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Related Experiment Videos

DAVID: Database for Annotation, Visualization, and Integrated Discovery.

Glynn Dennis1, Brad T Sherman, Douglas A Hosack

  • 1Science Applications International Corporation-Frederick, Clinical Services Program, Laboratory of Immunopathogenesis and Bioinformatics, National Cancer Institute at Frederick, MD 21702, USA. GDennis@niaid.nih.gov

Genome Biology
|May 8, 2003
PubMed
Summary
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The Database for Annotation, Visualization, and Integrated Discovery (DAVID) tool streamlines gene function analysis from microarray data. It integrates multiple databases, providing graphical summaries to accelerate biological interpretation.

Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Functional annotation of differentially expressed genes is crucial for microarray data analysis.
  • Current methods often involve time-consuming, manual data retrieval from multiple databases.
  • A centralized, query-based system is needed for efficient biological information dissemination.

Purpose of the Study:

  • To present the Database for Annotation, Visualization, and Integrated Discovery (DAVID) as an integrated solution for gene function analysis.
  • To provide researchers with a tool that consolidates biological knowledge and facilitates data interpretation.
  • To accelerate the transition from raw genomic data to biological meaning.

Main Methods:

  • DAVID offers four web-based modules: Annotation Tool, GoCharts, KeggCharts, and DomainCharts.

Related Experiment Videos

  • Annotation Tool appends descriptive data from public databases to gene lists.
  • GoCharts, KeggCharts, and DomainCharts categorize genes by Gene Ontology, KEGG pathways, and PFAM domains, respectively.

    • Main Results:

    • DAVID provides rapid annotation and functional categorization of gene lists.
    • GoCharts enables classification into Gene Ontology categories with adjustable specificity.
    • KeggCharts visualizes genes within KEGG metabolic pathways, and DomainCharts groups genes by PFAM domains.

    Conclusions:

    • DAVID dynamically links analysis results and graphical displays to primary and external data.
    • The integrated functionality of DAVID significantly accelerates the analysis of large-scale genomic datasets.
    • DAVID facilitates a more efficient transition from data collection to biological insight.