Compute RNA velocity trajectories from scRNA-seq data using scVelo models.
npx skills add https://github.com/swaruplab/operon --skill scvelo-swaruplab
Please help me install this Agent Skill. Skill: scvelo Source: https://github.com/swaruplab/operon/tree/main/src-tauri/protocols/scvelo Command: npx skills add https://github.com/swaruplab/operon --skill scvelo-swaruplab
RNA velocity analysis enables inference of cell-state transitions in single-cell RNA-seq data by modeling transcriptional kinetics using spliced and unspliced mRNA dynamics.
Run the workflow on your AnnData object to generate velocity analyses and visualizations.
High-intent search queries and answers about installing and using this skill.
RNA velocity trajectories are computed by modeling spliced and unspliced mRNA dynamics in scRNA-seq data using scVelo's stochastic and dynamical models. This workflow outputs velocity graphs, latent time, and driver-gene rankings to infer cell-state transitions.
Latent time in RNA velocity analysis represents an inferred time dimension of cellular development based on spliced and unspliced transcriptional kinetics. scVelo calculates this metric to help predict cell fate and map dynamic gene expression across single-cell datasets.
Yes, scVelo integrates directly with Scanpy and operates on AnnData objects. You can run end-to-end velocity workflows on your existing single-cell transcriptomics data to generate velocity graphs, pseudotime, and visualizations without converting formats.
Stochastic models approximate transcriptional dynamics from moments of spliced and unspliced mRNA, while dynamical models solve the full reaction equations to infer cell-state transitions. scVelo supports both approaches to calculate velocity graphs and latent time for single-cell data.
Driver genes are identified by ranking genes according to their velocity behavior within the computed velocity graph. scVelo calculates these rankings alongside latent time and velocity pseudotime to highlight dynamic gene expression during cell-state transitions.
Yes, RNA velocity analysis requires spliced and unspliced mRNA counts to model transcriptional kinetics. Your single-cell RNA-seq dataset must contain these layers within the AnnData object to successfully compute velocity trajectories and latent time.
yf8578Perform RNA velocity analysis on single-cell RNA-seq AnnData objects.
crazymsnIdentify cellular trajectories from scRNA-seq data using scVelo dynamical models.
awslabsReconstruct cell-state transitions and developmental trajectories from single-cell RNA-seq AnnData objects.
Estrella-231Infer RNA velocity and cell fate trajectories from single-cell RNA-seq AnnData.
