ArchVelo is published in Nature Communications

Our ArchVelo paper describing a new method for trajectory inference from scATAC+RNA-seq multiomics data is published in Nature Communications!

ArchVelo outperforms existing methods and enables new types of analyses, such as archetypal trajectory decomposition to define cell bifurcations and multi-potency, and identification of the underlying transcription factor regulators. Using ArchVelo, we infer previously uncharacterized CD8 T cell transitions in response to viral infection.