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In Genome Research this week, Michael Brudno and his colleagues at the University of Toronto describe a method to detect copy-number variation via mated short reads, wherein "matepairs mapping discordantly to the reference serve to indicate the presence of variation." CNVer — the team's algorithm — combines this information and allows researchers to "mitigate the sequencing biases that cause uneven local coverage and accurately predict CNVs." Brudno et al.

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The Washington Post reports that the CDC's SARS-CoV-2 test issues reflect earlier ones it had with Zika virus testing.

NPR writes that even with thousands of new COVID-19 papers, each should be evaluated based on its own quality.

Researchers traced a gene cluster linked to COVID-19 severity to Neanderthals, the New York Times reports.

In PNAS this week: soil bacteria-derived small molecules affect centrosomal protein, microfluidics approach for capturing circulating tumor cells, and more.