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COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer
COSMIC (http://www.sanger.ac.uk/cosmic) curates comprehensive information on somatic mutations in human cancer. Release v48 (July 2010) describes over 136 000 coding mutations in almost 542 000 tumour samples; of the 18 490 genes documented, 4803 (26%) have one or more mutations. Full scientific lit...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013785/ https://www.ncbi.nlm.nih.gov/pubmed/20952405 http://dx.doi.org/10.1093/nar/gkq929 |
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author | Forbes, Simon A. Bindal, Nidhi Bamford, Sally Cole, Charlotte Kok, Chai Yin Beare, David Jia, Mingming Shepherd, Rebecca Leung, Kenric Menzies, Andrew Teague, Jon W. Campbell, Peter J. Stratton, Michael R. Futreal, P. Andrew |
author_facet | Forbes, Simon A. Bindal, Nidhi Bamford, Sally Cole, Charlotte Kok, Chai Yin Beare, David Jia, Mingming Shepherd, Rebecca Leung, Kenric Menzies, Andrew Teague, Jon W. Campbell, Peter J. Stratton, Michael R. Futreal, P. Andrew |
author_sort | Forbes, Simon A. |
collection | PubMed |
description | COSMIC (http://www.sanger.ac.uk/cosmic) curates comprehensive information on somatic mutations in human cancer. Release v48 (July 2010) describes over 136 000 coding mutations in almost 542 000 tumour samples; of the 18 490 genes documented, 4803 (26%) have one or more mutations. Full scientific literature curations are available on 83 major cancer genes and 49 fusion gene pairs (19 new cancer genes and 30 new fusion pairs this year) and this number is continually increasing. Key amongst these is TP53, now available through a collaboration with the IARC p53 database. In addition to data from the Cancer Genome Project (CGP) at the Sanger Institute, UK, and The Cancer Genome Atlas project (TCGA), large systematic screens are also now curated. Major website upgrades now make these data much more mineable, with many new selection filters and graphics. A Biomart is now available allowing more automated data mining and integration with other biological databases. Annotation of genomic features has become a significant focus; COSMIC has begun curating full-genome resequencing experiments, developing new web pages, export formats and graphics styles. With all genomic information recently updated to GRCh37, COSMIC integrates many diverse types of mutation information and is making much closer links with Ensembl and other data resources. |
format | Text |
id | pubmed-3013785 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-30137852011-01-03 COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer Forbes, Simon A. Bindal, Nidhi Bamford, Sally Cole, Charlotte Kok, Chai Yin Beare, David Jia, Mingming Shepherd, Rebecca Leung, Kenric Menzies, Andrew Teague, Jon W. Campbell, Peter J. Stratton, Michael R. Futreal, P. Andrew Nucleic Acids Res Articles COSMIC (http://www.sanger.ac.uk/cosmic) curates comprehensive information on somatic mutations in human cancer. Release v48 (July 2010) describes over 136 000 coding mutations in almost 542 000 tumour samples; of the 18 490 genes documented, 4803 (26%) have one or more mutations. Full scientific literature curations are available on 83 major cancer genes and 49 fusion gene pairs (19 new cancer genes and 30 new fusion pairs this year) and this number is continually increasing. Key amongst these is TP53, now available through a collaboration with the IARC p53 database. In addition to data from the Cancer Genome Project (CGP) at the Sanger Institute, UK, and The Cancer Genome Atlas project (TCGA), large systematic screens are also now curated. Major website upgrades now make these data much more mineable, with many new selection filters and graphics. A Biomart is now available allowing more automated data mining and integration with other biological databases. Annotation of genomic features has become a significant focus; COSMIC has begun curating full-genome resequencing experiments, developing new web pages, export formats and graphics styles. With all genomic information recently updated to GRCh37, COSMIC integrates many diverse types of mutation information and is making much closer links with Ensembl and other data resources. Oxford University Press 2011-01 2010-10-15 /pmc/articles/PMC3013785/ /pubmed/20952405 http://dx.doi.org/10.1093/nar/gkq929 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Forbes, Simon A. Bindal, Nidhi Bamford, Sally Cole, Charlotte Kok, Chai Yin Beare, David Jia, Mingming Shepherd, Rebecca Leung, Kenric Menzies, Andrew Teague, Jon W. Campbell, Peter J. Stratton, Michael R. Futreal, P. Andrew COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer |
title | COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer |
title_full | COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer |
title_fullStr | COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer |
title_full_unstemmed | COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer |
title_short | COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer |
title_sort | cosmic: mining complete cancer genomes in the catalogue of somatic mutations in cancer |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013785/ https://www.ncbi.nlm.nih.gov/pubmed/20952405 http://dx.doi.org/10.1093/nar/gkq929 |
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