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In a recent study published in PNAS, scientists at the University of Zurich used statistical models to examine how evolutionary innovation in gene expression patterns is maintained. By studying graphs of genotypes for regulatory networks and resulting phenotypes, they found that there are many random genotypes that exist side by side and lead to the same phenotype, proof that in the long term, genetic mutations in regulatory networks lead to robust phenotypes.

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Researchers in India plan to sequence SARS-CoV-2 isolates from around the country, according to LiveMint.

Mauro Ferrari has resigned as president of the European Research Council over its response to the COVID-19 pandemic, the Financial Times reports.

Stat News reports some health tech startups are laying off or furloughing workers.

In Genome Research this week: indels affecting microsatellites in cancer, analytical approach to find key regulatory elements, and more.