tooluniverse-multiomic-disease-characterization
Multi-Omics Disease Characterization Pipeline
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:
- Report-first approach - Create report file FIRST, then populate progressively
- Disease disambiguation FIRST - Resolve all identifiers before omics analysis
- Layer-by-layer analysis - Systematically cover all omics layers
- Cross-layer integration - Identify genes/targets appearing in multiple layers
- Evidence grading - Grade all evidence as T1 (human/clinical) to T4 (computational)
- Tissue context - Emphasize disease-relevant tissues/organs
- Quantitative scoring - Multi-Omics Confidence Score (0-100)
- Druggable focus - Prioritize targets with therapeutic potential
- Biomarker identification - Highlight diagnostic/prognostic markers
- Mechanistic synthesis - Generate testable hypotheses
- Source references - Every statement must cite tool/database
- Completeness checklist - Mandatory section showing analysis coverage
- English-first queries - Always use English terms in tool calls. Respond in user's language
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