multiome-scatac
CommunityIntegrate scRNA and ATAC data multimodally.
Data & Analytics#integration#multimodal#single-cell#scRNA-seq#scATAC-seq#regulatory-analysis#gene-activity
Authorzongtingwei
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Paired multiomics single-cell data (RNA and ATAC) are challenging to analyze jointly; this skill provides a cohesive workflow to generate integrated embeddings and interpretable regulatory insights.
Core Features & Use Cases
- Integrated multimodal analysis across RNA expression and chromatin accessibility to reveal joint cellular states.
- Quality control, feature harmonization, and robust data integration for reliable downstream interpretation.
- Use cases include multiome datasets where gene activity, motif accessibility, or regulatory linkages are of interest, across cell types or conditions.
Quick Start
Start by loading a multiome object, perform QC on both modalities, and proceed to joint integration and regulatory interpretation.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
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Please help me install this Skill: Name: multiome-scatac Download link: https://github.com/zongtingwei/Bioclaw_Skills_Hub/archive/main.zip#multiome-scatac Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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