Article
Rethinking DeepVariant: Efficient Neural Architectures for Intelligent Variant Calling.
International journal of molecular sciences - 4 Jan 2026
Gurianova Anastasiia, Pestruilova Anastasiia, Beliaeva Aleksandra, Kasianov Artem, Mikhailova Liudmila, Guguchkin Egor, Karpulevich Evgeny
Abstract excerpt
DeepVariant has revolutionized the field of genetic variant identification by reframing variant detection as an image classification problem. However, despite its wide adoption in bioinformatics workflows, the tool continues to evolve mainly through the expansion of training datasets, while its core neural network architecture-Inception V3-has remained unchanged. In this study, we revisited the DeepVariant design...
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