Transfer learning meets livestock genomics

Researchers at Peter the Great St. Petersburg Polytechnic University (SPbPU) have developed a new computational method that predicts harmful mutations in mammalian species. As more livestock producers are using genetic tests to improve their herds, this method will help to optimize and guide the animal breeding programmes, as well as increase the profitability and yields of livestock. Published in Evolutionary Applications, the method follows closely in the footsteps of the most recent innovations in human genomics and translates the knowledge about genetics risk factors in humans to companion animals, thus having a transformative potential for genetics and genomics of livestock species.

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