·tooluniverse-multiomic-disease-characterization
{}

tooluniverse-multiomic-disease-characterization

✓
mims-harvard/tooluniverseGitHub: mims-harvard/tooluniverseSource: mims-harvard/tooluniverse

Comprehensive multi-omics disease characterization integrating genomics, transcriptomics, proteomics, pathway, and therapeutic layers for systems-level understanding. Produces a detailed multi-omics report with quantitative confidence scoring (0-100), cross-layer gene concordance analysis, biomarker candidates, therapeutic opportunities, and mechanistic hypotheses. Uses 80+ ToolUniverse tools across 8 analysis layers. Use when users ask about disease mechanisms, multi-omics analysis, systems biology of disease, biomarker discovery, or therapeutic target identification from a disease perspective.

mims-harvard·tooluniverse·multiomic·disease·characterization
98Installs·3Trend·@mims-harvard

Installation

GitHub: mims-harvard/tooluniverse
$npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-multiomic-disease-characterization

How to Install tooluniverse-multiomic-disease-characterization

Quickly install tooluniverse-multiomic-disease-characterization 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-multiomic-disease-characterization
  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

View raw

Characterize diseases across multiple molecular layers (genomics, transcriptomics, proteomics, pathways) to provide systems-level understanding of disease mechanisms, identify therapeutic opportunities, and discover biomarker candidates.

| disease | Yes | Disease name, OMIM ID, EFO ID, or MONDO ID | Alzheimer disease, MONDO0004975 | | tissue | No | Tissue/organ of interest | brain, liver, blood | | focuslayers | No | Specific omics layers to emphasize | genomics, transcriptomics, pathways |

| 80-100 | Excellent | Comprehensive multi-omics coverage, high confidence, strong cross-layer concordance | | 60-79 | Good | Good coverage across most layers, some gaps | | 40-59 | Moderate | Moderate coverage, limited cross-layer integration | | 0-39 | Limited | Limited data, single-layer analysis dominates |

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/mims-harvard/tooluniverse --skill tooluniverse-multiomic-disease-characterization
Source
mims-harvard/tooluniverse
Category
{}Data Analysis
Verified
✓
First Seen
2026-02-20
Updated
2026-03-10
URL
https://www.learn-skills.dev/en/skills/mims-harvard/tooluniverse/tooluniverse-multiomic-disease-characterization

Browse more skills from mims-harvard/tooluniverse

Quick answers

What is tooluniverse-multiomic-disease-characterization?

Comprehensive multi-omics disease characterization integrating genomics, transcriptomics, proteomics, pathway, and therapeutic layers for systems-level understanding. Produces a detailed multi-omics report with quantitative confidence scoring (0-100), cross-layer gene concordance analysis, biomarker candidates, therapeutic opportunities, and mechanistic hypotheses. Uses 80+ ToolUniverse tools across 8 analysis layers. Use when users ask about disease mechanisms, multi-omics analysis, systems biology of disease, biomarker discovery, or therapeutic target identification from a disease perspective. Source: mims-harvard/tooluniverse.

How do I install tooluniverse-multiomic-disease-characterization?

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-multiomic-disease-characterization 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

Details

Category
{}Data Analysis
Source
skills.sh
First Seen
2026-02-20

Related Skills

tooluniverse-sequence-retrieval
1.3K Installs
tooluniverse-literature-deep-research
163 Installs
tooluniverse
144 Installs
setup-tooluniverse
141 Installs
tooluniverse-disease-research
139 Installs
tooluniverse-chemical-compound-retrieval
136 Installs