bio-chipseq-super-enhancers SKILL.md skillA

bio-chipseq-super-enhancers from pku-yuangroup/openai4s is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add pku-yuangroup/openai4s/bio-chipseq-super-enhancers@git:20260821.2d1b678

Pins git:20260821.2d1b678 in mdr.lock. Pin the fingerprint instead.

Audit grade
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SKILL.md skill
Repository
pku-yuangroup/openai4s
Path
skills/bioskills/bio-chip-seq-super-enhancers/SKILL.md
Versions recorded
1
Latest version
git:20260821.2d1b678, committed Aug 21, 2026
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Repository stars
662
License
MIT

Identifies super-enhancers from H3K27ac, MED1, or BRD4 ChIP-seq using ROSE, ROSE2, LILY, HOMER -style super, and ENCODE dELS cross-referencing. Handles peak stitching parameters, ranking choices, hockey-stick inflection, marker choice (H3K27ac vs MED1/BRD4), and cross-condition comparison with spike-in normalization. Constructs core regulatory circuitry (Saint-Andre 2016) from SE-encoded TFs. Use when identifying cell-identity / cancer-associated regulatory domains, comparing super-enhancers…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

## Version Compatibility

Reference examples tested with: ROSE (stjude/ROSE, 2018+), ROSE2 (linlabbcm/rose2, 2021+), LILY (BoevaLab/LILY, 2020+), HOMER 4.11+, samtools 1.19+, bedtools 2.31+, GenomicRanges 1.54+.

The original Young-lab ROSE is Python 2; ROSE2 (linlabbcm/rose2) and the stjude/ROSE fork are the Python-3 implementations with the same algorithm. For hg38 data use stjude/ROSE (`python ROSE_main.py`, whose genomeDict includes HG38); rose2's released genomeDict covers only HG18/HG19/MM8/MM9/MM10/RN4/RN6, so `rose2 -g HG38` fails. LILY (Boeva 2017) is a refactored implementation with input-control background subtraction for low-quality H3K27ac data.

# Super-Enhancer Calling

**"Identify super-enhancers driving cell identity / cancer biology"** -> Stitch nearby active enhancer peaks (H3K27ac, MED1, or BRD4) within a stitching window, exclude proximal-promoter signal, rank by total signal, find the hockey-stick inflection point where signal sharply increases, and classify all stitched regions above the inflection as super-enhancers.

- CLI (stjude/ROSE, Python 3): `python ROSE_main.py -g HG38 -i peaks.gff -r h3k27ac.bam -c input.bam -s 12500 -t 2500 -o rose_out/`
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add pku-yuangroup/openai4s/bio-chipseq-super-enhancers@sha256:acf240637c9895ab

The line at the top of this page pins the label git:20260821.2d1b678, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

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Versions

The registry has recorded 1 version of this file, committed on Aug 21, 2026.

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Audit of the latest version

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  • pass: Size between 200 bytes and 200 KB (16712 bytes)
  • pass: No zero-width or bidi control characters
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Source

GitHub

pku-yuangroup/openai4s · 662 stars · license MIT · pushed 2026-11-03 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_nxysdooti2scpaw3
GET https://markdownregistry.com/api/v1/resolve?ref=pku-yuangroup/openai4s/bio-chipseq-super-enhancers
GET https://markdownregistry.com/api/v1/blob/acf240637c9895ab3c701bdcd82ff6c644888f99fe8eb1c7dbd28e53186385f4

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Other files named bio-chipseq-super-enhancers

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