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

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.

Pubmed ID: 12734009


  • Dennis G
  • Sherman BT
  • Hosack DA
  • Yang J
  • Gao W
  • Lane HC
  • Lempicki RA


Genome biology

Publication Data

May 7, 2003

Associated Grants

  • Agency: PHS HHS, Id: N01-C0-56000

Mesh Terms

  • Computational Biology
  • Databases, Nucleic Acid
  • Gene Expression Profiling
  • HIV-1
  • Humans
  • Internet
  • Leukocytes, Mononuclear
  • Macrophages
  • Oligonucleotide Array Sequence Analysis