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CNNScoreVariants
Annotates a VCF with scores from a Convolutional Neural Network.
What is CNNScoreVariants?
Annotates a VCF with scores from a Convolutional Neural Network. Streams variants and their reference context to a Python program that evaluates a pre-trained neural network on each variant. Supports 1D models (reference sequence convolutions combined with variant annotations via a multilayer perceptron) and 2D models (convolutions over aligned reads, reference sequence, and variant annotations). Pre-trained 1D and 2D models are included in the distribution; users can also train custom models with CNNVariantWriteTensors and CNNVariantTrain.
Product typeHealthcare Data & Research
Pricing ·
DeploymentSelf-hosted · On-premises
APINot available
What teams use CNNScoreVariants for
Variant filtering
Annotating VCF files with CNN-based scores
Applying pre-trained 1D and 2D neural network models to variants
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.
