DAVID Bioinformatics Resources: expanded annotation database and novel algorithms to better extract biology from large gene lists Export

@article{citeulike:1530640, abstract = {All tools in the DAVID Bioinformatics Resources aim to provide functional interpretation of large lists of genes derived from genomic studies. The newly updated DAVID Bioinformatics Resources consists of the DAVID Knowledgebase and five integrated, web-based functional annotation tool suites: the DAVID Gene Functional Classification Tool, the DAVID Functional Annotation Tool, the DAVID Gene ID Conversion Tool, the DAVID Gene Name Viewer and the DAVID NIAID Pathogen Genome Browser. The expanded DAVID Knowledgebase now integrates almost all major and well-known public bioinformatics resources centralized by the DAVID Gene Concept, a single-linkage method to agglomerate tens of millions of diverse gene/protein identifiers and annotation terms from a variety of public bioinformatics databases. For any uploaded gene list, the DAVID Resources now provides not only the typical gene-term enrichment analysis, but also new tools and functions that allow users to condense large gene lists into gene functional groups, convert between gene/protein identifiers, visualize many-genes-to-many-terms relationships, cluster redundant and heterogeneous terms into groups, search for interesting and related genes or terms, dynamically view genes from their lists on bio-pathways and more. With DAVID (http://david.niaid.nih.gov), investigators gain more power to interpret the biological mechanisms associated with large gene lists. 10.1093/nar/gkm415}, address = {Laboratory of Immunopathogenesis and Bioinformatics, SAIC-Frederick, Inc., National Cancer Institute at Frederick, MD 21702, USA.}, author = {Huang, Da W. and Sherman, Brad T. and Tan, Qina and Kir, Joseph and Liu, David and Bryant, David and Guo, Yongjian and Stephens, Robert and Baseler, Michael W. and Lane, H. Clifford and Lempicki, Richard A.}, citeulike-article-id = {1530640}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/nar/gkm415}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/17576678}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=17576678}, day = {18}, doi = {10.1093/nar/gkm415}, issn = {1362-4962}, journal = {Nucl. Acids Res.}, keywords = {annotation, bioinformatics, bioinformaticstool, clustering, database, genomics, proteomics}, month = {June}, number = {Web Server issue}, pages = {gkm415+}, posted-at = {2009-07-16 10:23:14}, priority = {2}, title = {DAVID Bioinformatics Resources: expanded annotation database and novel algorithms to better extract biology from large gene lists}, url = {http://dx.doi.org/10.1093/nar/gkm415}, volume = {35}, year = {2007} }

TY - JOUR ID - citeulike:1530640 L3 - citeulike-article-id:1530640 N2 - All tools in the DAVID Bioinformatics Resources aim to provide functional interpretation of large lists of genes derived from genomic studies. The newly updated DAVID Bioinformatics Resources consists of the DAVID Knowledgebase and five integrated, web-based functional annotation tool suites: the DAVID Gene Functional Classification Tool, the DAVID Functional Annotation Tool, the DAVID Gene ID Conversion Tool, the DAVID Gene Name Viewer and the DAVID NIAID Pathogen Genome Browser. The expanded DAVID Knowledgebase now integrates almost all major and well-known public bioinformatics resources centralized by the DAVID Gene Concept, a single-linkage method to agglomerate tens of millions of diverse gene/protein identifiers and annotation terms from a variety of public bioinformatics databases. For any uploaded gene list, the DAVID Resources now provides not only the typical gene-term enrichment analysis, but also new tools and functions that allow users to condense large gene lists into gene functional groups, convert between gene/protein identifiers, visualize many-genes-to-many-terms relationships, cluster redundant and heterogeneous terms into groups, search for interesting and related genes or terms, dynamically view genes from their lists on bio-pathways and more. With DAVID (http://david.niaid.nih.gov), investigators gain more power to interpret the biological mechanisms associated with large gene lists. 10.1093/nar/gkm415 IS - Web Server issue JF - Nucl. Acids Res. SN - 1362-4962 AD - Laboratory of Immunopathogenesis and Bioinformatics, SAIC-Frederick, Inc., National Cancer Institute at Frederick, MD 21702, USA. TI - DAVID Bioinformatics Resources: expanded annotation database and novel algorithms to better extract biology from large gene lists VL - 35 SP - gkm415 KW - annotation KW - bioinformatics KW - bioinformaticstool KW - clustering KW - database KW - genomics KW - proteomics AU - Huang, Da AU - Sherman, Brad AU - Tan, Qina AU - Kir, Joseph AU - Liu, David AU - Bryant, David AU - Guo, Yongjian AU - Stephens, Robert AU - Baseler, Michael AU - Lane, Clifford AU - Lempicki, Richard PY - 2007/06/18/ UR - http://dx.doi.org/10.1093/nar/gkm415 ER -