COSMIC: the Catalogue Of Somatic Mutations In Cancer
Abstract COSMIC, the Catalogue Of Somatic Mutations In Cancer (https://cancer.sanger.ac.uk) is the most detailed and comprehensive resource for exploring the effect of somatic mutations in human cancer. The latest release, COSMIC v86 (August 2018), includes almost 6 million coding mutations across 1...
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creator | Tate, John G Bamford, Sally Jubb, Harry C Sondka, Zbyslaw Beare, David M Bindal, Nidhi Boutselakis, Harry Cole, Charlotte G Creatore, Celestino Dawson, Elisabeth Fish, Peter Harsha, Bhavana Hathaway, Charlie Jupe, Steve C Kok, Chai Yin Noble, Kate Ponting, Laura Ramshaw, Christopher C Rye, Claire E Speedy, Helen E Stefancsik, Ray Thompson, Sam L Wang, Shicai Ward, Sari Campbell, Peter J Forbes, Simon A |
description | Abstract
COSMIC, the Catalogue Of Somatic Mutations In Cancer (https://cancer.sanger.ac.uk) is the most detailed and comprehensive resource for exploring the effect of somatic mutations in human cancer. The latest release, COSMIC v86 (August 2018), includes almost 6 million coding mutations across 1.4 million tumour samples, curated from over 26 000 publications. In addition to coding mutations, COSMIC covers all the genetic mechanisms by which somatic mutations promote cancer, including non-coding mutations, gene fusions, copy-number variants and drug-resistance mutations. COSMIC is primarily hand-curated, ensuring quality, accuracy and descriptive data capture. Building on our manual curation processes, we are introducing new initiatives that allow us to prioritize key genes and diseases, and to react more quickly and comprehensively to new findings in the literature. Alongside improvements to the public website and data-download systems, new functionality in COSMIC-3D allows exploration of mutations within three-dimensional protein structures, their protein structural and functional impacts, and implications for druggability. In parallel with COSMIC’s deep and broad variant coverage, the Cancer Gene Census (CGC) describes a curated catalogue of genes driving every form of human cancer. Currently describing 719 genes, the CGC has recently introduced functional descriptions of how each gene drives disease, summarized into the 10 cancer Hallmarks. |
doi_str_mv | 10.1093/nar/gky1015 |
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COSMIC, the Catalogue Of Somatic Mutations In Cancer (https://cancer.sanger.ac.uk) is the most detailed and comprehensive resource for exploring the effect of somatic mutations in human cancer. The latest release, COSMIC v86 (August 2018), includes almost 6 million coding mutations across 1.4 million tumour samples, curated from over 26 000 publications. In addition to coding mutations, COSMIC covers all the genetic mechanisms by which somatic mutations promote cancer, including non-coding mutations, gene fusions, copy-number variants and drug-resistance mutations. COSMIC is primarily hand-curated, ensuring quality, accuracy and descriptive data capture. Building on our manual curation processes, we are introducing new initiatives that allow us to prioritize key genes and diseases, and to react more quickly and comprehensively to new findings in the literature. Alongside improvements to the public website and data-download systems, new functionality in COSMIC-3D allows exploration of mutations within three-dimensional protein structures, their protein structural and functional impacts, and implications for druggability. In parallel with COSMIC’s deep and broad variant coverage, the Cancer Gene Census (CGC) describes a curated catalogue of genes driving every form of human cancer. Currently describing 719 genes, the CGC has recently introduced functional descriptions of how each gene drives disease, summarized into the 10 cancer Hallmarks.</description><identifier>ISSN: 0305-1048</identifier><identifier>EISSN: 1362-4962</identifier><identifier>DOI: 10.1093/nar/gky1015</identifier><identifier>PMID: 30371878</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Database Issue ; Databases, Nucleic Acid ; Genes ; Humans ; Mutation ; Neoplasms - genetics ; Protein Conformation</subject><ispartof>Nucleic acids research, 2019-01, Vol.47 (D1), p.D941-D947</ispartof><rights>The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c454t-edb4e4889ceb96dfea3acb85cc8b1606efe41961bc784f655220e6d4a1221cca3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323903/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323903/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,1598,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30371878$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tate, John G</creatorcontrib><creatorcontrib>Bamford, Sally</creatorcontrib><creatorcontrib>Jubb, Harry C</creatorcontrib><creatorcontrib>Sondka, Zbyslaw</creatorcontrib><creatorcontrib>Beare, David M</creatorcontrib><creatorcontrib>Bindal, Nidhi</creatorcontrib><creatorcontrib>Boutselakis, Harry</creatorcontrib><creatorcontrib>Cole, Charlotte G</creatorcontrib><creatorcontrib>Creatore, Celestino</creatorcontrib><creatorcontrib>Dawson, Elisabeth</creatorcontrib><creatorcontrib>Fish, Peter</creatorcontrib><creatorcontrib>Harsha, Bhavana</creatorcontrib><creatorcontrib>Hathaway, Charlie</creatorcontrib><creatorcontrib>Jupe, Steve C</creatorcontrib><creatorcontrib>Kok, Chai Yin</creatorcontrib><creatorcontrib>Noble, Kate</creatorcontrib><creatorcontrib>Ponting, Laura</creatorcontrib><creatorcontrib>Ramshaw, Christopher C</creatorcontrib><creatorcontrib>Rye, Claire E</creatorcontrib><creatorcontrib>Speedy, Helen E</creatorcontrib><creatorcontrib>Stefancsik, Ray</creatorcontrib><creatorcontrib>Thompson, Sam L</creatorcontrib><creatorcontrib>Wang, Shicai</creatorcontrib><creatorcontrib>Ward, Sari</creatorcontrib><creatorcontrib>Campbell, Peter J</creatorcontrib><creatorcontrib>Forbes, Simon A</creatorcontrib><title>COSMIC: the Catalogue Of Somatic Mutations In Cancer</title><title>Nucleic acids research</title><addtitle>Nucleic Acids Res</addtitle><description>Abstract
