Item: scvelo
Rating: 4.3
Author: Implexa

scvelo

RNA velocity analysis with scVelo. Estimate cell state transitions from unspliced/spliced mRNA dynamics, infer trajectory directions, compute latent time, and…

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SkillRank score ↗

4.3/ 10

evaluated by implexa, claude-haiku-4-5 · 2026-06-22

scvelo estimates cell state transitions and infers developmental trajectories from unspliced/spliced mrna dynamics in single-cell rna-seq data without time-course labeling.

structure

3.0

trigger phrases

2.0

procedure

2.0

edge cases

1.0

documentation

4.0

strengths

SKILL.md

scVelo — RNA Velocity Analysis

Overview

scVelo is the leading Python package for RNA velocity analysis in single-cell RNA-seq data. It infers cell state transitions by modeling the kinetics of mRNA splicing — using the ratio of unspliced (pre-mRNA) to spliced (mature mRNA) abundances to determine whether a gene is being upregulated or downregulated in each cell. This allows reconstruction of developmental trajectories and identification of cell fate decisions without requiring time-course data.

Installation: pip install scvelo

Key resources:

Documentation: https://scvelo.readthedocs.io/

GitHub: https://github.com/theislab/scvelo

Paper: Bergen et al. (2020) Nature Biotechnology. PMID: 32747759

When to Use This Skill

Use scVelo when:

don't have the plugin yet? install it then click "run inline in claude" again.

scvelo

SKILL.md

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