Wang, BinbinWang, MeiZhang, WubingXiao, TengfeiChen, Chen-HaoWu, AlexanderWu, FeizhenTraugh, NicoleWang, XiaoqingLi, ZiyiMei, ShenglinCui, YingboShi, SailingLipp, Jesse JonathanHinterndorfer, MatthiasZuber, JohannesBrown, MylesLi, WeiLiu, Xiaole2022-03-242019-02-01Wang, Binbin, Mei Wang, Wubing Zhang, Tengfei Xiao, Chen-Hao Chen, Alexander Wu, Feizhen Wu et al. "Integrative Analysis of Pooled CRISPR Genetic Screens Using MAGeCKFlute." Nature Protocols 14, no. 3 (2019): 756-780. DOI: 10.1038/s41596-018-0113-71754-21891750-2799https://nrs.harvard.edu/URN-3:HUL.INSTREPOS:37371261Genome-wide screening using CRISPR coupled with nuclease Cas9 (CRISPR/Cas9) is a powerful technology for the systematic evaluation of gene function. Statistically principled analysis is needed for the accurate identification of gene hits and associated pathways. Here, we describe how to perform computational analysis of CRISPR screens using the MAGeCKFlute pipeline. MAGeCKFlute combines the MAGeCK and MAGeCK-VISPR algorithms and incorporates additional downstream analysis functionalities. MAGeCKFlute is distinguished from other currently available tools by being a comprehensive pipeline that contains a series of functions for analyzing CRISPR screen data. This protocol explains how to use MAGeCKFlute to perform quality control, normalization, batch effect removal, copy number bias correction, gene hit identification, and downstream functional enrichment analysis for CRISPR screens. We also describe gene identification and data analysis in CRISPR screens involving drug treatment. Completing the entire MAGeCKFlute pipeline requires approximately two hours on a desktop computer running Linux or Mac OS and with R support. The MAGeCKFlute package is available at http://www.bioconductor.org/packages/release/bioc/html/MAGeCKFlute.html.en-USResearch Subject Categories::TECHNOLOGY::Bioengineering::Genetic engineering including functional genomicsJournal Article2018-07-2320182022-03-2410.1038/s41596-018-0113-7