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DNA Cellular Automata

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Designing Beauty: The Art of Cellular Automata

Part of the book series: Emergence, Complexity and Computation ((ECC,volume 20))

Abstract

The elementary cellular automata (CA) evolution rule can be extracted from a given number of CA evolution patterns and this can also be applied to the CAs that model DNA sequences. We map DNA to CA in such manner that sugar-phosphate backbone of a DNA molecule corresponds to the CA lattice and the organic bases to the CA cells. At each position of the lattice one of the four bases A (Adenine), C (Cytosine), T (Thymine) and G (Guanine) of the DNA molecule may be allocated, corresponding to the four possible states of the CA cell.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece

    Charilaos Mizas, Georgios Ch. Sirakoulis, Vasilios Mardiris & Ioannis Karafyllidis

  2. Department of Molecular Biology and Genetics, Democritus University of Thrace, Xanthi, Greece

    Nicholas Glykos & Raphael Sandaltzopoulos

Authors
  1. Charilaos Mizas
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  2. Georgios Ch. Sirakoulis
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  3. Vasilios Mardiris
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  4. Ioannis Karafyllidis
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  5. Nicholas Glykos
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  6. Raphael Sandaltzopoulos
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Corresponding author

Correspondence to Charilaos Mizas .

Editor information

Editors and Affiliations

  1. Unconventional Computing Centre, University of the West of England, Bristol, United Kingdom

    Andrew Adamatzky

  2. Unconventional Computing Centre, University of the West of England, BRISTOL, Avon, United Kingdom

    Genaro J. Martínez

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© 2016 Springer International Publishing Switzerland

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Mizas, C., Sirakoulis, G.C., Mardiris, V., Karafyllidis, I., Glykos, N., Sandaltzopoulos, R. (2016). DNA Cellular Automata. In: Adamatzky, A., Martínez, G. (eds) Designing Beauty: The Art of Cellular Automata. Emergence, Complexity and Computation, vol 20. Springer, Cham. https://doi.org/10.1007/978-3-319-27270-2_21

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  • DOI: https://doi.org/10.1007/978-3-319-27270-2_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27269-6

  • Online ISBN: 978-3-319-27270-2

  • eBook Packages: EngineeringEngineering (R0)

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