DAVID Bioinformatics 6.8
The Database for Annotation, Visualization and Integrated Discovery
DAVID Bioinformatics Resources 6.8
Laboratory of Human Retrovirology and Immunoinformatics (LHRI)

Fact Sheet

  • Proprietary DAVID Knowledgebase: The high integration level and comprehensive annotation data coverage of the DAVID Knowledgebase, the backend database of DAVID analytic tools, are rarely found in other similar works (which usually only use one or a few public resources). The DAVID knowledgebase agglomerates species-specific gene/protein identifiers and their annotations from a variety of public genomic resources (e.g. NCBI, Uniprot, Ensembl, Gene Ontology, KEGG, Reactome, etc.). The DAVID Knowledgebase contains tens of millions of identifiers from tens of thousands of species allowing agglomeration of a diverse array of functional and sequence annotation, greatly enriching the level of biological information available for a given gene (e.g. gene/protein ids, protein functional domains, gene ontology, pathways, disease associations, general descriptions, protein-protein interactions, literature, small molecule interactions, etc.) and maximizing the analytic potential for all functional annotation algorithms provided by DAVID.
  • Novel Algorithms: Besides gene-annotation enrichment analysis provided by most high throughput functional annotation tools, DAVID also uniquely provides many novel functional annotation tools/algorithms rarely found in other similar works. For example, DAVID Gene Functional Classification Tool can quickly group a large list of genes into functional groups; DAVID Functional Annotation Clustering Tool can condense heterogeneous and redundant annotation terms into groups to make ease of biological interpretation; and more. Thus, investigators are able to explore the biological meaning of interesting gene lists from different angles with DAVID.
  • Pathway Visualization: "A picture is worth a thousand words". The DAVID Pathway Viewer allows users to examine their interesting genes dynamically on well-known pathway diagrams, such as BioCarta and KEGG.
  • Long-term Development & Improvement: DAVID is under continuous development and improvement to primarily support the data analysis needs for various high-throughput HIV studies in the Laboratory of Human Retrovirology and Immunoinformatics (LHRI) and other laboratories in the Applied/Developmental Research Directorate (ADRD) as part of research projects funded by the National Institute of Allergy and Infectious Diseases (NIAID/NIH). During the past 17 years, the database and functionality of DAVID have been continuously expanded, with many new functionalities and data resources being added over the years to improve the functional annotation analysis power. We are currently executing a major upgrade plan and new version of DAVID is planned to be released next year.
  • Experienced Bioinformatics Team: The dedicated DAVID Team consists of experienced bioinformaticians, professional programmers and Ph.D. level biologists, most of whom have more than 5 years of industrial or academic experience in bioinformatics prior to joining the team. The DAVID team also collaborates with other bioinformatics groups to continually improve DAVID.
  • Quick Help Line: Users may ask questions, report bugs and suggest ideas through the DAVID Forum, email, and phone numbers provided on the contact page. The DAVID Team will respond to any of the above communications no later than two business days in order to ensure your questions are answered, as well as to use your feedback for future development.
  • Use of DAVID: Use of all DAVID web-based tools and web services is free to all users. As of October 1, 2013, downloads of both the DAVID Knowledgebase and stand-alone EASE application are free to everyone. Please cite DAVID within any publication that makes use of DAVID's methods. Please refer to the license page for more information.
Last edited on December 14, 2020

 Please cite Nature Protocols 2009; 4(1):44 & Nucleic Acids Res. 2009;37(1):1 within any publication that makes use of any methods inspired by DAVID.
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