Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
DW Huang, BT Sherman, RA Lempicki - Nature protocols, 2009 - nature.com
DW Huang, BT Sherman, RA Lempicki
Nature protocols, 2009•nature.comDAVID 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 …
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 …
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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