MAGeCK

prealpha

Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout

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Description

Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout (MAGeCK) is a computational tool to identify important genes from the recent genome-scale CRISPR-Cas9 knockout screens (GeCKO) technology.

MAGeCK is developed and maintained by Wei Li and Han Xu from Dr. Xiaole Shirley Liu's lab at Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard School of Public Health.

MAGeCK Web Site

Features

  • Simple, easy to use pipeline to screen genes in Genome-wide CRISPR-Cas9 Knockout (GeCKO) experiments
  • High sensitivity and low false discovery rate
  • Fully utilize the screening data by performing both positive and negative screening in one dataset
  • Provide statistical evaluation in both genes and sgRNAs
  • Require as few as 2 samples
  • Identify cell-type specific targets

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Additional Project Details

Intended Audience

Science/Research

Programming Language

C, Python

Registered

2014-04-04
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