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

  1. Author:
    Huang, D. W.
    Sherman, B. T.
    Lempicki, R. A.

  2. Author Address

    Huang, Da Wei, Sherman, Brad T.; Lempicki, Richard A.] NCI, Lab Immunopathogenesis & Bioinformat, Clin Serv Program, SAIC Frederick Inc, Frederick, MD 21702 USA.
    1. Year: 2009
  2. Journal: Nature Protocols
    1. 4
    2. 1
    3. Pages: 44-57
  4. Type of Article: Article
  1. 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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External Sources

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  2. DOI: 10.1038/nprot.2008.211
  3. PMID: 19131956

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