scientific-cellxgene-census
CommunityScale CELLxGENE Census data for single-cell atlas
Authornahisaho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
CELLxGENE Census provides scalable access to metadata and gene expression across large single-cell atlases, enabling researchers to fetch cross-atlas datasets efficiently.
Core Features & Use Cases
- Metadata search across human and mouse census datasets to filter by tissue, disease, and dataset attributes.
- Gene expression retrieval (adata) for selected genes across atlases, with optional subsetting by cells/datasets.
- Cross-atlas data integration support by exporting to CSV and AnnData for downstream analyses.
Quick Start
Run a Python script to query CELLxGENE Census for datasets and gene expression with organism and tissue filters.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: scientific-cellxgene-census Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-cellxgene-census Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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