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felicityallen / JACKS

Analysis package for processing counts from genome-wide CRISPR/Cas9 screens
Apache License 2.0
14 stars 13 forks source link
bioinformatics crispr crispr-analysis crispr-cas9 genome-wide-data

readme

In the subdirectories here you will find:

jacks:

The JACKS python package (please see jacks/README.txt for usage instructions)

2018_paper_materials:

Scripts and README files with location of results and data for the JACKS 2018 paper.

reference_grna_efficacies:

Trained values for JACKS's gRNA efficacies for the Avana, GeCKOv2, Yusa 1.0, TKOv1 and Whiteahead libraries as generated for the 2018 JACKS paper. These can be used with run_JACKS.py to evaluate screens on these libraries without re-running the full analysis.