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scvelo - RNA Velocity Analysis for Single-Cell Data

Estimate cell state transitions from unspliced/spliced mRNA dynamics in single-cell RNA-seq data

Tags

Updated: 2026-06-30

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • load data
  • filter and normalize
  • compute moments
  • estimate velocity
  • compute velocity graph
  • recover dynamics
  • compute latent time
  • rank velocity genes
  • compute velocity confidence
  • compute velocity pseudotime
  • plot velocity embedding
  • plot velocity stream
  • compute PAGA graph
  • plot phase portraits
  • compute transition probabilities

Inputs

  • count matrices
  • spliced RNA
  • unspliced RNA
  • loom files
  • AnnData object

Outputs

  • velocity vectors
  • velocity graph
  • latent time
  • velocity pseudotime
  • velocity confidence
  • ranked driver genes
  • PAGA graph
  • velocity plots

Requirements

  • Python environment
  • scvelo package
  • scanpy package
  • spliced and unspliced RNA data
  • UMAP coordinates

Source

  • Spec: SKILL.md
single-cell
RNA-seq
trajectory inference
bioinformatics
genomics
pseudotime
load data
filter and normalize
compute moments
estimate velocity
count matrices
spliced RNA
unspliced RNA
velocity vectors
velocity graph
latent time