article Open AccessTop 10% cited
DAVID: Database for Annotation, Visualization, and Integrated Discovery
Genome biology · 2003 · Vol. 4(9)
Glynn Dennis✉(Science Applications International Corporation (United States))Brad T. Sherman(Science Applications International Corporation (United States))Douglas A Hosack(National Cancer Institute)Jun Yang(Science Applications International Corporation (United States))Wei Gao(Science Applications International Corporation (United States))H. Clifford Lane(National Institutes of Health)Richard A. Lempicki(National Cancer Institute)
Abstract
The distributed nature of biological knowledge poses a major challenge to the interpretation of genome-scale datasets, including those derived from microarray and proteomic studies. This report describes DAVID, a web-accessible program that integrates functional genomic annotations with intuitive graphical summaries. Lists of gene or protein identifiers are rapidly annotated and summarized according to shared categorical data for Gene Ontology, protein domain, and biochemical pathway membership. DAVID assists in the interpretation of genome-scale datasets by facilitating the transition from data collection to biological meaning.
Bioinformatics and Genomic NetworksBiomedical Text Mining and OntologiesGene expression and cancer classificationAnnotationOntologyIdentifierVisualizationGene ontologyBiologyGenomeComputational biologyData integrationGenome project
Funding
- U.S. Department of Health and Human Services
- University of Michigan
- National Institutes of Health
- National Institute of Allergy and Infectious Diseases
Citations
2,369
FWCI
6.83
field-weighted impact
References
11
Percentile
98%
vs. same field & year
Citations per year
References
Gene Ontology: tool for the unification of biology
Nature Genetics · 2000 · 43,975 citations
Pfam: A comprehensive database of protein domain families based on seed alignments
Proteins Structure Function and Bioinformatics · 1997 · 1,247 citations
KEGG: Kyoto Encyclopedia of Genes and Genomes
Nucleic Acids Research · 2000 · 38,352 citations
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