Agent skill

rare-disease-rnaseq

Blood RNA-seq expression-outlier detection for rare-disease diagnostics. Cases scored against a control reference panel; outliers ranked and filtered by a haploinsufficient disease-gene panel.

BioTender-maxgithub.com/BioTender-maxGitHub ↗
claude-codeships scriptsNOASSERTION
Install
npx skills add BioTender-max/awesome-bio-agent-skills --skill rare-disease-rnaseq --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 4
SKILL.md size: 5 KB
Bundled scripts: yes
Version: 0.1.0
Path: skills/clawbio/rare-disease-rnaseq/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 135
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 🩸 Rare-Disease Blood RNA-seq Outlier Detection Reproduces the diagnostic principle of the Genomics England NGRL paper (Blood-based RNA-Seq of 5,412 individuals, medRxiv 2026.03.19.26348811). For each case sample, scores per-gene expression against a control reference panel and flags candidates falling in a curated dosage-sensitive disease-gene panel. ## When To Use - A WGS-negative or WGS-VUS rare-disease patient with a paired blood RNA-seq sample - A clinical bioinformatician triaging candidate diagnoses before MDT review - A population-biobank team building an ancestry-matched control reference for outlier calling (e.g. Qatar Biobank for Sidra paediatric cases) ## Method Per-gene robust outlier scoring on log2(CPM+1): 1. Library-size normalise (CPM), log-transform 2. For each gene: compute median and MAD across the control panel 3. For each case-gene cell: modified z = 0.6745 (x − median) / MAD 4. Flag |z| ≥ threshold (default 3) and gene in disease panel 5. Rank by |z|, separate down-outliers (haploinsufficiency-consistent) from up-outliers This implements the **diagnostic principle** of OUTRIDER (per-gene outlier vs control panel) without the autoencoder, so it runs in secon

What's inside
Steps it walks through
  1. When To Use
  2. Method
  3. Input Contract
  4. Output Structure
  5. Demo
  6. Production Path (Sidra / QBB Reference)
  7. Safety
  8. Disclaimer
Ships with 3 files
  • data/disease_panel.csv
  • rare_disease_rnaseq.py
  • tests/test_rare_disease_rnaseq.py
Commands it runs
python clawbio.py run rdoutlier --demo
More from awesome-bio-agent-skills
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About this skill
What does the rare-disease-rnaseq skill do?

Blood RNA-seq expression-outlier detection for rare-disease diagnostics. Cases scored against a control reference panel; outliers ranked and filtered by a haploinsufficient disease-gene panel.

How do I install it?

Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill rare-disease-rnaseq --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From BioTender-max/awesome-bio-agent-skills, a repository with 135 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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