Orobas: A Computational Approach for Scoring and Analysis of Quantitative Chemical-Genetic Interactions from CRISPR-Cas9 Screens

We present Orobas, a computational approach for transforming raw data from CRISPR-Cas9 chemical-genetic screens into quantitative interaction scores. Orobas computes differential interaction scores with accompanying statistical tests that account for multiple CRISPR guides per gene. The method includes approaches for post-processing differential log2 fold-change scores across multiple screens, incorporating normalization to reduce technical artifacts and correct batch effects. Orobas can be applied to individual or grouped screens to improve the reliability of interaction scores.

This is the first stable release of Orobas, providing the full software package with source code, comprehensive documentation, and example wrapper scripts.

Example dataset for testing Orobas: https://doi.org/10.5281/zenodo.16935293