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 technology.

For instructions and documentations, please refer to the wiki page.

MAGeCK is developed by Wei Li and Han Xu from Dr. Xiaole Shirley Liu's lab at Dana-Farber Cancer Institute/Harvard School of Public Health, and is maintained by Wei Li lab at Children's National Medical Center. We thank the support from Claudia Adams Barr Program in Innovative Basic Cancer Research and NIH/NHGRI to develop MAGeCK.

Features

  • The most popular computational algorithm in screening analysis
  • Over 400 citations and 60k downloads
  • Simple, easy to use pipeline to screen genes in Genome-wide CRISPR-Cas9 Knockout experiments
  • A complete documentation with easy-to-start tutorials
  • High sensitivity and low false discovery rate
  • Actively maintaining the source code with new features and bug fixes
  • Support from the developer and user community
  • A set of visualization features that generate publication standard figures

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License

BSD License

Follow MAGeCK

MAGeCK Web Site

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Additional Project Details

Intended Audience

Science/Research

Programming Language

Python, C

Related Categories

Python Bio-Informatics Software, Python Medical Software, Python Statistics Software, C Bio-Informatics Software, C Medical Software, C Statistics Software

Registered

2014-04-04