A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Allelica, a precision medicine company focused on genomic risk assessment for common diseases, today announced that it has entered into a commercial license agreement with Cambridge Enterprise, the ...
Deep learning methods such as multilayer perceptrons (MLPs) and convolutional neural networks (CNNs) have been applied to predict the complex traits in animal and plant breeding. However, it remains ...
In the face of climate change, apple breeding programs need innovative ways to select cultivars that can thrive under diverse conditions. A recent study demonstrates how integrating genomic data with ...
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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 ...
Alphabet Inc.’s Google DeepMind today introduced AlphaGenome, a new artificial intelligence tool that can comprehensively predict how mutations or variants in human DNA sequences impact gene ...
Nucleus Genomics claims to give couples a picture of their combined risk for passing down hundreds of conditions to their ...
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