seuratmap2ref
CommunityMap query scRNA datasets to reference atlases.
Data & Analytics#single-cell#scRNA-seq#umap#reference-mapping#seurat#transfer-learning#label-transfer
Authorpwwang
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This workflow maps query single-cell RNA datasets to high-quality reference atlases using Seurat's reference mapping framework. It enables label transfer, UMAP projection, and integration with reference annotations without modifying the original query data, supporting transferable analyses across tissues and atlas platforms.
Core Features & Use Cases
- Reference-based annotation: Transfer cell type labels and metadata from curated references (e.g., Azimuth PBMC) to the query.
- UMAP projection: Visualize query cells in the reference UMAP space for consistent interpretation.
- Non-destructive mapping: Preserve the query's expression data while augmenting it with reference-derived annotations.
- Transfer learning workflows: Use established atlases to annotate novel tissues or cell states with confidence.
Quick Start
Load your Seurat query object and a validated reference, configure the mapping parameters, and run the reference-mapping workflow to obtain transferred annotations.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: seuratmap2ref Download link: https://github.com/pwwang/immunopipe/archive/main.zip#seuratmap2ref Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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