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

Nat Protoc. 2009;4(1):44-57. doi: 10.1038/nprot.2008.211.

Abstract

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.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Computational Biology / methods*
  • Data Interpretation, Statistical
  • Genes / genetics*
  • Genomics / methods*
  • Internet*
  • Software*