bio-single-cell-scatac-analysis
CommunityEnd-to-end scATAC analysis with Signac and ArchR.
Authorya-way
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Single-cell ATAC-seq analysis workflow to identify regulatory elements and cell types, enabling streamlined QC, dimensionality reduction, clustering, peak calling, and motif activity scoring.
Core Features & Use Cases
- Comprehensive scATAC processing with Signac (R/Seurat) and ArchR for peak calling, motif scoring, and integration with scRNA-seq.
- Scalable workflow for 10X Genomics scATAC data, with QC metrics and visualization.
- Use Case: researchers upload a 10X scATAC dataset and obtain cell type annotations, peak sets, and motif activity profiles.
Quick Start
Process a 10X Genomics scATAC dataset to generate QC metrics, cluster cells, call peaks, and score motif activity.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: bio-single-cell-scatac-analysis Download link: https://github.com/ya-way/cytoclaw-skills/archive/main.zip#bio-single-cell-scatac-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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