, cross-linked and searchable. All data are freely available for download in a variety of formats. GEO also provides several web-based tools and strategies to assist users to query, analyse and visualize data. This article reports current status and recent database developments, including the release of GEO2R, an R-based web application that helps users analyse GEO data.

引用

页码：D991 / D995

页数：5

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