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NEW YORK (GenomeWeb) – By combining whole-genome sequencing and artificial intelligence-based analysis, researchers have reported that they were able to quickly identify clinically actionable mutations within a brain tumor sample.

Researchers from the New York Genome Center, Rockefeller University, and IBM analyzed a glioblastoma sample through panel testing as well as whole-genome sequencing. That sequencing data was then analyzed by a team of bioinformaticians and oncologists at the center as well as by IBM's Watson for Genomics.

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Russia says its candidate SARS-CoV-2 vaccine has a very high efficacy rate in an initial analysis of clinical trial data, according to the Financial Times.

Wired reports on a microbial analysis of sketches drawn by Leonardo DaVinci.

A new survey explores coronavirus vaccine hesitancy among Black and Latino individuals, the Washington Post reports.

In Nucleic Acids Research this week: the Aging Atlas database, a database of human metagenome-related metadata, and more.

Dec
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Diverse components of the UC Davis campus have been mobilized to deploy HTP testing to provide a safe working environment and keep the pandemic under control.