Bacterial computing with engineered populations

Author:

Amos Martyn1,Axmann Ilka Maria2,Blüthgen Nils3,de la Cruz Fernando4,Jaramillo Alfonso5,Rodriguez-Paton Alfonso6,Simmel Friedrich7

Affiliation:

1. School of Computing, Mathematics and Digital Technology, Manchester Metropolitan University, Manchester M1 5GD, UK

2. Institut für Synthetische Mikrobiologie, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany

3. Institut für Pathologie, Charite-Universitätsmedizin Berlin, Berlin, Germany

4. Intergenomics Group, Instituto de Biomedicina y Biotecnología de Cantabria, Universidad de Cantabria, Cantabria, Spain

5. School of Life Sciences, University of Warwick, Coventry CV4 7AL, UK

6. Laboratorio de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid 28040, Spain

7. Systems Biophysics and Bionanotechnology, Technische Universität München, München, Germany

Abstract

We describe strategies for the construction of bacterial computing platforms by describing a number of results from the recently completed bacterial computing with engineered populations project. In general, the implementation of such systems requires a framework containing various components such as intracellular circuits, single cell input/output and cell–cell interfacing, as well as extensive analysis. In this overview paper, we describe our approach to each of these, and suggest possible areas for future research.

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

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