Your browser doesn't support javascript.
loading
COSMIC (the Catalogue of Somatic Mutations in Cancer): a resource to investigate acquired mutations in human cancer.
Forbes, Simon A; Tang, Gurpreet; Bindal, Nidhi; Bamford, Sally; Dawson, Elisabeth; Cole, Charlotte; Kok, Chai Yin; Jia, Mingming; Ewing, Rebecca; Menzies, Andrew; Teague, Jon W; Stratton, Michael R; Futreal, P Andrew.
Afiliação
  • Forbes SA; Cancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK.
Nucleic Acids Res ; 38(Database issue): D652-7, 2010 Jan.
Article em En | MEDLINE | ID: mdl-19906727
ABSTRACT
The catalogue of Somatic Mutations in Cancer (COSMIC) (http//www.sanger.ac.uk/cosmic/) is the largest public resource for information on somatically acquired mutations in human cancer and is available freely without restrictions. Currently (v43, August 2009), COSMIC contains details of 1.5-million experiments performed through 13,423 genes in almost 370,000 tumours, describing over 90,000 individual mutations. Data are gathered from two sources, publications in the scientific literature, (v43 contains 7797 curated articles) and the full output of the genome-wide screens from the Cancer Genome Project (CGP) at the Sanger Institute, UK. Most of the world's literature on point mutations in human cancer has now been curated into COSMIC and while this is continually updated, a greater emphasis on curating fusion gene mutations is driving the expansion of this information; over 2700 fusion gene mutations are now described. Whole-genome sequencing screens are now identifying large numbers of genomic rearrangements in cancer and COSMIC is now displaying details of these analyses also. Examination of COSMIC's data is primarily web-driven, focused on providing mutation range and frequency statistics based upon a choice of gene and/or cancer phenotype. Graphical views provide easily interpretable summaries of large quantities of data, and export functions can provide precise details of user-selected data.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Bases de Dados Genéticas / Bases de Dados de Ácidos Nucleicos / Mutação / Neoplasias Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2010 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional / Bases de Dados Genéticas / Bases de Dados de Ácidos Nucleicos / Mutação / Neoplasias Limite: Humans Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2010 Tipo de documento: Article País de afiliação: Reino Unido