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

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Nature protocols

Springer Nature

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      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.

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      Affiliations
      [1 ] Laboratory of Immunopathogenesis and Bioinformatics, Clinical Services Program, SAIC-Frederick Inc., National Cancer Institute at Frederick, Frederick, Maryland 21702, USA.
      Journal
      Nat Protoc
      Nature protocols
      Springer Nature
      1750-2799
      1750-2799
      2009
      : 4
      : 1
      19131956 nprot.2008.211 10.1038/nprot.2008.211

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