Ontology type: schema:ScholarlyArticle
2008-12-18
AUTHORSDa Wei Huang, Brad T Sherman, Richard A Lempicki
ABSTRACTDAVID 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. More... »
PAGES44-57
http://scigraph.springernature.com/pub.10.1038/nprot.2008.211
DOIhttp://dx.doi.org/10.1038/nprot.2008.211
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1039987283
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/19131956
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