An international research team has developed deep learning models that link gene sequence data with mRNA copy number for several plant species, allowing for the prediction of regulatory effects of gene sequence variation. This breakthrough has the potential to enhance crop breeding and create “smart crops” with improved quality and reduced environmental impact.
