GenoScan-LLM is a foundation model for whole-genome variant calling. Trained on 200K+ genomes, it flags pathogenic variants at clinical-grade sensitivity.
GenoScan-LLM is an 800M parameter foundation model for variant calling. Given aligned reads or a target region, it identifies SNVs, small indels, and structural variants, then classifies them by pathogenicity with clinical-grade sensitivity.
At a glance
Field
Value
Category
Genomics
Parameters
800M
Version
v2.0
Endpoint
POST /v1/models/genoscan-llm/predict
Training data
200,000+ genomes across ancestry-balanced cohorts
Install
pip install bunker-fold
See Installation for full setup, including uv and poetry.
When to use
Call variants from whole-genome or targeted panel data.
Flag pathogenic variants in a clinical reporting workflow.
Reprioritize a VCF against updated pathogenicity evidence.
Signed URL or S3 path to a BAM, CRAM, or VCF file.
string
required
One of BAM, CRAM, or VCF.
string
Optional gene symbol used to prioritize functional annotation.
number
Average coverage depth. Used to calibrate confidence thresholds.
Response fields
integer
Total number of variants called in the region.
array
List of variants with identifier, HGVS notation, and pathogenicity classification.
Show variant fields
string
dbSNP identifier where available.
string
HGVS coding notation.
string
One of pathogenic, likely_pathogenic, uncertain, likely_benign, benign.
integer
ACMG classification from 1 (benign) to 5 (pathogenic).
number
Model confidence in the classification, between 0 and 1.
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