A machine learning toolkit for genetic engineering attribution to facilitate biosecurity

Abstract

The potential for accidental or deliberate misuse of biotechnology is of concern for international biosecurity. Here the authors apply machine learning to DNA sequences and associated phenotypic data to facilitate genetic engineering attribution and identify country-of-origin and ancestral lab of engineered DNA sequences.