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Title

 

 

 

 

DAVID gene ID conversion tool

 

Authors

Da Wei Huang1, #, Brad T. Sherman1, #, Robert Stephens2, Michael W. Baseler3, H. Clifford Lane4, Richard A. Lempicki1, *

 

Affiliation

1Laboratory of Immunopathogenesis and Bioinformatics; 2Advanced Biomedical Computing Center, SAIC-Frederick, Inc., National Cancer Institute at Frederick, MD 21702; 3Clinical Services Program, SAIC-Frederick, Inc., National Cancer Institute at Frederick, MD 21702; 4Laboratory of Immuno-regulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, 20892; #These authors contributed equally to this study.

 

Email

rlempicki@mail.nih.gov; * Corresponding author

 

Article Type

Software

 

Date

received June 30, 2008; accepted July 05, 2008; published July 30, 2008

Abstract

Our current biological knowledge is spread over many independent bioinformatics databases where many different types of gene and protein identifiers are used. The heterogeneous and redundant nature of these identifiers limits data analysis across different bioinformatics resources. It is an even more serious bottleneck of data analysis for larger datasets, such as gene lists derived from microarray and proteomic experiments. The DAVID Gene ID Conversion Tool (DICT), a web-based application, is able to convert user's input gene or gene product identifiers from one type to another in a more comprehensive and high-throughput manner with a uniquely enhanced ID-ID mapping database.

 

Availability

http://david.abcc.ncifcrf.gov/conversion.jsp

Keywords

gene; protein; microarray; proteome; database

 

Citation

Huang et al., Bioinformation 2(10): 428-430 (2008)

 

Edited by

P. Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

Copyright

Publisher

 

Copyright Transfer Agreement

The authors of published articles in Bioinformation automatically transfer the copyright to the publisher upon formal acceptance. However, the authors reserve right to use the information contained in the article for non commercial purposes.

 

License

This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.