Cited by 9,327Bioinformatics and Genomic NetworksGenomics and Phylogenetic StudiesBiomedical Text Mining and Ontologies

DAVID: Database for Annotation, Visualization, and Integrated Discovery

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Dennis, Glynn, Sherman, Brad T, Hosack, Douglas A, Yang, Jun, Gao, Wei, Lane, H Clifford, Lempicki, Richard A·2003·Genome Biology

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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  1. [25]25. Searching GenBank http://www.ncbi.nlm.nih.gov/Genbank/GenbankSearch.html
  2. [26]26. UniGene http://www.ncbi.nlm.nih.gov/UniGene
  3. [27]27. RefSeq http://www.ncbi.nlm.nih.gov/RefSeq/
  4. [28]28. LocusLink http://www.ncbi.nlm.nih.gov/LocusLink
  5. [30]30. OMIM http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=OMIM

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Authors
Dennis, G., Sherman, B. T., Hosack, D. A., Yang, J., Gao, W., Lane, H. C., & Lempicki, R. A.
Affiliations
  • National Cancer Institute (US)
  • National Institutes of Health (US)
Corresponding author
Dennis, Glynn
Venue
Genome Biology
Published
2003-04-03
Volume
4
Issue
5
Pages
P3-P3
ISSN
  • 1465-6906 (ISSN-L)
  • 1474-760X
OpenAlex
W2122683221
Cited by
9,327
References
16
Citations by year
2026: 164 · 2025: 352 · 2024: 394 · 2023: 412 · 2022: 486 · 2021: 528 · 2020: 459 · 2019: 429 · 2018: 392 · 2017: 413 · 2016: 377 · 2015: 456 · 2014: 437 · 2013: 484 · 2012: 527
FWCI
38.46
Type
journal article
Language
en
Open access
Locations
  • Genome biology (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion, other-oa)
  • PubMed Central (publishedVersion, other-oa)
  • PubMed (publishedVersion)
Funders
U.S. Public Health Service (N01-C056000)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biomedical Text Mining and Ontologies
Keywords
David, functional annotation, differentially expressed genes, microarray data analysis, Gene Ontology, KEGG pathways, online databases, gene function classification
MeSH terms
Humans, Leukocytes, Mononuclear, Macrophages, HIV-1, Computational Biology, Internet, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling, Databases, Nucleic Acid

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