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Par Google →
A neural-network analysis pipeline for genetic variant calling from sequencing data. Select the model for the sequencing platform and validate against suitable truth data.
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A neural-network analysis pipeline for genetic variant calling from sequencing data. Select the model for the sequencing platform and validate against suitable truth data.
Informations confrontées à une source officielle ; pas un banc d’essai expérimental. Source · Dernière vérification : 14/09/2026, 18:31:56 UTC
Use this citation format when referencing DeepVariant in scientific publications and benchmark papers.
@software{deepvariant_2026,
title = {{DeepVariant}},
author = {{Google}},
year = {2026},
url = {https://google.github.io/deepvariant/},
note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}Live scientific citations queried from Europe PMC and PubMed for DeepVariant.
Missing values mean the catalog has no recorded information. They do not mean a feature is absent.
Project documentation; editorial evaluation plan · Choose the sequencing-platform model and compare to appropriate reference truth data; this is not clinical interpretation.
DeepVariant Scientific Architecture · Credit: Google · Open original ↗
Research and editorial use Source & attribution ↗ License ↗
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