A set of tools supporting the development, execution, and benchmarking of trajectory inference methods. 🌍
dynverse is a collection of R packages aimed at supporting the trajectory inference (TI) community on multiple levels: end-users who want to apply TI on their dataset of interest, and developers who seek to easily quantify the performance of their TI method and compare it to other TI methods.
All of these packages were developed as part of a benchmarking study available on bioRxiv. All source code has been made available in the dynbenchmark repository.
A comparison of single-cell trajectory inference methods: towards more accurate and robust tools
Wouter Saelens* , Robrecht Cannoodt* , Helena Todorov , Yvan Saeys
bioRxiv:276907 doi:10.1101/276907
*: Equal contribution
The dyno package offers end-users a complete TI pipeline. It features:
For developers of existing or new TI methods, dyno offers the same features as to end-users. In addition, developers might also want to check out the following packages: