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DAVID: Database for Annotation, Visualization, and Integrated Discovery
Open accessAbstract
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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“DAVID yielded consistent results with 59 pathways enriched in probands and 19 in siblings (p=0.01, permutation analysis)”
From Multiple recurrent de novo CNVs, including duplications of the 7q11.23 Williams syndrome region, are strongly associated with autism (2011) · cites this paper as Dennis et al., 2003
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Metadata
- 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
- PMC
- PMC193660
- 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
- gold
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- 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
- Health Sciences › Medicine › Health Informatics › 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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