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Researchers from the US and Colombia present an algorithm called STing, designed for analyzing microbial genome sequence data to pick out molecular sequence types, gene sequences, and other key features in the bugs. The method improves on a prior k-mer matching algorithm known as stringMLST, the team says, using tweaks intended to help scale up genome-based molecular typing without losing speed or accuracy.

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A survey by Nature finds that most researchers want scientific meetings to continue virtually or with a virtual component, even after the pandemic ends.

Bloomberg reports that the B.1.351 SARS-CoV-2 viral variant could prompt the formulation of better vaccines.

Certain blood proteins may be able to distinguish COVID-19 patients who will become critically ill from those who will not, the Atlanta Journal-Constitution reports.

In Genome Biology this week: algorithm to assess regulatory features, approach to integrate multiple single-cell RNA-seq datasets, and more.