CellRank, fate mapping, cellular dynamics, metabolic labeling

CellRank 2, our latest work on cell-state dynamics from single-cell data, is out in Nature Methods and won the first Helmholtz Software Award in the category “Scientific originality”. To date, the software has been downloaded over 120,000 times from PyPI and is used by biologists around the world to gain a deeper understanding into complex biological processes including cancer, regeneration, development and reprogramming.

Happy to share that we released our preprint presenting CellRank 2, a unified framework to study cellular fate decisions. CellRank 2 comes with a modular interface that makes it easy to learn transition probabilities among cells based on various data modalities or views; currently, these include any Pseudotime, developmental potential, real-time information, and metabolic labeling data.