Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources

被引：28951

作者：

Huang, Da Wei ^{[1
]}

Sherman, Brad T. ^{[1
]}

Lempicki, Richard A. ^{[1
]}

机构：

[1] NCI, Lab Immunopathogenesis & Bioinformat, Clin Serv Program, SAIC Frederick Inc, Frederick, MD 21702 USA

来源：

NATURE PROTOCOLS | 2009年 / 4卷 / 01期

基金：

美国国家卫生研究院;

关键词：

ONTOLOGY; TOOL;

D O I：

10.1038/nprot.2008.211

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

DAVID bioinformatics resources consists of an integrated biological knowledgebase and analytic tools aimed at systematically extracting biological meaning from large gene/protein lists. This protocol explains how to use DAVID, a high-throughput and integrated data-mining environment, to analyze gene lists derived from high-throughput genomic experiments. The procedure first requires uploading a gene list containing any number of common gene identifiers followed by analysis using one or more text and pathway-mining tools such as gene functional classification, functional annotation chart or clustering and functional annotation table. By following this protocol, investigators are able to gain an in-depth understanding of the biological themes in lists of genes that are enriched in genome-scale studies.

引用

页码：44 / 57

页数：14

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