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Keywords {🔍}

genes, data, gene, annotation, functional, table, information, selecting, analysis, pathway, classification, html, opens, number, gocharts, list, figure, biological, pubmed, article, domain, chart, database, tool, keggcharts, coverage, locuslink, specificity, level, david, protein, affymetrix, identifiers, button, visualization, term, differentially, expressed, kegg, hiv, output, bar, function, lists, size, stress, google, scholar, integrated, discovery,

Topics {✒️}

high-throughput expression profiling provide query-based access introduced high-throughput methodologies provide high-throughput methods receptor/ligand interaction networks 2000/ourimage/pub/shared/jmr_pub_affyannot article number p3 high-density oligonucleotide microarrays tab-delimited text files genome-wide scale affymetrix hu-95a genechip query-based access structured query language functional genomics compendium broad-based data coverage web-based analysis modules variable gene-disease annotation additional gene-specific data query reformulation support download public data glynn dennis jr genome coverage decreases tab-delimited data privacy choices/manage cookies differential gene expression gene ontology consortium intuitive graphical displays parentheses represent r2 genome-scale datasets affymetrix probe sets biological meaning requires affymetrix genechip data data mining tools individual gene products percent coverage decreases conserved protein domains represent term coverage article dennis displays graphic summaries gene list size hiv-1 envelope protein protein information resource exploratory visualization tools term specificity increases increased term specificity highly conserved motif pfam protein domains server time required automated data mining blue bars represent

Schema {🗺️}

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         description:Functional annotation of differentially expressed genes is a necessary and critical step in the analysis of microarray data. The distributed nature of biological knowledge frequently requires researchers to navigate through numerous web-accessible databases gathering information one gene at a time. A more judicious approach is to provide query-based access to an integrated database that disseminates biologically rich information across large datasets and displays graphic summaries of functional information. Database for Annotation, Visualization, and Integrated Discovery (DAVID; http://www.david.niaid.nih.gov ) addresses this need via four web-based analysis modules: 1) Annotation Tool - rapidly appends descriptive data from several public databases to lists of genes; 2) GoCharts - assigns genes to Gene Ontology functional categories based on user selected classifications and term specificity level; 3) KeggCharts - assigns genes to KEGG metabolic processes and enables users to view genes in the context of biochemical pathway maps; and 4) DomainCharts - groups genes according to PFAM conserved protein domains. Analysis results and graphical displays remain dynamically linked to primary data and external data repositories, thereby furnishing in-depth as well as broad-based data coverage. The functionality provided by DAVID accelerates the analysis of genome-scale datasets by facilitating the transition from data collection to biological meaning.
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      name:Science Applications International Corporation-Frederick, Clinical Services Program, Laboratory of Immunopathogenesis and Bioinformatics, National Cancer Institute at Frederick, USA
      name:Science Applications International Corporation-Frederick, Clinical Services Program, Laboratory of Immunopathogenesis and Bioinformatics, National Cancer Institute at Frederick, USA
      name:Science Applications International Corporation-Frederick, Clinical Services Program, Laboratory of Immunopathogenesis and Bioinformatics, National Cancer Institute at Frederick, USA
      name:Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, USA
      name:Science Applications International Corporation-Frederick, Clinical Services Program, Laboratory of Immunopathogenesis and Bioinformatics, National Cancer Institute at Frederick, USA

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