Cargando…
Analysis of the first genetic engineering attribution challenge
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 Eng...
Autores principales: | Crook, Oliver M., Warmbrod, Kelsey Lane, Lipstein, Greg, Chung, Christine, Bakerlee, Christopher W., McKelvey, T. Greg, Holland, Shelly R., Swett, Jacob L., Esvelt, Kevin M., Alley, Ethan C., Bradshaw, William J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712580/ https://www.ncbi.nlm.nih.gov/pubmed/36450726 http://dx.doi.org/10.1038/s41467-022-35032-8 |
Ejemplares similares
-
A machine learning toolkit for genetic engineering attribution to facilitate biosecurity
por: Alley, Ethan C., et al.
Publicado: (2020) -
The biosecurity benefits of genetic engineering attribution
por: Lewis, Gregory, et al.
Publicado: (2020) -
Insidious Insights: Implications of viral vector engineering for pathogen enhancement
por: Sandbrink, Jonas B., et al.
Publicado: (2022) -
Bidirectional contact tracing could dramatically improve COVID-19 control
por: Bradshaw, William J., et al.
Publicado: (2021) -
COVID‐19 and the gain of function debates: Improving biosafety measures requires a more precise definition of which experiments would raise safety concerns
por: Warmbrod, Kelsey Lane, et al.
Publicado: (2021)