Agreement between two large pan-cancer CRISPR-Cas9 gene dependency data sets

Integrating independent large-scale pharmacogenomic screens can enable unprecedented characterization of genetic vulnerabilities in cancers. Here, the authors show that the two largest independent CRISPR-Cas9 gene-dependency screens are concordant, paving the way for joint analysis of the data sets.

Bibliographic Details
Main Authors:	Joshua M. Dempster, Clare Pacini, Sasha Pantel, Fiona M. Behan, Thomas Green, John Krill-Burger, Charlotte M. Beaver, Scott T. Younger, Victor Zhivich, Hanna Najgebauer, Felicity Allen, Emanuel Gonçalves, Rebecca Shepherd, John G. Doench, Kosuke Yusa, Francisca Vazquez, Leopold Parts, Jesse S. Boehm, Todd R. Golub, William C. Hahn, David E. Root, Mathew J. Garnett, Aviad Tsherniak, Francesco Iorio
Format:	Article
Language:	English
Published:	Nature Publishing Group 2019-12-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-019-13805-y

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spelling	doaj-7101cce4933e4a7a88c0656de01f28e52021-05-11T11:31:57ZengNature Publishing GroupNature Communications2041-17232019-12-0110111410.1038/s41467-019-13805-yAgreement between two large pan-cancer CRISPR-Cas9 gene dependency data setsJoshua M. Dempster0Clare Pacini1Sasha Pantel2Fiona M. Behan3Thomas Green4John Krill-Burger5Charlotte M. Beaver6Scott T. Younger7Victor Zhivich8Hanna Najgebauer9Felicity Allen10Emanuel Gonçalves11Rebecca Shepherd12John G. Doench13Kosuke Yusa14Francisca Vazquez15Leopold Parts16Jesse S. Boehm17Todd R. Golub18William C. Hahn19David E. Root20Mathew J. Garnett21Aviad Tsherniak22Francesco Iorio23Broad Institute of MIT and HarvardWellcome Sanger Institute, Wellcome Genome Campus, HinxtonBroad Institute of MIT and HarvardWellcome Sanger Institute, Wellcome Genome Campus, HinxtonBroad Institute of MIT and HarvardBroad Institute of MIT and HarvardWellcome Sanger Institute, Wellcome Genome Campus, HinxtonBroad Institute of MIT and HarvardBroad Institute of MIT and HarvardWellcome Sanger Institute, Wellcome Genome Campus, HinxtonWellcome Sanger Institute, Wellcome Genome Campus, HinxtonWellcome Sanger Institute, Wellcome Genome Campus, HinxtonWellcome Sanger Institute, Wellcome Genome Campus, HinxtonBroad Institute of MIT and HarvardWellcome Sanger Institute, Wellcome Genome Campus, HinxtonBroad Institute of MIT and HarvardWellcome Sanger Institute, Wellcome Genome Campus, HinxtonBroad Institute of MIT and HarvardBroad Institute of MIT and HarvardBroad Institute of MIT and HarvardBroad Institute of MIT and HarvardWellcome Sanger Institute, Wellcome Genome Campus, HinxtonBroad Institute of MIT and HarvardWellcome Sanger Institute, Wellcome Genome Campus, HinxtonIntegrating independent large-scale pharmacogenomic screens can enable unprecedented characterization of genetic vulnerabilities in cancers. Here, the authors show that the two largest independent CRISPR-Cas9 gene-dependency screens are concordant, paving the way for joint analysis of the data sets.https://doi.org/10.1038/s41467-019-13805-y
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Joshua M. Dempster Clare Pacini Sasha Pantel Fiona M. Behan Thomas Green John Krill-Burger Charlotte M. Beaver Scott T. Younger Victor Zhivich Hanna Najgebauer Felicity Allen Emanuel Gonçalves Rebecca Shepherd John G. Doench Kosuke Yusa Francisca Vazquez Leopold Parts Jesse S. Boehm Todd R. Golub William C. Hahn David E. Root Mathew J. Garnett Aviad Tsherniak Francesco Iorio
spellingShingle	Joshua M. Dempster Clare Pacini Sasha Pantel Fiona M. Behan Thomas Green John Krill-Burger Charlotte M. Beaver Scott T. Younger Victor Zhivich Hanna Najgebauer Felicity Allen Emanuel Gonçalves Rebecca Shepherd John G. Doench Kosuke Yusa Francisca Vazquez Leopold Parts Jesse S. Boehm Todd R. Golub William C. Hahn David E. Root Mathew J. Garnett Aviad Tsherniak Francesco Iorio Agreement between two large pan-cancer CRISPR-Cas9 gene dependency data sets Nature Communications
author_facet	Joshua M. Dempster Clare Pacini Sasha Pantel Fiona M. Behan Thomas Green John Krill-Burger Charlotte M. Beaver Scott T. Younger Victor Zhivich Hanna Najgebauer Felicity Allen Emanuel Gonçalves Rebecca Shepherd John G. Doench Kosuke Yusa Francisca Vazquez Leopold Parts Jesse S. Boehm Todd R. Golub William C. Hahn David E. Root Mathew J. Garnett Aviad Tsherniak Francesco Iorio
author_sort	Joshua M. Dempster
title	Agreement between two large pan-cancer CRISPR-Cas9 gene dependency data sets
title_short	Agreement between two large pan-cancer CRISPR-Cas9 gene dependency data sets
title_full	Agreement between two large pan-cancer CRISPR-Cas9 gene dependency data sets
title_fullStr	Agreement between two large pan-cancer CRISPR-Cas9 gene dependency data sets
title_full_unstemmed	Agreement between two large pan-cancer CRISPR-Cas9 gene dependency data sets
title_sort	agreement between two large pan-cancer crispr-cas9 gene dependency data sets
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2019-12-01
description	Integrating independent large-scale pharmacogenomic screens can enable unprecedented characterization of genetic vulnerabilities in cancers. Here, the authors show that the two largest independent CRISPR-Cas9 gene-dependency screens are concordant, paving the way for joint analysis of the data sets.
url	https://doi.org/10.1038/s41467-019-13805-y
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Agreement between two large pan-cancer CRISPR-Cas9 gene dependency data sets

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