Quality control, modeling, and visualization of CRISPR screens with MAGeCK-VISPR.

Citation:

Wei Li*, Johannes Köster*, Han Xu, Chen-Hao Chen, Tengfei Xiao, Jun S Liu, Myles Brown, and X. Shirley Liu. 2015. “Quality control, modeling, and visualization of CRISPR screens with MAGeCK-VISPR.” Genome Biol, 16, Pp. 281. Publisher's Version
Quality control, modeling, and visualization of CRISPR screens with MAGeCK-VISPR.

Abstract:

High-throughput CRISPR screens have shown great promise in functional genomics. We present MAGeCK-VISPR, a comprehensive quality control (QC), analysis, and visualization workflow for CRISPR screens. MAGeCK-VISPR defines a set of QC measures to assess the quality of an experiment, and includes a maximum-likelihood algorithm to call essential genes simultaneously under multiple conditions. The algorithm uses a generalized linear model to deconvolute different effects, and employs expectation-maximization to iteratively estimate sgRNA knockout efficiency and gene essentiality. MAGeCK-VISPR also includes VISPR, a framework for the interactive visualization and exploration of QC and analysis results. MAGeCK-VISPR is freely available at http://bitbucket.org/liulab/mageck-vispr .

Last updated on 08/26/2016