DAVID Bioinformatics
The Database for Annotation, Visualization and Integrated Discovery
DAVID Bioinformatics Resources 2008
National Institute of Allergy and Infectious Diseases (NIAID), NIH
fact
Fact Sheet

To be the best in the field of high-throughput functional annotation bioinformatics

  • Proved Science & History: As one of the pioneer works in the field of  high-throughput functional annotation bioinformatics, DAVID/EASE tools were released in 2003. Since then, series of novel bioinformatics algorithms provided by DAVID/EASE have been continually developed and reported in peer-reviewed papers. DAVID/EASE methods have been largely accepted by the genomic community, which is clearly evidenced by that ~1,600 scientific publications in total have made use of and referenced DAVID/EASE Bioinformatics during past 5 years. According to DAVID web server log, the user volume of DAVID server is consistently in higher level every day (i.e. ~60,000 hits from ~300 unique researchers per day; totally hundreds of millions of hits from tens of thousands of visits during past 5 years).
  • Novel Algorithms: Besides typical gene-annotation enrichement analysis provided by most of high throughput functional annotation tools, the DAVID Bioinformatics also uniquely provide many novel functional annotation tools/algorithms rarely found in other similar works, for example, DAVID Gene Functional Classification Tool can quickly group large gene list into functional groups; DAVID Functional Annotation Clustering Tool can condense heterogeneous and redundant annotation terms into group 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.
  • Cutting-edge Visualization: "One picture is worth a thousand words".  The DAVID Pathway Viewer, a smart presentation technqiue of  'dynamic-gene-on-static-picture",  allows users to exam the interesting genes dynamically on well known human-drawn pathway pictures, such as: BioCarta Pathways, KEGG Pathways, Panther Pathways, etc.
  • Long-term Continuous Development & Improvement: The DAVID Bioinformatics are owned by NIH, U. S. Goverment. It is NOT an "one-time deal" project and left there forever. It is under continuous development and improvement to primarily support the data analysis needs for various HIV genomic microarray studies in LIB as part of "multi-million-dollar" worth HIV research projects funded by the National Institute of Allergy and Infectious Diseases (NIAID/NIH). Therefore, we care the quality and the comprehensiveness of the DAVID Bioinformatics Resources as much as you do. During past 4 years, the database and functionalities of DAVID Bioinformatics have been continuously expanded with 4 versions, i.e. from version 1.0, 2.0, 2.1, 2006 to current version 2007. As committed, many new functionalities and data are being added every year to improve the functional annotation power.
  • World Top-Level Bioinformatics Development Team: The dedicated DAVID Team consists of real-life-experienced bioinformaticians, professional programmers, and Ph.D level biologists, and most of whom have more than 5-year industiral and academic experiences in bioinformatics domains prior to joining the team. The DAVID team also collabrates with world top-level bioinformatics groups. This is the foundation that DAVID Bioinformatics aim at world-class quality.
  • Quick Help Line: Users can ask questions, report bugs, suggest ideas through DAVID Forum, Hot Email, and Telephones provided on the contact page of DAVID Web Site. The DAVID Team promises to reponse any above communications no late than one business day in order to ensure your project moving on, as well as to learn something from your questions.
  • FREE, the Best Thing in the World: If you are academic users, everything on DAVID Bioinformatics web site are FREE to use and to download. If you are commerical users, all functionalities on DAVID web site are also Free to use,  except downloading entire EASE application & entire DAVID Knowledgebase.  Please refer to license page for the official terms.

Last edited on Mar. 2007




 Please cite the web site or Genome Biology 2003; 4(5):P3 within any publication that makes use of any methods inspired by DAVID.
                          

        

                 
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