DeepVariant
Deep-learning variant caller that classifies pileup images with a convolutional network.
Results are recorded on linked configurations and versions of this model. Their settings and evaluations are kept separate below.
Results on linked records
This model has no results of its own in this release. 2 linked records have results. They are not assigned to the underlying model: each record keeps its own settings and evaluations, and its scores are on its own page.
- DeepVariant v1.10-beta GPU mode (Zheng et al. 2026) Configuration · configuration · 2 evaluations · 40 results
- DeepVariant, accuracy runs (Zheng et al. 2026 Supplementary Table 3) Configuration · configuration · 2 evaluations · 90 results
Overview
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Evidence
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Evidence table
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Sources and history
Release 2026-10-22-1b7cf027e4f6 · Record review: source checked
1 source record and release history
- Accelerated long-read variant calling with Clair3 for whole-genome sequencing · Original source · Bioinformatics 42(5), published 2026-04-10; PMC13141153 full-text XML
Technical metadata and extraction receipts
Stable ID: model-execution-20261011-model-deepvariant
- areas
- dna-genomes
- contexts
- research
- method types
- supervised_machine_learning
- reported name
- DeepVariant
- entity level
- family
- source locator
- Introduction; Supplementary Notes 'Running DeepVariant'
- missing metadata
- version: reason: inapplicable; note: Family record; versions are on configurations
Related records
- configuration of: DeepVariant v1.10-beta GPU mode (Zheng et al. 2026)
- configuration of: DeepVariant, accuracy runs (Zheng et al. 2026 Supplementary Table 3)