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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Main Authors: Shimin Shuai, PCAWG Drivers and Functional Interpretation Working Group, Steven Gallinger, Lincoln Stein, PCAWG Consortium
Format: Article
Language:English
Published: Nature Publishing Group 2020-02-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-019-13929-1
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spelling doaj-142b65513ccf441182a79c2cf78b29df2021-05-11T08:58:08ZengNature Publishing GroupNature Communications2041-17232020-02-0111111210.1038/s41467-019-13929-1Combined burden and functional impact tests for cancer driver discovery using DriverPowerShimin Shuai0PCAWG Drivers and Functional Interpretation Working GroupSteven Gallinger1Lincoln Stein2PCAWG ConsortiumDepartment of Molecular Genetics, University of TorontoDivision of General Surgery, Toronto General HospitalDepartment of Molecular Genetics, University of TorontoAnalysis 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.https://doi.org/10.1038/s41467-019-13929-1
collection DOAJ
language English
format Article
sources DOAJ
author Shimin Shuai
PCAWG Drivers and Functional Interpretation Working Group
Steven Gallinger
Lincoln Stein
PCAWG Consortium
spellingShingle 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
Nature Communications
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 Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2020-02-01
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.
url https://doi.org/10.1038/s41467-019-13929-1
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AT stevengallinger combinedburdenandfunctionalimpacttestsforcancerdriverdiscoveryusingdriverpower
AT lincolnstein combinedburdenandfunctionalimpacttestsforcancerdriverdiscoveryusingdriverpower
AT pcawgconsortium combinedburdenandfunctionalimpacttestsforcancerdriverdiscoveryusingdriverpower
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