bio-chipseq-motif-analysis SKILL.md skillA

bio-chipseq-motif-analysis 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-motif-analysis@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-motif-analysis/SKILL.md
Versions recorded
1
Latest version
git:20260821.2d1b678, committed Aug 21, 2026
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17,071 bytes
Repository stars
662
License
MIT

Discovers de novo motifs and tests known motif enrichment in ChIP-seq, ATAC-seq, or other peak sequences using HOMER, MEME-ChIP (STREME, CentriMo, TOMTOM, FIMO), monaLisa, and AME. Handles background selection (GC-matched, dinucleotide-shuffled, Markov order-2, peak-flanks), motif databases (JASPAR 2024 CORE PWMs, JASPAR 2026 deep-learning collection, HOCOMOCO v12, HOMER built-in), centrally-enriched motif testing, and differential motif analysis. Use when identifying TF binding motifs in…

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: HOMER 4.11+, MEME suite 5.5+ (STREME replaces DREME from 5.4+), monaLisa 1.10+, JASPAR 2024 CORE, HOCOMOCO v12, BioPython 1.83+, bedtools 2.31+.

DREME was removed from MEME suite 5.4+; use STREME instead. Some tutorials still reference DREME — verify the installed version via `meme --version`. JASPAR 2026 (released late 2025) integrates 1259 BPNet ChIP models in a Deep Learning collection; the CORE collection remains the standard PWM source.

# Motif Analysis on ChIP-seq Peaks

**"Find enriched DNA binding motifs in my ChIP-seq peaks"** -> Discover de novo motif patterns and test for known TF motif enrichment in peak sequences, with appropriate background to control for compositional and positional biases.

- CLI (HOMER, fast): `findMotifsGenome.pl peaks.bed hg38 outdir/ -size 200 -p 8`
- CLI (MEME-ChIP, comprehensive): `meme-chip -db JASPAR.meme peaks.fa`
- R (regression-based, selective enrichment): `monaLisa::calcBinnedMotifEnrR(seqs, bins, pwms)`
- CLI (deep-learning-derived motifs): TF-MoDISco on BPNet attribution scores (see chip-deep-learning)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add pku-yuangroup/openai4s/bio-chipseq-motif-analysis@sha256:0ae2ddaafff2222a

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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git:20260821.2d1b678 latest2026-08-21 2d1b678 17,071 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (17071 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
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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_ghq5weyp6hfom2gh
GET https://markdownregistry.com/api/v1/resolve?ref=pku-yuangroup/openai4s/bio-chipseq-motif-analysis
GET https://markdownregistry.com/api/v1/blob/0ae2ddaafff2222a567c574b8f69170b7f0b8dac61b315f6e20f64fef261c6a8

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