DAVID: Database for Annotation, Visualization, and Integrated Discovery
2003; BioMed Central; Volume: 4; Issue: 5 Linguagem: Inglês
10.1186/gb-2003-4-5-p3
ISSN1474-760X
AutoresGlynn Dennis, Brad T. Sherman, Douglas A Hosack, Jun Yang, Wei Gao, H. Clifford Lane, Richard A. Lempicki,
Tópico(s)Biomedical Text Mining and Ontologies
ResumoFunctional 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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