TotalVI: A transformative algorithm

aaron streets

Researchers co-led by Professor Aaron Streets have invented a computer algorithm that uses deep learning to integrate gene and protein data about single cells that were gathered from different tissues and donors and were processed in different labs. Part of a global effort to build a Human Cell Atlas (HCA), the new algorithm will allow integration of data from different types of experiments to compile detailed protein information.

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Lareau helps detect more infectious COVID variant at Berkeley

COVID evolutionary tree

Professor Liana Lareau has been co-leading the Innovative Genomics Institute effort to monitor mutations in the SARS-CoV-2 virus in the local community. The team’s rapid sequencing turnaround is crucial for tracking the spread of new variants, including the more infectious B.1.1.7 recently detected in two cases at Berkeley.

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How water helps the substrate into the enzyme

photo of water droplet

An international research team including Professor Teresa Head-Gordon have investigated why cages can increase the catalytic activity of enclosed molecules. Using terahertz spectroscopy and complex computer simulations, they showed that water encapsulated in a tiny cage has special properties that are structurally and dynamically distinct from any known phase of water.

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Cataloging Nature’s Hidden Arsenal: Viruses that Infect Bacteria

illustration of phages attacking cell

Adam Arkin is one of the leaders of a new approach for studying which bacterial receptors phages exploit to infect cells, and what cellular mechanisms the bacteria use to respond to a phage infection. These microscopic battles have implications for medicine development, agricultural research, and climate science.

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New CRISPR-based COVID-19 test uses smartphone cameras to spot virus RNA

photo of smartphone CRISPR covid test apparatus

Fletcher Lab, in collaboration with the Gladstone Institutes and Doudna Lab, have developed a new CRISPR-based COVID-19 diagnostic test that, with the help of a smartphone camera, can provide a positive or negative result in 15 to 30 minutes. This test also gives an estimate of viral load, or the number of virus particles in a sample, which can help doctors monitor the progression of a COVID-19 infection and estimate how contagious a patient might be.

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