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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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University of Idaho researchers model the scientific discovery process to examine the link between reproducibility and scientific truth.

A bill passed by a US House of Representatives appropriations subcommittee would give scientific agencies including the National Science Foundation boosts in funding.

Relocating USDA agencies outside of Washington, DC, may make them less effective, critics of the move tell NPR.

In PLOS this week: genes that help Borrelia burgdorferi survive in ticks, CiliaCarta collection of about 1,000 suspected cilia genes, and more.

Jun
17
Sponsored by
Illumina

This webinar will provide an overview of polygenic risk scores, which aggregate dozens of genetic variants that have been linked to disease risk in genome-wide association studies (GWAS) into a single score.