GitHub - dynverse/dyngen: Simulating single-cell data using gene regulatory networks 📠 (original) (raw)

dyngen

dyngen is a novel, multi-modal simulation engine for studying dynamic cellular processes at single-cell resolution. dyngen is more flexible than current single-cell simulation engines, and allows better method development and benchmarking, thereby stimulating development and testing of novel computational methods.

dyngen is now published (CC-BY,doi:10.1038/s41467-021-24152-2). Run citation("dyngen") to obtain the corresponding citation information. All source code for reproducing the results in this manuscript are available onGitHub.

Installation

dyngen should work straight out of the CRAN box by runninginstall.packages("dyngen"). Having said that, you should definitely configure a few system variables for optimal speed. Check theinstallation guide for more information!

Getting started

Check out this guide on how to get started with dyngen. You can find more guides by clicking any of the links below:

• Getting started
• Installation instructions
• Showcase different backbones
• Advanced: Comparison to reference dataset
• Advanced: Constructing a custom backbone
• Advanced: Running dyngen from a docker container
• Advanced: On scalability and runtime
• Advanced: Simulating batch effects
• Advanced: Simulating a knockout experiment
• Advanced: Tweaking parameters

Latest changes

A full list of changes is available on ourchangelog.