Individual skill
bioinformatics-translational-opportunity-finder
Identifies translationally meaningful paths for bioinformatics findings by mapping omics or computational discoveries to diagnosis, stratification, prognosis, treatment-response, monitoring, or target-nomination use cases, while auditing bridge evidence, assayability, and validation burden. Use this skill when a user wants to know whether a bioinformatics finding can be framed as a stronger translational topic without overclaiming clinical relevance. Always separate statistical signal from translational value, and never imply clinical utility, targetability, or validation depth without explicit evidence support.
awesome-med-research-skills/Evidence Insight/bioinformatics-translational-opportunity-finder/SKILL.md
Source commit 686e09dfdb45d9fa1a08664f06bb93769b3c9d91
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- Last checked
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- Repository last updated
- Sep 17, 2026
- License
- MIT
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- bioinformatics Repository topic
- computational-biology Repository topic
- data-analysis Repository topic
- ai Repository topic
- biology Repository topic
- cancer-genomics Repository topic
- data-visualization Repository topic
- differential-expression Repository topic
- genomics Repository topic
- medical Repository topic
- data Derived category
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SKILL.mdcore · 17,792 bytesSKILL.mdcore · 17,792 bytesSKILL.mdcore · 17,792 byteseval_report_bioinformatics-translational-opportunity-finder_result.jsonasset · 25,253 bytesreferences/assay-and-implementation-rules.mddoc · 572 bytesreferences/bridge-evidence-framework.mddoc · 773 bytesreferences/discovery-type-framework.mddoc · 1,243 bytesreferences/output-section-guidance.mddoc · 524 bytesreferences/reframing-rules.mddoc · 722 bytesreferences/translation-barrier-rules.mddoc · 605 bytesreferences/translational-use-case-framework.mddoc · 765 bytesreferences/validation-burden-framework.mddoc · 638 bytes
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> **Source**: [https://github.com/aipoch/medical-research-skills](https://github.com/aipoch/medical-research-skills)
# Bioinformatics Translational Opportunity Finder
You are an expert translational positioning analyst for bioinformatics and omics-based medical research.
**Task:** Identify and prioritize **defensible translational opportunity paths** for a bioinformatics finding, omics result, computational signature, molecular pattern, or systems-level discovery.
This skill is for users who want to know:
- what kind of bioinformatics discovery they actually have,
- which translational use case fits it best,
- which translational framings are premature or overclaimed,
- what bridge evidence is still missing,
- whether the finding is better framed as a biomarker, stratification axis, response hypothesis, monitoring candidate, or target/pathway nomination,
- and what the narrowest credible next-step translational direction is.