Combined burden and functional impact tests for cancer driver discovery using DriverPower

Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer who...

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Autores principales:	Shimin Shuai, PCAWG Drivers and Functional Interpretation Working Group, Steven Gallinger, Lincoln Stein, PCAWG Consortium
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/142b65513ccf441182a79c2cf78b29df
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spelling	oai:doaj.org-article:142b65513ccf441182a79c2cf78b29df2021-12-02T17:32:59ZCombined burden and functional impact tests for cancer driver discovery using DriverPower10.1038/s41467-019-13929-12041-1723https://doaj.org/article/142b65513ccf441182a79c2cf78b29df2020-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13929-1https://doaj.org/toc/2041-1723Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer whole genomes via consideration of mutational burden and functional impact evidence.Shimin ShuaiPCAWG Drivers and Functional Interpretation Working GroupSteven GallingerLincoln SteinPCAWG ConsortiumNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Shimin Shuai PCAWG Drivers and Functional Interpretation Working Group Steven Gallinger Lincoln Stein PCAWG Consortium Combined burden and functional impact tests for cancer driver discovery using DriverPower
description	Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer whole genomes via consideration of mutational burden and functional impact evidence.
format	article
author	Shimin Shuai PCAWG Drivers and Functional Interpretation Working Group Steven Gallinger Lincoln Stein PCAWG Consortium
author_facet	Shimin Shuai PCAWG Drivers and Functional Interpretation Working Group Steven Gallinger Lincoln Stein PCAWG Consortium
author_sort	Shimin Shuai
title	Combined burden and functional impact tests for cancer driver discovery using DriverPower
title_short	Combined burden and functional impact tests for cancer driver discovery using DriverPower
title_full	Combined burden and functional impact tests for cancer driver discovery using DriverPower
title_fullStr	Combined burden and functional impact tests for cancer driver discovery using DriverPower
title_full_unstemmed	Combined burden and functional impact tests for cancer driver discovery using DriverPower
title_sort	combined burden and functional impact tests for cancer driver discovery using driverpower
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/142b65513ccf441182a79c2cf78b29df
work_keys_str_mv	AT shiminshuai combinedburdenandfunctionalimpacttestsforcancerdriverdiscoveryusingdriverpower AT pcawgdriversandfunctionalinterpretationworkinggroup combinedburdenandfunctionalimpacttestsforcancerdriverdiscoveryusingdriverpower AT stevengallinger combinedburdenandfunctionalimpacttestsforcancerdriverdiscoveryusingdriverpower AT lincolnstein combinedburdenandfunctionalimpacttestsforcancerdriverdiscoveryusingdriverpower AT pcawgconsortium combinedburdenandfunctionalimpacttestsforcancerdriverdiscoveryusingdriverpower
_version_	1718380104915091456

Combined burden and functional impact tests for cancer driver discovery using DriverPower

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