학술논문
Agreement between two large pan-cancer CRISPR-Cas9 gene dependency data sets
Document Type
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
Source
Nature Communications, Vol 10, Iss 1, Pp 1-14 (2019)
Subject
Language
English
ISSN
2041-1723
Abstract
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.