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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 on GitHub.
dyngen should work straight out of the CRAN box by running
install.packages("dyngen"). Having said that, you should
definitely configure a few system variables for optimal speed. Check the
installation
guide for more information!
Check out this guide on how to get started with dyngen. You can find more guides by clicking any of the links below:
A full list of changes is available on our changelog.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.