agentsclimarketplace
Sign in

Seurat single cell analyzer

Skill a5c-ai/babysitter/library/specializations/domains/science/bioinformatics/skills/seurat-single-cell-analyzer

Seurat single-cell analysis skill for clustering, annotation, and trajectory analysisFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill seurat-single-cell-analyzer

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.5 KB, 175 tokens by cl100k_base, as published. Nobody here has run it

Seurat Single-Cell Analyzer Skill

Purpose

Enable Seurat single-cell analysis for clustering, annotation, and trajectory analysis of scRNA-seq data.

Capabilities

  • Quality filtering and normalization
  • Dimensionality reduction (PCA, UMAP)
  • Graph-based clustering
  • Marker gene identification
  • Cell type annotation
  • Integration across datasets
  • Trajectory inference

Usage Guidelines

  • Apply quality filters appropriate for experiment
  • Normalize data before dimensionality reduction
  • Select clustering resolution based on biology
  • Identify markers for cluster annotation
  • Integrate datasets to remove batch effects
  • Document analysis parameters

Dependencies

  • Seurat
  • Scanpy
  • CellRanger

Process Integration

  • Single-Cell RNA-seq Analysis (scrnaseq-analysis)
  • Spatial Transcriptomics Analysis (spatial-transcriptomics)

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 326,059. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.