Bacterial computing with engineered populations-Reference-Cited by-同舟云学术

Bacterial computing with engineered populations

Published:2015-07-28 Issue:2046 Volume:373 Page:20140218
ISSN:1364-503X
Container-title:Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
language:en
Short-container-title:Phil. Trans. R. Soc. A.

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

Link

https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2014.0218

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