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In this week's PNAS Early Edition, an international team led by investigators at Yonsei University present RiceNet, "an experimentally tested genome-scale gene network for a monocotyledonous species." The authors say RiceNet can also "accurately predict gene function in another major monocotyledonous crop species, maize," and further, that it could facilitate the "engineering of pathways critical to crop productivity."

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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.