name: borzoi description: > Predict genome-wide functional tracks (RNA-seq, CAGE, DNase, ChIP) from DNA sequence with Borzoi. Use this skill when: (1) Scoring the regulatory effect of a variant on expression/accessibility, (2) Generating predicted coverage tracks for a locus, (3) Prioritising non-coding variants by predicted track delta. license: Apache-2.0 category: biomodels requirements: [gpu] metadata:
SKILL.md loads johahi/borzoi-replicate-0 — a PyTorch port of Calico's
Borzoi ("ported weights (with permission)"). The HuggingFace model card
for that exact artifact states License: cc-by-4.0. Calico's CODE repo is
Apache-2.0, but the weights the skill downloads carry CC-BY-4.0. The model
card is where the license is declared (info_url — not a ToU page).
verified 2026-06-30
third_party: - kind: weights name: Borzoi (PyTorch port) provider: Calico Life Sciences license: CC-BY-4.0 info_url: https://huggingface.co/johahi/borzoi-replicate-0
Borzoi — DNA → Functional Track Prediction
Prerequisites
| Requirement | Minimum | Recommended |
|---|---|---|
| Python | 3.10+ | 3.11 |
| CUDA | 12.1+ | 12.4+ |