NCBI GEO: mining tens of millions of expression profiles - database and tools update

被引：1130

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
]}

Edgar, Ron ^{[1
]}

机构：

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

来源：

NUCLEIC ACIDS RESEARCH | 2007年 / 35卷

基金：

美国国家卫生研究院;

关键词：

D O I：

10.1093/nar/gkl887

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) repository at the National Center for Biotechnology Information (NCBI) archives and freely disseminates microarray and other forms of high-throughput data generated by the scientific community. The database has a minimum information about a microarray experiment (MIAME)-compliant infrastructure that captures fully annotated raw and processed data. Several data deposit options and formats are supported, including web forms, spreadsheets, XML and Simple Omnibus Format in Text (SOFT). In addition to data storage, a collection of user-friendly web-based interfaces and applications are available to help users effectively explore, visualize and download the thousands of experiments and tens of millions of gene expression patterns stored in GEO. This paper provides a summary of the GEO database structure and user facilities, and describes recent enhancements to database design, performance, submission format options, data query and retrieval utilities.

引用

页码：D760 / D765

页数：6

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