MAGeCK2 is here: https://github.com/davidliwei/mageck2

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 2000 citations and 200k 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

Project Samples

Project Activity

See All Activity >

License

BSD License

Follow MAGeCK

MAGeCK Web Site

Other Useful Business Software
$300 Free Credits for Your Google Cloud Projects Icon
$300 Free Credits for Your Google Cloud Projects

Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.

Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Start Free Trial

Additional Project Details

Intended Audience

Science/Research

Programming Language

C, Python

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