Computing with bacterial constituents, cells and populations: from bioputing to bactoputing - Université d'Évry Access content directly
Journal Articles (Review Article) Theorie in den Biowissenschaften / Theory in Biosciences Year : 2011

Computing with bacterial constituents, cells and populations: from bioputing to bactoputing

1 AMMIS - Assemblages moléculaires : modélisation et imagerie SIMS
2 LISYC - Laboratoire d'Informatique des Systèmes Complexes
3 LRI - Laboratoire de Recherche en Informatique
4 AMIB - Algorithms and Models for Integrative Biology
5 Département Science et Analyse des Matériaux - SAM (Belvaux, Luxembourg)
6 Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
7 UBO - Université de Brest
8 TAU - School of Physics and Astronomy [Tel Aviv]
9 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe BIOINFO
10 LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
11 BEAGLE - Artificial Evolution and Computational Biology
12 TIMC-IMAG-BCM - Biologie Computationnelle et Mathématique
13 IRCAM - Institut de Recherche et Coordination Acoustique/Musique
14 MuTant - Synchronous Realtime Processing and Programming of Music Signals
15 AGIM - AGeing and IMagery
16 LIASD - Laboratoire d'Informatique Avancée de Saint-Denis
17 Department of Physics and Astronomy [Leicester]
18 Department of Biological Sciences [Idaho]
19 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
20 MPI-MiS - Max Planck Institute for Mathematics in the Sciences
21 Santa Fe Institute
22 Génopole [Evry]
23 LACL - Laboratoire d'Algorithmique Complexité et Logique
24 SysDiag - Sysdiag-Modélisation et Ingénierie des Systèmes Complexes Biologiques pour le Diagnostic
25 Enrico Fermi - Dipartimento di Fisica
Eric Fanchon
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  • PersonId : 949973
Nicolas Glade
  • Function : Author
Francois Kepes
  • Function : Author

Abstract

The relevance of biological materials and processes to computing-alias bioputing-has been explored for decades. These materials include DNA, RNA and proteins, while the processes include transcription, translation, signal transduction and regulation. Recently, the use of bacteria themselves as living computers has been explored but this use generally falls within the classical paradigm of computing. Computer scientists, however, have a variety of problems to which they seek solutions, while microbiologists are having new insights into the problems bacteria are solving and how they are solving them. Here, we envisage that bacteria might be used for new sorts of computing. These could be based on the capacity of bacteria to grow, move and adapt to a myriad different fickle environments both as individuals and as populations of bacteria plus bacteriophage. New principles might be based on the way that bacteria explore phenotype space via hyperstructure dynamics and the fundamental nature of the cell cycle. This computing might even extend to developing a high level language appropriate to using populations of bacteria and bacteriophage. Here, we offer a speculative tour of what we term bactoputing, namely the use of the natural behaviour of bacteria for calculating.

Dates and versions

hal-00643738 , version 1 (22-11-2011)

Identifiers

Cite

Vic Norris, Abdallah Zemirline, Patrick Amar, Jean Nicolas Audinot, Pascal Ballet, et al.. Computing with bacterial constituents, cells and populations: from bioputing to bactoputing. Theorie in den Biowissenschaften / Theory in Biosciences, 2011, 130 (3), pp.211-228. ⟨10.1007/s12064-010-0118-4⟩. ⟨hal-00643738⟩
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