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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An analysis of UK Biobank data finds hemochromatosis to be more prevalent than thought, according to the BBC.

An analysis finds that female biomedical researchers receive fewer prizes than male ones, and when they do win prizes, they are less prestigious.

In Nature this week: improved genomic analysis using a graph genome reference, tumor mutational burden could predict clinical response to immune checkpoint inhibitors, and more.

Federal researchers tell the Los Angeles Times that the shutdown is causing missed research opportunities as they try to keep their experiments going.

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