scVelo - RNA velocity generalized through dynamical modeling

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UID: 11374

Author(s): Bergen, Volker, Weiler, Philipp

Description: Description from GitHub:

"scVelo is a scalable toolkit for RNA velocity analysis in single cells; RNA velocity enables the recovery of directed dynamic information by leveraging splicing kinetics. scVelo collects different methods for inferring RNA velocity using an expectation-maximization framework, deep generative modeling, or metabolically labeled transcripts.

scVelo's key applications:
- estimate RNA velocity to study cellular dynamics.
- identify putative driver genes and regimes of regulatory changes.
- infer a latent time to reconstruct the temporal sequence of transcriptomic events.
- estimate reaction rates of transcription, splicing and degradation.
- use statistical tests, e.g., to detect different kinetics regimes."

Subject(s)

Access via GitHub
Access Restrictions: Free to All
Access Instructions: Available on GitHub via a BSD 3-Clause License.
Associated Publications: Weiler P, Lange M, Klein M, Pe’er D, Theis F. CellRank 2: Unified fate mapping in multiview single-cell data. Nature Methods. 2024; 21(7):1196-1205.
Dataset Format(s): YML, PY, MD
Dataset Size: 26.8 MB

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