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.

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A new study finds that a placental protein linked with preeclampsia can be targeted by RNA silencing, according to the New Scientist.

A settlement is expected in a Duke University lawsuit hinging on using falsified data to win grants, Retraction Watch and Science report.

In PNAS this week: approach for analyzing the expression of endogenous retroviruses, circular RNAs that influence host-virus interactions, and more.

A phylogenetic analysis finds that the rare hemimastigotes form their own supra-kingdom, CBC reports.