Author:
Goñi-Moreno Angel,de la Cruz Fernando,Rodríguez-Patón Alfonso,Amos Martyn
Abstract
We present a scheme for implementing a version of task switching in engineered bacteria, based on the manipulation of plasmid copy numbers. Our method allows for the embedding of multiple computations in a cellular population, whilst minimising resource usage inefficiency. We describe the results of computational simulations of our model, and discuss the potential for future work in this area.
Funder
Engineering and Physical Sciences Research Council
Horizon 2020
Ministerio de Economía y Competitividad
Consejería de Educación, Juventud y Deporte, Comunidad de Madrid
European Regional Development Fund
Ministerio de Ciencia y Tecnología
Subject
Paleontology,Space and Planetary Science,General Biochemistry, Genetics and Molecular Biology,Ecology, Evolution, Behavior and Systematics
Cited by
5 articles.
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