A breakthrough to better represent human genetic diversity

To contribute to the consortium’s efforts, Google engineers helped develop and apply deep learning approaches to solve genomics challenges. Engineers adapted their open-source tool DeepVariant, which uses convolutional neural networks to identify genetic variants. The consortium then used the adapted methods to improve pangenome analysis techniques and eliminate sequencing errors from the long, particularly hard-to-decode…


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