Google Touts Speed, Accuracy From Machine Learning in DeepVariant

CHICAGO (GenomeWeb) – Evidence published in the journal Nature Biotechnology in September demonstrated the efficacy of DeepVariant, Google's deep-learning-based variant caller, compared to older previous methods of calling genomic variants. DeepVariant "replaces the assortment of statistical modeling components with a single deep-learning model," according to the paper, whose authors represented Google and sister company Verily.