Cargando…
Deep learning to predict the lab-of-origin of engineered DNA
Genetic engineering projects are rapidly growing in scale and complexity, driven by new tools to design and construct DNA. There is increasing concern that widened access to these technologies could lead to attempts to construct cells for malicious intent, illegal drug production, or to steal intell...
Autores principales: | Nielsen, Alec A. K., Voigt, Christopher A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6081423/ https://www.ncbi.nlm.nih.gov/pubmed/30087331 http://dx.doi.org/10.1038/s41467-018-05378-z |
Ejemplares similares
-
PlasmidHawk improves lab of origin prediction of engineered plasmids using sequence alignment
por: Wang, Qi, et al.
Publicado: (2021) -
Multi-input CRISPR/Cas genetic circuits that interface host regulatory
networks
por: Nielsen, Alec AK, et al.
Publicado: (2014) -
Remote labs in higher engineering education: engaging students with active learning pedagogy
por: Van den Beemt, Antoine, et al.
Publicado: (2022) -
A dry lab for medical engineers?
por: Rulli, Francesco, et al.
Publicado: (2009) -
At the mechanical engineering workshop in Lab II
por: CERN PhotoLab
Publicado: (1974)