Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how optimized genomic prediction models can reliably forecast flowering time, yield ...
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Computational approach improves genomic prediction accuracy of agronomically relevant traits
Advances in high-throughput phenotyping (HTP) platforms together with genotyping technologies have revolutionized breeding of varieties with desired traits relying on genomic prediction. Yet, we lack ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Sorghum plants from the Sorghum Association Panel growing in an Iowa State University research field near Ames in 2021. Photo by Jianming Yu/Iowa State University. A team led by an Iowa State ...
In a new Northwestern Medicine study, scientists have developed a more precise genetic risk score to determine whether a person is likely to develop arrhythmia, an irregular heartbeat that can lead to ...
Researchers at Baylor College of Medicine and the Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital (Duncan NRI) have created a new way to measure genetic variants in the ...
A nationwide Australian pilot screened more than 10,000 adults aged 18–40 years for high-risk genetic variants linked to ...
Myriad Genetics, Inc. announced that its MyRisk® Hereditary Cancer Test with RiskScore® was recognized in the American Journal of Human Genetics as one of the top 10 significant advances in genomic ...
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