COSMIC, the Catalogue Of Somatic Mutations In Cancer (https://cancer.sanger.ac.uk) is the most detailed and comprehensive resource for exploring the effect of somatic mutations in human cancer. The latest release, COSMIC v86 (August 2018), includes almost 6 million coding mutations across 1.4 million tumour samples, curated from over 26 000 publications. In addition to coding mutations, COSMIC covers all the genetic mechanisms by which somatic mutations promote cancer, including non-coding mutations, gene fusions, copy-number variants and drug-resistance mutations. COSMIC is primarily hand-curated, ensuring quality, accuracy and descriptive data capture. Building on our manual curation processes, we are introducing new initiatives that allow us to prioritize key genes and diseases, and to react more quickly and comprehensively to new findings in the literature. Alongside improvements to the public website and data-download systems, new functionality in COSMIC-3D allows exploration of mutations within three-dimensional protein structures, their protein structural and functional impacts, and implications for druggability. In parallel with COSMIC’s deep and broad variant coverage, the Cancer Gene Census (CGC) describes a curated catalogue of genes driving every form of human cancer. Currently describing 719 genes, the CGC has recently introduced functional descriptions of how each gene drives disease, summarized into the 10 cancer Hallmarks.</description><subject>Database Issue</subject><subject>Databases, Nucleic Acid</subject><subject>Genes</subject><subject>Humans</subject><subject>Mutation</subject><subject>Neoplasms - genetics</subject><subject>Protein Conformation</subject><issn>0305-1048</issn><issn>1362-4962</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><sourceid>EIF</sourceid><recordid>eNp9kE1Lw0AQQBdRbK2evEtOIkjsfmWz8SBI8KPQ0kP1vGw2kzaaZOtuIvTfG2ktevE0h3m8GR5C5wTfEJywcaPdePm-IZhEB2hImKAhTwQ9REPMcBQSzOUAnXj_hjHhJOLHaMAwi4mM5RDxdL6YTdLboF1BkOpWV3bZQTAvgoWtdVuaYNa1_bSNDyZNTzQG3Ck6KnTl4Ww3R-j18eElfQ6n86dJej8NDY94G0KeceBSJgayROQFaKZNJiNjZEYEFlAAJ4kgmYklL0QUUYpB5FwTSokxmo3Q3da77rIacgNN63Sl1q6stdsoq0v1d9OUK7W0n0owyhLMesHVTuDsRwe-VXXpDVSVbsB2XlFCRYJxLESPXm9R46z3Dor9GYLVd2fVd1a7zj198fuzPfsTtgcut4Dt1v-avgD1yYZn</recordid><startdate>20190108</startdate><enddate>20190108</enddate><creator>Tate, John G</creator><creator>Bamford, Sally</creator><creator>Jubb, Harry C</creator><creator>Sondka, Zbyslaw</creator><creator>Beare, David M</creator><creator>Bindal, Nidhi</creator><creator>Boutselakis, Harry</creator><creator>Cole, Charlotte G</creator><creator>Creatore, Celestino</creator><creator>Dawson, Elisabeth</creator><creator>Fish, Peter</creator><creator>Harsha, Bhavana</creator><creator>Hathaway, Charlie</creator><creator>Jupe, Steve C</creator><creator>Kok, Chai Yin</creator><creator>Noble, Kate</creator><creator>Ponting, Laura</creator><creator>Ramshaw, Christopher C</creator><creator>Rye, Claire E</creator><creator>Speedy, Helen E</creator><creator>Stefancsik, Ray</creator><creator>Thompson, Sam L</creator><creator>Wang, Shicai</creator><creator>Ward, Sari</creator><creator>Campbell, Peter J</creator><creator>Forbes, Simon A</creator><general>Oxford University Press</general><scope>TOX</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20190108</creationdate><title>COSMIC: the Catalogue Of Somatic Mutations In Cancer</title><author>Tate, John G ; 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COSMIC, the Catalogue Of Somatic Mutations In Cancer (https://cancer.sanger.ac.uk) is the most detailed and comprehensive resource for exploring the effect of somatic mutations in human cancer. The latest release, COSMIC v86 (August 2018), includes almost 6 million coding mutations across 1.4 million tumour samples, curated from over 26 000 publications. In addition to coding mutations, COSMIC covers all the genetic mechanisms by which somatic mutations promote cancer, including non-coding mutations, gene fusions, copy-number variants and drug-resistance mutations. COSMIC is primarily hand-curated, ensuring quality, accuracy and descriptive data capture. Building on our manual curation processes, we are introducing new initiatives that allow us to prioritize key genes and diseases, and to react more quickly and comprehensively to new findings in the literature. Alongside improvements to the public website and data-download systems, new functionality in COSMIC-3D allows exploration of mutations within three-dimensional protein structures, their protein structural and functional impacts, and implications for druggability. In parallel with COSMIC’s deep and broad variant coverage, the Cancer Gene Census (CGC) describes a curated catalogue of genes driving every form of human cancer. Currently describing 719 genes, the CGC has recently introduced functional descriptions of how each gene drives disease, summarized into the 10 cancer Hallmarks.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>30371878</pmid><doi>10.1093/nar/gky1015</doi><oa>free_for_read</oa></addata></record> |
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subjects | Database Issue Databases, Nucleic Acid Genes Humans Mutation Neoplasms - genetics Protein Conformation |
title | COSMIC: the Catalogue Of Somatic Mutations In Cancer |
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