Agent skill · Data & Analytics

screpcombiningexpression

Combine scTCR/BCR repertoire data with scRNA-seq expression data using `scRepertoire::combineExpression()`. This process integrates immune receptor information (CDR3 sequences, V(D)J genes, clonotypes) into a Seurat object's metadata, enabling clonotype-aware gene expression analysis.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill screpcombiningexpression --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 13 KB
Bundled scripts: none
Path: skills/ai-ml/screpcombiningexpression/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# ScRepCombiningExpression Process Configuration ## Purpose Combine scTCR/BCR repertoire data with scRNA-seq expression data using `scRepertoire::combineExpression()`. This process integrates immune receptor information (CDR3 sequences, V(D)J genes, clonotypes) into a Seurat object's metadata, enabling clonotype-aware gene expression analysis. ## When to Use - When analyzing paired scTCR-seq + scRNA-seq data or paired scBCR-seq + scRNA-seq data - Required for all downstream TCR/BCR analyses (CDR3Clustering, TESSA, ClonalStats) - After ScRepLoading and SeuratClustering (or TOrBCellSelection) - When you need to visualize or analyze clonotype distribution across RNA clusters ## Configuration Structure ### Process Enablement ```toml [ScRepCombiningExpression] cache = true ``` ### Input Specification ```toml [ScRepCombiningExpression.in] # Required inputs screpfile = ["ScRepLoading"] # scRepertoire object from ScRepLoading srtobj = ["SeuratClustering"] # Seurat object with RNA data ``` **Note**: Barcodes in `srtobj` must match barcodes in `screpfile`. Ensure both datasets were generated from the same cell calling run. ### Environment Variables ```toml [ScRepCombiningExpression.envs] # C

What's inside
Steps it walks through
  1. Purpose
  2. When to Use
  3. Configuration Structure
  4. Process Enablement
  5. Input Specification
  6. Environment Variables
  7. Configuration Examples
  8. Minimal Configuration
  9. Standard TCR Integration
  10. BCR Heavy+Light Chain Integration
  11. Clonotype by RNA Cluster
  12. Remove Non-Productive Cells
  13. Gene-Based Clonotype Definition
  14. Common Patterns
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the screpcombiningexpression skill do?

Combine scTCR/BCR repertoire data with scRNA-seq expression data using `scRepertoire::combineExpression()`. This process integrates immune receptor information (CDR3 sequences, V(D)J genes, clonotypes) into a Seurat object's metadata, enabling clonotype-aware gene expression analysis.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill screpcombiningexpression --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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