bio-scvelo
OfficialRNA velocity analysis for cell fate.
Authorbiomaps-infra
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables the analysis of RNA velocity to understand cell state transitions and infer developmental trajectories from single-cell RNA-seq data, even without time-course experiments.
Core Features & Use Cases
- RNA Velocity Estimation: Computes the direction and speed of cell differentiation based on mRNA splicing dynamics.
- Trajectory Inference: Reconstructs developmental paths and predicts cell fates.
- Latent Time Calculation: Orders cells along a pseudotime axis derived from splicing kinetics.
- Driver Gene Identification: Pinpoints genes that drive observed cell state transitions.
- Use Case: Analyze a single-cell RNA-seq dataset of developing blood cells to predict which progenitor cells will differentiate into specific mature cell types and identify the key genes regulating this process.
Quick Start
Use the bio-scvelo skill to run the RNA velocity analysis on the provided AnnData object.
Dependency Matrix
Required Modules
scveloscanpynumpymatplotlib
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: bio-scvelo Download link: https://github.com/biomaps-infra/blender-opencode/archive/main.zip#bio-scvelo Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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