Quantitative analysis of genetic interactions in human cells from genome-wide CRISPR-Cas9 screens
Abstract
The documented code (qGI_scoring.Rmd) supports the manuscript titled "Quantitative analysis of genetic interactions in human cells from genome-wide CRISPR-Cas9 screens". It generates quantitative genetic interaction (qGI) scores from raw gRNA read counts (provided in a separate Zenodo data repository). This code illustrates the different data processing steps and visualizes aspects of the data where this supports a careful execution of the normalization steps. The code for additional analyses, for instance for re-scoring the data without a normalization step to judge the effect of this given normalization, is not explicitly provided here, but can be synthesized from the code. This documented code sources the qGI_functions.R source code. The scores generated from this code are also described in the manuscript titled "A global genetic interaction map of a human cell reveals conserved principles of genetic networks"
Fields of Study & Subjects
CRISPR and Genetic Engineering
Bioinformatics and Genomic Networks
Gene Regulatory Network Analysis
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 January 2026
- Document type
- Book