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AI foundation models trained on DNA could speed up plant research
A wave of AI foundation models built on plant DNA sequences is giving researchers new tools to annotate genomes, predict gene function, and measure crop traits faster than traditional methods allow.
In a recent study published in PNAS, researchers introduced the Genomic Pre-trained Network (GPN), a multispecies model developed to learn genome-wide variant effects by self-supervised pretraining on ...
Two stories just published provide a much different picture of how bacterial cells continually repair lesions in their DNA. Led by researchers from the NYU Grossman School of Medicine, the work ...
Two studies provide a radically new picture of how bacterial cells continually repair damaged sections (lesions) in their DNA. Two studies provide a radically new picture of how bacterial cells ...
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