In this blogpost I explain the architecture of DeepVariant (Google Brain team). Published in 2018, DeepVariant is a neural network-based variant caller that discovers genomic variants with 99.9% accuracy. A universal SNP and small-indel variant caller using deep neural networks   —2018 Unlike Bayesian-based variant callers (e.g., HaplotypeCaller), DeepVariant discovers SNPs and INDELs regardless of the sequencing technology used: Illumina short reads PacBio long reads Oxford