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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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Matt Hancock, the UK health secretary, is calling for the swift rollout of predictive genetic tests, the Guardian reports.

A WHO panel is calling for a global registry of human germline gene-editing projects, according to Stat News.

Vox writes that lab mishaps involving pathogens are quite common.

In Genome Biology this week: analysis of wild and cultivated peach genomes, Hi-C-based pipeline for assembling microbial genomes from metagenomic data, and more.

Mar
28
Sponsored by
Qiagen

The Human Gene Mutation Database (HGMD) is a manually curated, comprehensive collection of disease-causing, germline mutations. Since 1996, a team of experts has manually catalogued over a quarter of a million mutations for the database.  

Apr
09
Sponsored by
Sophia Genetics

This webinar will present the utility of a personalized in silico analytical approach for the routine clinical diagnosis of channelopathies and cardiomyopathies.