DAVID: Database for Annotation, Visualization, and Integrated Discovery

DAVID: Database for Annotation, Visualization, and Integrated Discovery

14 August 2003 | Glynn Dennis Jr*, Brad T Sherman*, Douglas A Hosack*, Jun Yang*, Wei Gao*, H Clifford Lane† and Richard A Lempicki*
DAVID (Database for Annotation, Visualization, and Integrated Discovery) is a web-accessible program designed to integrate functional genomic annotations with intuitive graphical summaries. It facilitates the interpretation of genome-scale datasets by rapidly annotating and summarizing lists of gene or protein identifiers according to shared categorical data for Gene Ontology, protein domain, and biochemical pathway membership. DAVID addresses the challenge posed by the distributed nature of biological knowledge, which can hinder the transition from statistical significance to biological discovery. The program includes four main modules: Annotation Tool, GoCharts, KeggCharts, and DomainCharts, each providing different levels of functional annotation and visualization. DAVID is particularly useful for analyzing large lists of genes from human, mouse, rat, or fly genomes, and it has been demonstrated using Affymetrix GeneChip data. Compared to related programs, DAVID combines features of both exploratory and annotation tools, offering dynamic visualizations and integrated access to multiple data sources.DAVID (Database for Annotation, Visualization, and Integrated Discovery) is a web-accessible program designed to integrate functional genomic annotations with intuitive graphical summaries. It facilitates the interpretation of genome-scale datasets by rapidly annotating and summarizing lists of gene or protein identifiers according to shared categorical data for Gene Ontology, protein domain, and biochemical pathway membership. DAVID addresses the challenge posed by the distributed nature of biological knowledge, which can hinder the transition from statistical significance to biological discovery. The program includes four main modules: Annotation Tool, GoCharts, KeggCharts, and DomainCharts, each providing different levels of functional annotation and visualization. DAVID is particularly useful for analyzing large lists of genes from human, mouse, rat, or fly genomes, and it has been demonstrated using Affymetrix GeneChip data. Compared to related programs, DAVID combines features of both exploratory and annotation tools, offering dynamic visualizations and integrated access to multiple data sources.
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