Email updates

Keep up to date with the latest news and content from Genome Biology and BioMed Central.

This article has not been peer reviewed.

Highly Accessed Deposited research article

DAVID: Database for Annotation, Visualization, and Integrated Discovery

Glynn Dennis1*, Brad T Sherman1, Douglas A Hosack1, Jun Yang1, Wei Gao1, H Clifford Lane2 and Richard A Lempicki1

Author Affiliations

1 Science Applications International Corporation-Frederick, Clinical Services Program, Laboratory of Immunopathogenesis and Bioinformatics, National Cancer Institute at Frederick, MD 21702, USA

2 Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, 20892, USA

For all author emails, please log on.

Genome Biology 2003, 4:P3  doi:10.1186/gb-2003-4-5-p3


This is the first version of this article to be made available publicly. A peer-reviewed and modified version is now available in full at http://genomebiology.com/2003/4/9/R60

Published: 3 April 2003

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 webcite) 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.