DAVID: Database for Annotation, Visualization, and Integrated Discovery.
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.
Dennis
Glynn
G
Science Applications International Corporation-Frederick, Clinical Services Program, Laboratory of Immunopathogenesis and Bioinformatics, National Cancer Institute at Frederick, MD 21702, USA. GDennis@niaid.nih.gov
Sherman
Brad T
BT
Hosack
Douglas A
DA
Yang
Jun
J
Gao
Wei
W
Lane
H Clifford
HC
Lempicki
Richard A
RA
D019295:Computational Biology / Q000379:methods; D030561:Databases, Nucleic Acid; D020869:Gene Expression Profiling / Q000706:statistics & numerical data*; D015497:HIV-1 / Q000254:growth & development; D006801:Humans; D020407:Internet; D007963:Leukocytes, Mononuclear / Q000378:metabolism / Q000821:virology; D008264:Macrophages / Q000378:metabolism / Q000821:virology; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods