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
Enterprise-grade ITSM, for every business Icon
Enterprise-grade ITSM, for every business

Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.

Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
Try it Free

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