Zero-shot DNA variant effect prediction with 1M token context
Evo 2 is a 7B / 40B parameter DNA foundation model from Arc Institute and Stanford. Trained on 9 trillion base pairs across all domains of life, with a 1-million-token context window at single-nucleotide resolution. Predicts variant pathogenicity zero-shot — no fine-tuning required.
/v1/dna/evo2/variant-scoreimport requests
# Score a variant
result = requests.post(
"https://scirouter.ai/v1/dna/evo2/variant-score",
json={
"sequence": "ATCG...",
"variant_position": 1234,
"variant_allele": "T",
},
headers={"Authorization": "Bearer sk-sci-your-key"}
).json()["data"]
print(f"Variant score: {result['variant_score']}")
print(f"Interpretation: {result['interpretation']}")BRCA1 variant prioritization
Noncoding variant scoring
Novel DNA sequence generation
Comparative genomics