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sc-best-practices-auto

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Unlock best practices for single-cell AIRR analysis.

Education & Research#multimodal#single-cell#annotation#scRNA-seq#AIRR#clonotype
AuthorKetomihine
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill consolidates best-practice guidance for single-cell AIRR (TCR/BCR) analysis, turning scattered notes into a coherent workflow that researchers can follow to reproduce and adapt.

Core Features & Use Cases

  • Automated annotation guidance for immune-receptor data linked to transcriptomes.
  • Clonotype and repertoire analysis workflows covering diversity, abundance, and network visualizations.
  • Multimodal integration examples combining GEX, TCR/BCR data, and downstream analyses for end-to-end insights.
  • Use Case: Reproduce tutorial analyses on a new AIRR dataset and tailor pipelines for your study.

Quick Start

Load your AIRR and scRNA-seq data, then follow the references to apply annotation, clonotype, and multimodal analysis steps described in the material.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

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Please help me install this Skill:
Name: sc-best-practices-auto
Download link: https://github.com/Ketomihine/my_skills/archive/main.zip#sc-best-practices-auto

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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