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AI trained on 9 trillion DNA letters predicts harmful mutations and designs new genomes
By Hugo Francisco de Souza Trained on genomic data spanning the tree of life, Evo 2 reveals how artificial intelligence can ...
Researchers use long-read genome sequencing to discover 33% more structural variants and 38% more tandem repeats linked to autism spectrum disorder.
News-Medical.Net on MSN
Long-read whole genome sequencing uncovers new genetic variants linked to autism
Researchers at the University of California San Diego have identified new genetic variants associated with autism spectrum disorder (ASD) by using long-read whole genome sequencing (LR-WGS), an ...
The William H. Foege Genome Sciences Building at the University of Washington School of Medicine in Seattle contains laboratories, sequencers, computational facilities, and other resources for ...
A new study has punctured a longstanding assumption about the source of the most common type of DNA mutation seen in the genome--one that contributes to many genetic diseases, including cancer. A ...
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New mutation hotspot discovered in human genome
Researchers have discovered new regions of the human genome particularly vulnerable to mutations. These altered stretches of DNA can be passed down to future generations and are important for how we ...
Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...
A Targeted Methylation–Based Multicancer Early Detection Blood Test Preferentially Detects High-Grade Prostate Cancer While Minimizing Overdiagnosis of Indolent Disease Enzymatic conversion–mediated ...
This article was published in Scientific American’s former blog network and reflects the views of the author, not necessarily those of Scientific American All cancers share ten underlying principles, ...
The presence or absence of remaining foreign DNA from the crossbred progeny of the genome-edited crop and the original crop cultivar can be determined by GenEditScan, based on the k-mer method.
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