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Analysis of the first Genetic Engineering Attribution Challenge
[article]
2021
arXiv
pre-print
The ability to identify the designer of engineered biological sequences -- termed genetic engineering attribution (GEA) -- would help ensure due credit for biotechnological innovation, while holding designers accountable to the communities they affect. Here, we present the results of the first Genetic Engineering Attribution Challenge, a public data-science competition to advance GEA. Top-scoring teams dramatically outperformed previous models at identifying the true lab-of-origin of engineered
arXiv:2110.11242v1
fatcat:6tqm4pj6ynfjlaqu45pixwuxvm