vitessce

Visualize multi-modal spatial single-cell data in interactive browser dashboards.

Updated Apr 19, 2026
One-click install
npx skills add https://github.com/CHENyiru3/AI-Skills-Collections --skill vitessce
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: vitessce
Source: https://github.com/CHENyiru3/AI-Skills-Collections/tree/main/skills-market/compbio/spatial-omics/visualization/vitessce
Command: npx skills add https://github.com/CHENyiru3/AI-Skills-Collections --skill vitessce

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Vitessce provides an integrated framework to visualize multi-modal and spatial single-cell data in interactive dashboards, enabling researchers to explore complex datasets without writing custom visualization code.

Core Features & Use Cases

  • Interactive dashboards for spatial omics data visualization.
  • Multi-modal data integration across gene expression, proteins, and images.
  • Quick setup of Vitessce configurations to share insights with collaborators.

Quick Start

Install the Vitessce package and generate a basic config for a dataset to render in a browser.

Frequently Asked Questions about vitessce

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

FAQPage Schema
How do I visualize spatial single-cell data in an interactive dashboard?▼

You can visualize spatial single-cell data in an interactive dashboard by using a configuration-driven setup that renders multi-modal datasets in a browser, avoiding the need for custom visualization code.

What is the best way to integrate gene expression and protein data for spatial omics visualization?▼

Integrating gene expression and protein data for spatial omics visualization requires a front-end framework that supports multi-modal data integration, allowing you to explore complex datasets across imaging and expression layers.

Can I share interactive spatial omics dashboards with collaborators without writing custom visualization code?▼

Yes, you can share interactive spatial omics dashboards with collaborators by generating a configuration file for your dataset that renders directly in a browser, eliminating the need for custom visualization code.

How do I set up a browser-based rendering environment for multi-modal spatial data?▼

To set up browser-based rendering for multi-modal spatial data, install the visualization package and generate a basic configuration for your dataset, which enables interactive rendering without custom front-end development.

Does configuration-driven visualization support multi-modal spatial omics datasets?▼

Configuration-driven visualization supports multi-modal spatial omics datasets by applying integrated views of gene expression, protein, and imaging data across multiple datasets within a single interactive dashboard.