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.

Saved in:
Bibliographic Details
Title: 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.
Authors: Gu, Yue1,2 (AUTHOR), Hart, Traver3 (AUTHOR), Leon-Novelo, Luis2 (AUTHOR) Jshen8@mdanderson.org, Shen, John Paul1 (AUTHOR) Luis.G.LeonNovelo@uth.tmc.edu
Source: PLoS Computational Biology. 4/17/2026, Vol. 22 Issue 4, p1-27. 27p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
Description
ISSN:1553734X
DOI:10.1371/journal.pcbi.1013510