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cellxgene

Visualize single-cell RNA-seq datasets interactively in a browser from h5ad inputs.

Updated Apr 19, 2026
Search Tags:#interactive#visualization#biology#single-cell#datasets#cellxgene#scrna-seq
One-click install
npx skills add https://github.com/CHENyiru3/AI-Skills-Collections --skill cellxgene
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cellxgene
Source: https://github.com/CHENyiru3/AI-Skills-Collections/tree/main/skills-market/compbio/single-cell/visualization/cellxgene
Command: npx skills add https://github.com/CHENyiru3/AI-Skills-Collections --skill cellxgene

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quickly discovering cell types and gene expression patterns in large single-cell RNA-seq datasets requires an intuitive visualization tool that hides data wrangling complexity.

Core Features & Use Cases

  • Interactive exploration of embeddings (UMAP, t-SNE) and gene expression across clusters.
  • Shareable visualizations and datasets, with optional programmatic access via cellxgene-census.
  • Use cases include dataset validation, cell-type annotation review, teaching demonstrations, and collaborative figure creation.

Quick Start

Launch the viewer with your h5ad dataset to open an interactive visualization in your browser.

Frequently Asked Questions about cellxgene

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I visualize single-cell RNA-seq datasets interactively?▼

You can visualize single-cell RNA-seq datasets interactively by loading h5ad files into a browser-based viewer that renders UMAP and t-SNE embeddings to uncover cell populations and gene expression patterns.

What is the best way to explore UMAP embeddings and gene expression across clusters?▼

Exploring UMAP embeddings and gene expression across clusters requires an interactive single-cell data explorer that accepts h5ad inputs and renders visualizations directly in your browser for quick data inspection.

Can I use h5ad files to review cell-type annotations with cellxgene?▼

Yes, h5ad files are the expected input format for reviewing cell-type annotations, allowing you to validate datasets and inspect gene expression patterns through interactive browser-based visualizations.

Does cellxgene offer programmatic access for single-cell datasets?▼

Programmatic access to single-cell datasets is available via cellxgene-census, complementing the browser-based interactive visualizations used for teaching demonstrations and collaborative figure creation.

When do I need an interactive viewer for scRNA-seq data?▼

An interactive viewer for scRNA-seq data is needed when you want to quickly discover cell types, validate dataset annotations, or share interactive figures with collaborators in research and teaching contexts.

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