RNA velocity analysis helps scientists understand how cells change over time. It uses data from single-cell experiments to predict which direction a cell is moving. This is important for studying development, disease, and tissue regeneration.
scVelo is a leading Python tool for this task. It looks at the ratio of unspliced to spliced RNA in each cell. This tells you if a gene is being turned on or off. From that information, it can reconstruct the path of cell differentiation without needing time-course data.
Researchers use scVelo to find driver genes, estimate latent time, and add directional arrows to UMAP plots. It works well with Scanpy, a popular single-cell analysis toolkit. Anyone working with single-cell RNA-seq data can benefit from this skill.
Add Scvelo skill to your workflow
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mkdir -p ~/.claude/skills/scveloProject
mkdir -p .claude/skills/scveloSource Repository
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