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Computational approaches to identify functional genetic variants in cancer genomes

Computational approaches to identify functional genetic variants in cancer genomes

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3919555

Publication information

Publisher

New York: Nature Publishing Group US

More information

Scope and Contents

Contents

International Cancer Genome Consortium members review and recommend computational approaches for identifying mutations that drive cancer progression from among the many sequence variants present in tumor genomes.
The International Cancer Genome Consortium (ICGC) aims to catalog genomic abnormalities in tumors from 50 different cancer types. Geno...

Alternative Titles

Full title

Computational approaches to identify functional genetic variants in cancer genomes

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3919555

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3919555

Other Identifiers

ISSN

1548-7091

E-ISSN

1548-7105

DOI

10.1038/nmeth.2562

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