Welcome to DKOsimR Documentation! ================================= **DKOsimR** is an R package for running Double-CRISPR Knockout Simulation (DKOsim). DKOsim is a simulation framework designed to simulate growth-based dual knockout CRISPR screens. It allows users and investigators to efficiently reproduce synthetic data where both the single gene fitness effect and the interaction of gene pairs can be pre-specified. Quick Start ------------ This page introduces DKOsimR package for generating synthetic CRISPR double knockout data. See :doc:`Tutorial ` for a quickstart on installation and run simulations. A vignettes file of DKOsimR is available in the R package, and a pre-built output preview (PDF) can be downloaded :download:`here `. For more details to tune and customize your CRISPR simulation, check :doc:`Running Simulation ` and :doc:`Laboratory Data Approximation `. :doc:`Applying GI Detection Methods on Simulated Data ` provides a quick guide and example on how to apply GI detection method on simulated output data, and how to visualize the results. Finally, we supply the :doc:`Appendix ` for columns description of the simulated dataset. .. admonition:: Paper References Gu, Y., Hart, T. Leon-Novelo, L., & Shen, J.P. (2026). **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.** *PLoS Computational Biology*. 22(4): e1013510. https://doi.org/10.1371/journal.pcbi.1013510 Shen, J., Zhao, D., Sasik, R. et al (2017). **Combinatorial CRISPR-Cas9 screens for de novo mapping of genetic interactions.** *Nature Methods* 14, 573-576 (2017). https://doi.org/10.1038/nmeth.4225 .. note:: The simulation and documentations are under active development. .. toctree:: :maxdepth: 2 :caption: Contents tutorial run_sim lab_approx dlfc_apply summary_guide appendix