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PubMed · 12734009

DAVID: Database for Annotation, Visualization, and Integrated Discovery.

Glynn Dennis·Brad T Sherman·Douglas A Hosack·Jun Yang·Wei Gao·H Clifford Lane·Richard A Lempicki
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Abstract

BACKGROUND: 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. RESULTS: 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. CONCLUSIONS: 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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Computational BiologyDatabases, Nucleic AcidGene Expression ProfilingHIV-1HumansInternetLeukocytes, MononuclearMacrophagesOligonucleotide Array Sequence AnalysisJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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Glynn Dennis, Brad T Sherman, Douglas A Hosack, Jun Yang, Wei Gao, H Clifford Lane, Richard A Lempicki. 2003-04-03. DAVID: Database for Annotation, Visualization, and Integrated Discovery.. https://pubmed.ncbi.nlm.nih.gov/12734009/

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