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Article

Dynamical Task Switching in Cellular Computers

1
School of Computing, Newcastle University, Newcastle Upon Tyne NE4 5TG, UK
2
Instituto de Biomedicina y Biotecnología de Cantabria, Universidad de Cantabria, 39011 Santander, Spain
3
Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, 28660 Madrid, Spain
4
Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
*
Author to whom correspondence should be addressed.
Received: 28 November 2018 / Revised: 23 December 2018 / Accepted: 23 January 2019 / Published: 26 January 2019
(This article belongs to the Special Issue Synthetic Biology: From Living Computers to Terraformation)
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. View Full-Text
Keywords: synthetic biology; cellular computing; plasmids synthetic biology; cellular computing; plasmids
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MDPI and ACS Style

Goñi-Moreno, A.; de la Cruz, F.; Rodríguez-Patón, A.; Amos, M. Dynamical Task Switching in Cellular Computers. Life 2019, 9, 14. https://doi.org/10.3390/life9010014

AMA Style

Goñi-Moreno A, de la Cruz F, Rodríguez-Patón A, Amos M. Dynamical Task Switching in Cellular Computers. Life. 2019; 9(1):14. https://doi.org/10.3390/life9010014

Chicago/Turabian Style

Goñi-Moreno, Angel; de la Cruz, Fernando; Rodríguez-Patón, Alfonso; Amos, Martyn. 2019. "Dynamical Task Switching in Cellular Computers" Life 9, no. 1: 14. https://doi.org/10.3390/life9010014

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