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TO
tooluniverse-multiomic-disease-characterization
Maintainer FreedomIntelligence · Last updated April 1, 2026
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 layer….
Original source
FreedomIntelligence/OpenClaw-Medical-Skills
https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills/tree/main/skills/tooluniverse-multiomic-disease-characterization
- Maintainer
- FreedomIntelligence
- License
- MIT
- Last updated
- April 1, 2026
Skill Snapshot
Key Details From SKILL.md
Key Notes
- 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.
- KEY PRINCIPLES: 1. Report-first approach - Create report file FIRST, then populate progressively 2. Disease disambiguation FIRST - Resolve all identifiers before omics analysis 3. Layer-by-layer analysis - Systematically cover all omics layers 4. Cross-layer integration - Identify genes/targets appearing in multiple layers 5. Evidence grading - Grade all evidence as T1 (human/clinical) to T4 (computational) 6. Tissue context - Emphasize disease-relevant tissues/organs 7. Quantitative scoring - Multi-Omics Confidence Score (0-100) 8. Druggable focus - Prioritize targets with therapeutic potential 9. Biomarker identification - Highlight diagnostic/prognostic markers 10. Mechanistic synthesis - Generate testable hypotheses 11. Source references - Every statement must cite tool/database 12. Completeness checklist - Mandatory section showing analysis coverage 13. English-first queries - Always use English terms in tool calls. Respond in user's language.
- Report Generated: {date} Disease Identifiers: (to be filled) Multi-Omics Confidence Score: (to be calculated).
Source Doc
Excerpt From SKILL.md
When to Use This Skill
Apply when users:
- Ask about disease mechanisms across omics layers
- Need multi-omics characterization of a disease
- Want to understand disease at the systems biology level
- Ask "What pathways/genes/proteins are involved in [disease]?"
- Need biomarker discovery for a disease
- Want to identify druggable targets from disease profiling
- Ask for integrated genomics + transcriptomics + proteomics analysis
- Need cross-layer concordance analysis
- Ask about disease network biology / hub genes
NOT for (use other skills instead):
- Single gene/target validation -> Use
tooluniverse-drug-target-validation - Drug safety profiling -> Use
tooluniverse-adverse-event-detection - General disease overview -> Use
tooluniverse-disease-research - Variant interpretation -> Use
tooluniverse-variant-interpretation - GWAS-specific analysis -> Use
tooluniverse-gwas-*skills - Pathway-only analysis -> Use
tooluniverse-systems-biology
Input Parameters
| Parameter | Required | Description | Example |
|---|---|---|---|
| disease | Yes | Disease name, OMIM ID, EFO ID, or MONDO ID | Alzheimer disease, MONDO_0004975 |
| tissue | No | Tissue/organ of interest | brain, liver, blood |
| focus_layers | No | Specific omics layers to emphasize | genomics, transcriptomics, pathways |
Score Components
Data Availability (0-40 points):
- Genomics data available (GWAS or rare variants): 10 points
- Transcriptomics data available (DEGs or expression): 10 points
- Protein data available (PPI or expression): 5 points
- Pathway data available (enriched pathways): 10 points
- Clinical/drug data available (approved drugs or trials): 5 points
Evidence Concordance (0-40 points):
- Multi-layer genes (appear in 3+ layers): up to 20 points (2 per gene, max 10 genes)
- Consistent direction (genetics + expression concordant): 10 points
- Pathway-gene concordance (genes found in enriched pathways): 10 points
Evidence Quality (0-20 points):
- Strong genetic evidence (GWAS p < 5e-8): 10 points
- Clinical validation (approved drugs): 10 points
Use cases
- Ask about disease mechanisms across omics layers.
- Need multi-omics characteri.
Not for
- Do not rely on this catalog entry alone for installation or maintenance details.
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