DeepVariant
A deep learning-based variant caller that takes aligned reads in BAM or CRAM format, produces pileup image tensors, classifies each tensor using a convolutional neural network, and reports results in a standard VCF or gVCF file. Supports germline variant-calling in diploid organisms.
What it does
A deep learning-based variant caller that takes aligned reads in BAM or CRAM format, produces pileup image tensors, classifies each tensor using a convolutional neural network, and reports results in a standard VCF or gVCF file. Supports germline variant-calling in diploid organisms.
- germline variant-calling in diploid organisms
- NGS whole-genome and whole-exome variant calling
- PacBio HiFi variant calling
- Oxford Nanopore R10.4.1 Simplex variant calling
- hybrid PacBio HiFi + Illumina WGS variant calling
- pangenome-aware variant calling
- Category
- Scientific models
- Users
- genomics researchers, bioinformatics teams
- Public API
- Not offered
Not yet disclosed: deployment options, platforms, languages and support channels.
Pricing
- Free plan$0
Prices as published by DeepVariant, checked Oct 2026.
Security and compliance
No security details published yet
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Reviews
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