Title |
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DAVID gene ID conversion tool
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Authors |
Da Wei Huang1, #, Brad T. Sherman1, #, Robert Stephens2, Michael W. Baseler3, H. Clifford Lane4, Richard A. Lempicki1, *
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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.
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rlempicki@mail.nih.gov; * Corresponding author
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Article Type |
Software
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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.
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Availability | ||
Keywords |
gene; protein; microarray; proteome; database
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Citation |
Huang et al., Bioinformation 2(10): 428-430 (2008)
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Edited by |
P. Kangueane
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ISSN |
0973-2063
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Publisher |
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License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License. |