dynverse is created to support the development, execution, and benchmarking of trajectory inference methods. Check out our preprint on bioRxiv:
Wouter Saelens*, Robrecht Cannoodt*, Helena Todorov, Yvan Saeys. “A comparison of single-cell trajectory inference methods: towards more accurate and robust tools”. bioRxiv (Mar. 2018). DOI: 10.1101/276907.
*: Equal contribution
dynverse consists of several subpackages:
| Package | Status | Description |
|---|---|---|
| dynalysis | Coming soon | Scripts to reproduce manuscript |
| dynwrap |  |
Common wrapping functionality |
| dynmethods |  |
Wrappers for trajectory inference methods |
| dyneval | Coming soon | Metrics and evaluation pipeline |
| dyngen | Coming soon | Generator of synthetic datasets |
| dynnormaliser |  |
Common normalisation functionality |
| dyntoy |  |
Quick generator of small toy datasets |
| dynplot |  |
Common visualisation functionality |
| dynutils |  |
Various common functions |