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.

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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/7101cce4933e4a7a88c0656de01f28e5
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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spelling	oai:doaj.org-article:7101cce4933e4a7a88c0656de01f28e52021-12-02T14:38:39ZAgreement between two large pan-cancer CRISPR-Cas9 gene dependency data sets10.1038/s41467-019-13805-y2041-1723https://doaj.org/article/7101cce4933e4a7a88c0656de01f28e52019-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13805-yhttps://doaj.org/toc/2041-1723Integrating 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.Joshua M. DempsterClare PaciniSasha PantelFiona M. BehanThomas GreenJohn Krill-BurgerCharlotte M. BeaverScott T. YoungerVictor ZhivichHanna NajgebauerFelicity AllenEmanuel GonçalvesRebecca ShepherdJohn G. DoenchKosuke YusaFrancisca VazquezLeopold PartsJesse S. BoehmTodd R. GolubWilliam C. HahnDavid E. RootMathew J. GarnettAviad TsherniakFrancesco IorioNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-14 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q 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
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.
format	article
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
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 Portfolio
publishDate	2019
url	https://doaj.org/article/7101cce4933e4a7a88c0656de01f28e5
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Agreement between two large pan-cancer CRISPR-Cas9 gene dependency data sets

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