Predicting new pandemics through data analysis of recombinant virus genomes

A study published in Nature Communications presents the promising results of RecombinHunt, a new data-driven method developed by the Department of Electronics, Information and Bioengineering of the Politecnico di Milano and the University of Milan, which can identify, with high accuracy and computational efficiency, recombinant SARS-CoV-2 genomes with one or two breakpoints. Recombination, that is, the composition of two or more viral genomes to form a new genome, is an efficient molecular mechanism for virus evolution and adaptation. Exploiting the incentive of the COVID-19 pandemic, several methods have been proposed Read More

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