title: Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources.
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.
authors.affiliation: Laboratory of Immunopathogenesis and Bioinformatics, Clinical Services Program, SAIC-Frederick Inc., National Cancer Institute at Frederick, Frederick, Maryland 21702, USA.
authors.forename: Da Wei
authors.initials: da W
authors.lastname: Huang
authors.forename: Brad T
authors.initials: BT
authors.lastname: Sherman
authors.forename: Richard A
authors.initials: RA
authors.lastname: Lempicki
mesh_terms: D019295:Computational Biology / Q000379:methods*; D003627:Data Interpretation, Statistical; D005796:Genes / Q000235:genetics*; D023281:Genomics / Q000379:methods*; D020407:Internet; D012984:Software