Double-CRISPR Knockout Simulation (DKOsim): A Monte-Carlo Randomization System to Model Cell Growth Behavior and Infer the Optimal Library Design for Growth-Based Double Knockout Screens
Yue Gu, Traver Hart, Luis G. León Novelo, John Paul Shen
DKOsim generates synthetic double knockout CRISPR data to simulate genetic interactions and optimize library design for growth-based screens.
PLoS Computational Biology · Apr 17, 2026Peer-reviewedSystems Biology