Nucleic Acids Research Advance Access originally published online on November 6, 2006
Nucleic Acids Research 2007 35(Database issue):D721-D726; doi:10.1093/nar/gkl811
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Nucleic Acids Research, 2007, Vol. 35, Database issue D721-D726
© 2006 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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CancerGenes: a gene selection resource for cancer genome projects
Computational Biology Center Memorial Sloan-Kettering Cancer Center 1275 York Avenue, No. 460 New York, NY 10021, USA
*To whom correspondence should be addressed. Tel:+1 646 735 8087; Fax:+1 646 735 0021; Email: lash{at}cbio.mskcc.org
Received August 10, 2006. Revised October 2, 2006. Accepted October 3, 2006.
The genome sequence framework provided by the human genome project allows us to precisely map human genetic variations in order to study their association with disease and their direct effects on gene function. Since the description of tumor suppressor genes and oncogenes several decades ago, both germ-line variations and somatic mutations have been established to be important in cancer—in terms of risk, oncogenesis, prognosis and response to therapy. The Cancer Genome Atlas initiative proposed by the NIH is poised to elucidate the contribution of somatic mutations to cancer development and progression through the re-sequencing of a substantial fraction of the total collection of human genes—in hundreds of individual tumors and spanning several tumor types. We have developed the CancerGenes resource to simplify the process of gene selection and prioritization in large collaborative projects. CancerGenes combines gene lists annotated by experts with information from key public databases. Each gene is annotated with gene name(s), functional description, organism, chromosome number, location, Entrez Gene ID, GO terms, InterPro descriptions, gene structure, protein length, transcript count, and experimentally determined transcript control regions, as well as links to Entrez Gene, COSMIC, and iHOP gene pages and the UCSC and Ensembl genome browsers. The user-friendly interface provides for searching, sorting and intersection of gene lists. Users may view tabulated results through a web browser or may dynamically download them as a spreadsheet table. CancerGenes is available at http://cbio.mskcc.org/cancergenes.
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