DAVID: Database for Annotation, Visualization, and Integrated Discovery
Science Applications International Corporation (United States) · National Cancer Institute · +2 more institutions
Abstract
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.
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.
Citation impact
- FWCI
- 38.60
- Percentile
- 100%
- References
- 16
Authors
7- GDGlynn DennisCorresponding
Science Applications International Corporation (United States), National Cancer Institute
- BTBrad T. Sherman
National Cancer Institute, Science Applications International Corporation (United States)
- DADouglas A Hosack
Science Applications International Corporation (United States), National Cancer Institute
- JYJun Yang
National Cancer Institute, Science Applications International Corporation (United States)
- WGWei Gao
Science Applications International Corporation (United States), National Cancer Institute
Topics & keywords
- Annotation
- Visualization
- KEGG
- Computer science
- Ontology
- Biological database
- Microarray databases
- Gene Annotation