DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shuai, SM | ko |
dc.contributor.author | Stein, L | ko |
dc.contributor.author | Choi, Jung Kyoon | ko |
dc.date.accessioned | 2021-03-08T04:30:07Z | - |
dc.date.available | 2021-03-08T04:30:07Z | - |
dc.date.created | 2021-03-08 | - |
dc.date.created | 2021-03-08 | - |
dc.date.created | 2021-03-08 | - |
dc.date.created | 2021-03-08 | - |
dc.date.issued | 2020-02 | - |
dc.identifier.citation | NATURE COMMUNICATIONS, v.11, no.1 | - |
dc.identifier.issn | 2041-1723 | - |
dc.identifier.uri | http://hdl.handle.net/10203/281335 | - |
dc.description.abstract | The discovery of driver mutations is one of the key motivations for cancer genome sequencing. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumour types, we describe DriverPower, a software package that uses mutational burden and functional impact evidence to identify driver mutations in coding and non-coding sites within cancer whole genomes. Using a total of 1373 genomic features derived from public sources, DriverPower's background mutation model explains up to 93% of the regional variance in the mutation rate across multiple tumour types. By incorporating functional impact scores, we are able to further increase the accuracy of driver discovery. Testing across a collection of 2583 cancer genomes from the PCAWG project, DriverPower identifies 217 coding and 95 non-coding driver candidates. Comparing to six published methods used by the PCAWG Drivers and Functional Interpretation Working Group, DriverPower has the highest F1 score for both coding and non-coding driver discovery. This demonstrates that DriverPower is an effective framework for computational driver discovery. | - |
dc.language | English | - |
dc.publisher | NATURE PUBLISHING GROUP | - |
dc.title | Combined burden and functional impact tests for cancer driver discovery using DriverPower | - |
dc.type | Article | - |
dc.identifier.wosid | 000513499700016 | - |
dc.identifier.scopusid | 2-s2.0-85079072523 | - |
dc.type.rims | ART | - |
dc.citation.volume | 11 | - |
dc.citation.issue | 1 | - |
dc.citation.publicationname | NATURE COMMUNICATIONS | - |
dc.identifier.doi | 10.1038/s41467-019-13929-1 | - |
dc.contributor.localauthor | Choi, Jung Kyoon | - |
dc.contributor.nonIdAuthor | Shuai, SM | - |
dc.contributor.nonIdAuthor | Stein, L | - |
dc.description.isOpenAccess | Y | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordPlus | CHROMATIN ORGANIZATION | - |
dc.subject.keywordPlus | SOMATIC MUTATION | - |
dc.subject.keywordPlus | RECURRENT | - |
dc.subject.keywordPlus | EXPRESSION | - |
dc.subject.keywordPlus | VARIANTS | - |
dc.subject.keywordPlus | BINDING | - |
dc.subject.keywordPlus | MOF | - |
dc.subject.keywordPlus | HETEROGENEITY | - |
dc.subject.keywordPlus | PATHOGENICITY | - |
dc.subject.keywordPlus | ACETYLATION | - |
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