Home / pku-yuangroup / openai4s · skills/bioskills/bio-alternative-splicing-splicing-qc/SKILL.md · GitHub

bio-splicing-qc skillA

bio-splicing-qc is agent-read markdown (skill) from pku-yuangroup/openai4s: Assesses RNA-seq data quality specifically for alternative splicing analysis. QC layers include experimental design audit (library prep, read length, depth, replicates), STAR 2-pass cohort-style alignment, junction saturation curves and discovery plateau detection, novel-vs-known junction ratio diagnostics, junction-overhang distribution, splice-site strength scoring (MaxEntScan intrinsic + SpliceAI context-aware), strandedness verification, GENCODE basic vs comprehensive choice, and rRNA contam.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

## Version Compatibility

Reference examples tested with: RSeQC 5.0+, STAR 2.7.11+, samtools 1.19+, pysam 0.22+, regtools 1.0+, maxentpy 0.0.1+, spliceai 1.3+, matplotlib 3.8+, pandas 2.2+

Before using code patterns, verify installed versions match. If versions differ:
- Python: `pip show <package>` then `help(module.function)` to check signatures
- CLI: `<tool> --version` then `<tool> --help` to confirm flags

If code throws ImportError, AttributeError, or TypeError, introspect the installed
package and adapt the example to match the actual API rather than retrying.

# Splicing-Specific Quality Control

Splicing analysis is more demanding than DGE on read length, depth, library prep, alignment strategy, and annotation choice. Failures in any of these silently bias PSI estimates and inflate novel-junction false positives. The decision sequence is: experimental design -> library prep -> alignment strategy -> annotation -> diagnostic metrics. Each layer's failure mode is distinct.

## QC Layer Taxonomy

| Layer | Target | Tool | Fails when |
|-------|--------|------|------------|
…

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How to install

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A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
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Source

GitHub

pku-yuangroup/openai4s · 586 stars · license MIT · pushed 2026-09-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_yhmdf73cogacaf2v
GET https://markdownregistry.com/api/v1/resolve?ref=pku-yuangroup/openai4s/bio-splicing-qc
GET https://markdownregistry.com/api/v1/blob/5b99c1f323534dee3f29e423398e1fc40725348048c2c824e27c763777022a57

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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