What problem does it solve?
scVelo provides RNA velocity analysis to infer cell-state trajectories from snapshot single-cell RNA-seq data by modeling spliced and unspliced mRNA dynamics, enabling researchers to predict future cell states and differentiation directions.
Core Features & Use Cases
- Dynamic velocity estimation (stochastic and dynamical modes) to infer transcriptional kinetics from spliced/unspliced counts.
- Latent time and velocityGraph computation to order cells along developmental trajectories.
- Driver-gene identification and visualization to highlight genes driving state transitions.
- Seamless integration with Scanpy workflows on AnnData objects to extend standard single-cell analyses.
Quick Start
Load your AnnData with spliced and unspliced layers, then run the dynamical velocity workflow to obtain latent time and driver genes.