·tooluniverse-spatial-transcriptomics
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tooluniverse-spatial-transcriptomics

Analyze spatial transcriptomics data to map gene expression in tissue architecture. Supports 10x Visium, MERFISH, seqFISH, Slide-seq, and imaging-based platforms. Performs spatial clustering, domain identification, cell-cell proximity analysis, spatial gene expression patterns, tissue architecture mapping, and integration with single-cell data. Use when analyzing spatial transcriptomics datasets, studying tissue organization, identifying spatial expression patterns, mapping cell-cell interactions in tissue context, characterizing tumor microenvironment spatial structure, or integrating spatial and single-cell RNA-seq data for comprehensive tissue analysis.

101Installs·4Trend·@mims-harvard

Installation

$npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-spatial-transcriptomics

How to Install tooluniverse-spatial-transcriptomics

Quickly install tooluniverse-spatial-transcriptomics AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-spatial-transcriptomics
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: mims-harvard/tooluniverse.

SKILL.md

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Comprehensive analysis of spatially-resolved transcriptomics data to understand gene expression patterns in tissue architecture context. Combines expression profiling with spatial coordinates to reveal tissue organization, cell-cell interactions, and spatially variable genes.

| Data Import | 10x Visium, MERFISH, seqFISH, Slide-seq, STARmap, Xenium formats | | Quality Control | Spot/cell QC, spatial alignment verification, tissue coverage | | Normalization | Spatial-aware normalization accounting for tissue heterogeneity | | Spatial Clustering | Identify spatial domains with similar expression profiles |

| Spatial Variable Genes | Find genes with non-random spatial patterns | | Neighborhood Analysis | Cell-cell proximity, spatial neighborhoods, niche identification | | Spatial Patterns | Gradients, boundaries, hotspots, expression waves | | Integration | Merge with scRNA-seq for cell type mapping |

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-spatial-transcriptomics
Category
{}Data Analysis
Verified
First Seen
2026-02-20
Updated
2026-03-11

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Quick answers

What is tooluniverse-spatial-transcriptomics?

Analyze spatial transcriptomics data to map gene expression in tissue architecture. Supports 10x Visium, MERFISH, seqFISH, Slide-seq, and imaging-based platforms. Performs spatial clustering, domain identification, cell-cell proximity analysis, spatial gene expression patterns, tissue architecture mapping, and integration with single-cell data. Use when analyzing spatial transcriptomics datasets, studying tissue organization, identifying spatial expression patterns, mapping cell-cell interactions in tissue context, characterizing tumor microenvironment spatial structure, or integrating spatial and single-cell RNA-seq data for comprehensive tissue analysis. Source: mims-harvard/tooluniverse.

How do I install tooluniverse-spatial-transcriptomics?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-spatial-transcriptomics Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/mims-harvard/tooluniverse