Download
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
License
BSD LicenseFollow MAGeCK
Other Useful Business Software
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.