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.