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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,...
What is 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.
Product typeScientific Models
Pricing · Open Source
Deployment
APINot available
What teams use DeepVariant for
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
Integrations and access
Platforms, integrations, and language support vary by plan and region. Confirm final requirements with the vendor.
Platforms
IntegrationsAPI and webhooks
Languages
Support
What reviewers say
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Enterprise readiness
Compliance claims are normalized from current vendor documentation and independently reviewed by SOTA2.
Data retention:
Benchmarks and comparisons
Independent benchmarksStructured task results are being verified.
Side-by-side comparisonsComparison workspaces will be available in a later release.
