Quantitative analysis of genetic interactions in human cells from genome-wide CRISPR-Cas9 screens

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Maximilian Billmann, Michael Costanzo, Mahfuzur Rahman, Katherine Chan, Amy HY Tong, Henry N. Ward, Arshia Zernab Hassan, Xiang Zhang, Kevin R Brown, Thomas Rohde, Angela H Shaw, Catherine Ross
+10 more Jolanda S. van Leeuwen, Michael Aregger, Keith Lawson, Barbara Mair, Patricia Mero, Matej Usai, Brenda Andrews, Charles M. Boone, Jason Moffat, Chad L. Myers
DOI: 10.5281/zenodo.18224531
Cited by: 0

Abstract

The datasets in this record supports the manuscript titled "Quantitative analysis of genetic interactions in human cells from genome-wide CRISPR-Cas9 screens". The datasets are, together with the code provided in the related Zenodo software record, sufficient to reproduce all scores and the main analyses reported in the manuscript. The datasets comprise raw gRNA readcounts from CRISPR screens and the associated metadata. The resulting scores are also described in the manuscript titled "A global genetic interaction map of a human cell reveals conserved principles of genetic networks" Detailed instructions for running the analyses are provided in the code repository README.

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
Dataset