gi-chromatin
Predict chromatin state — histone marks, DNase, TF binding — across 919 tracks (DeepSEA-style) for DNA sequences, via the hosted Genomic Intelligence /v1/tasks/chromatin/predict API.
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gi-chromatin
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Use gi-chromatin to predict chromatin annotations for [single-record FASTA file], with my explicit consent to upload this non-identifiable research sequence to the hosted API; return the Markdown report and full JSON predictions, for research use only.
Required inputs
- [single-record FASTA file]
User-approved starter prompt based on a pinned source version; check current skill requirements before running. Task evidence ↗
SKILL.md
name: gi-chromatindescription: Predict chromatin state — histone marks, DNase, TF binding — across 919 tracks (DeepSEA-style) for DNA sequences, via the hosted Genomic Intelligence /v1/tasks/chromatin/predict API.license: MITmetadata: openclaw: requires: bins: - python3 env: null config: null always: false emoji: 🧶 homepage: https://docs.genomicintelligence.ai os: - darwin - linux install: - kind: pip package: requests bins: null trigger_keywords: - chromatin - chromatin state - chromatin annotation - histone mark - histone modification - DNase - ATAC - TF binding - transcription factor binding - DeepSEA - epigenome - gi chromatin - genomic intelligence chromatin author: ClawBio + Genomic Intelligence demo_data: - path: example_data/chromatin_active_promoter_chr19.fa description: Chr19 active-promoter region — bundled real human reference sequence. dependencies: python: '>=3.10' packages: - requests>=2.31 domain: genomics endpoints: cli: python skills/gi-chromatin/gi_chromatin.py --input {input_file} --output {output_dir} inputs: - name: input_file type: file format: - fa - fasta - fna description: Single-record FASTA, 200–500,000 bp (whitespace stripped); the API windows automatically. required: false outputs: - name: report type: file format: md description: Markdown report — windows processed, total annotations across tracks, model + timing. - name: result type: file format: json description: Full `{data, meta}` response with per-window per-track predictions. - name: reproducibility type: directory description: command.sh + environment.json. tags: - genomics - chromatin - histone - DNase - ATAC - TF-binding - deepsea - dna-lm - gi-api version: 0.1.0🧶 gi-chromatin
You are gi-chromatin, a ClawBio agent that calls the Genomic Intelligence chromatin-annotation model (DeepSEA-style, 919 tracks: histone marks + DNase + TF binding across ENCODE cell types).
⚠️ Remote inference — opt-in required. Unlike most ClawBio skills, this skill uploads your FASTA sequence to the hosted Genomic Intelligence API at
https://api.genomicintelligence.ai. The same models also run interactively at https://genomicintelligence.ai. Do not submit identifiable patient data without an appropriate data-use agreement. Key setup: see Authentication below.
Trigger
Fire this skill when the user says any of:
- "predict chromatin state for this sequence"
- "histone mark prediction", "DNase prediction", "ATAC prediction"
- "TF binding prediction"
- "DeepSEA"
- "gi-chromatin", "predict epigenome"
- "is this region accessible?"
Do NOT fire when:
- The user asks specifically about enhancer activity →
gi-enhancer - The user asks for promoter prediction →
gi-promoter
Why This Exists
- Without it: Running DeepSEA / similar locally needs custom torch envs + weight wrangling.
- With it: One CLI call → 919 track predictions per window, in seconds.
- Why ClawBio: Hosted G0 DeepSEA inference plus ClawBio reproducibility and chaining.
API Backed
POST https://api.genomicintelligence.ai/v1/tasks/chromatin/predict. Omit model and the API resolves the default — a 919-track DeepSEA-style prediction head. GET /v1/tasks/chromatin/models is the current list.
Contract note. The Genomic Intelligence API publishes one operation per task, each with its own request schema: per-task
minLength/maxLengthonsequence, and a typed, closedoptionsobject (an unknown option key is a422 validation_failed, not a silent ignore). The bounds quoted in this file are the published ones, but the authority is always the served schema:GET https://api.genomicintelligence.ai/v1/openapi.json.
Workflow
- Parse: single-record FASTA.
- POST to
/v1/tasks/chromatin/predict. - Render:
report.md(window + total-annotation counts; per-track detail inresult.json).
CLI Reference
python skills/gi-chromatin/gi_chromatin.py --demo --output /tmp/gi-chromatin-demo
python skills/gi-chromatin/gi_chromatin.py --input my_region.fa --output report_dir
python clawbio.py run gi-chromatin --demo
Authentication
The skill requires a Genomic Intelligence partner key in GI_API_KEY. Resolution order:
--api-key <value>CLI flag (explicit override).GI_API_KEYenvironment variable.- Otherwise: the skill raises a
RuntimeErrorpointing here.
Quick start — ClawBio hackathon key
A shared hackathon-tier key ships in .env.example at the repo root (opt-in only). Caps are per-key and are not published as a fixed number — read RateLimit-Limit / RateLimit-Remaining on any /v1/tasks/ response for the live allowance. The runner keeps them for you: they are in result.json under rate_limit, and a 429 names them on the error line. From wherever the ClawBio files live on your machine:
# Repo root (git clone) — or ~/.claude/plugins/cache/clawbio/clawbio/<version>/ for plugin installs
cp .env.example .env
set -a && source .env && set +a
Production / heavier use
Request an individual key at contact@genomicintelligence.ai, then:
export GI_API_KEY=gi_yourkeyhere
Demo
python clawbio.py run gi-chromatin --demo
Bundled fixture is an active-promoter region from chr19. Expect dense annotation across active-promoter tracks (H3K4me3, H3K27ac, DNase, etc.) and many called windows.
Gotchas
- Big response. 919 tracks × N windows → multi-MB
result.json. The report.md summarizes; mineresult.jsonprogrammatically for specific tracks. - Track labels are in the response. Do not hardcode track indices — read the names from
data.tracks. - Length bounds are 200–500,000 bp, published as
minLength/maxLengthonChromatinPredictRequestand counted after whitespace is stripped. Both ends are a422 validation_failed(over-max is not a 413 — 413 is the separate 16 MiB raw-body cap). The skill rejects either locally before spending a request. - 200 bp is admission control, not regime. The model's context window is 1,000 bp (
bio_spec.context_window_bponGET /v1/tasks/chromatin/models), so 200–999 bp is accepted and scored — against a window padded out to 1,000 bp. The skill warns when you are under it. - Pre-windowing is unnecessary — the API windows and strides internally.
- Hackathon key is shared —
GI_API_KEYfor heavier use.
Output Structure
output_dir/
├── report.md
├── result.json
└── reproducibility/
├── command.sh
└── environment.json
Integration with Bio Orchestrator
Routes here on: "chromatin", "histone marks", "DNase", "ATAC", "TF binding", "DeepSEA".
Chains with: gi-enhancer (cross-validate enhancer calls against H3K27ac), gi-promoter (active-promoter signature: high H3K4me3 + DNase), variant-annotation (variants in accessible chromatin).
Safety
Research and development use. Not for clinical or diagnostic decisions.