DAVID: Database for Annotation, Visualization, and Integrated Discovery
By Glynn Dennis, Brad T. Sherman, Douglas A. Hosack, Jun Yang, W. Gao, H. Clifford Lane, Richard A. Lempicki. Genome Biology, 2003
1,810 citations recorded by the source corpus.
BackgroundFunctional 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.ResultsDatabase 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.ConclusionsAnalysis 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.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/607ca163b2635f9992e773d1b1d07d39d5d33f4e
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Citations in the corpus
- Cistrome: an integrative platform for transcriptional regulation studies (2011, methodology): “This tool uses Bioconductor GO and GOstats [15] packages together with a query to the DAVID (Database for Annotation, Visualization and Integrated Discovery) web server [16].”
- A Myc rather than core pluripotency module accounts for the shared signatures of embryonic stem and cancer cells (2010, positive): “To test whether the information generated from the factor co-occupancy in the Myc cluster is functionally relevant, we compared KEGG pathways (Dennis et al., 2003; Ogata et al., 1999) enriched in the genes that are common targets of at least six factors among seven factors in the Myc cluster (Myc, M”