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With advances in synthetic biology and genome engineering comes a heightened awareness of potential misuse related to biosafety concerns. A recent study employed machine learning to identify the lab-of-origin of DNA sequences to help mitigate some of these concerns. Despite their promising results, this deep learning based approach had limited accuracy, is computationally expensive to train, and wasn't able to provide the precise features that were used in its predictions. To address thesedoi:10.1101/2020.05.22.110270 fatcat:go2fx62wozbgtfvs3stvk4ewfy