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

@article{citeulike:3819677, 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.}, author = {Huang, Da W. and Sherman, Brad T. and Lempicki, Richard A.}, booktitle = {Nat. Protocols}, citeulike-article-id = {3819677}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/nprot.2008.211}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/nprot.2008.211}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/19131956}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=19131956}, day = {18}, doi = {10.1038/nprot.2008.211}, issn = {1754-2189}, journal = {Nature Protocols}, keywords = {analysis-tool, bioinformatics, david, microarray, web-tool}, month = {December}, number = {1}, pages = {44--57}, posted-at = {2009-10-09 13:57:10}, priority = {2}, publisher = {Nature Publishing Group}, title = {Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources}, url = {http://dx.doi.org/10.1038/nprot.2008.211}, volume = {4}, year = {2008} }

TY - JOUR ID - citeulike:3819677 L3 - citeulike-article-id:3819677 N2 - 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. IS - 1 JF - Nature Protocols SN - 1754-2189 EP - 57 TI - Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources PB - Nature Publishing Group VL - 4 T2 - Nat. Protocols SP - 44 KW - analysis-tool KW - bioinformatics KW - david KW - microarray KW - web-tool AU - Huang, Da AU - Sherman, Brad AU - Lempicki, Richard PY - 2008/12/18/ UR - http://dx.doi.org/10.1038/nprot.2008.211 ER -