single-jc.php

JACIII Vol.19 No.1 pp. 5-10
doi: 10.20965/jaciii.2015.p0005
(2015)

Paper:

Run-Length Encoding Graphic Rules Applied to DNA-Coded Images and Animation Editable by Polymerase Chain Reactions

Yuki Hara and Tomonori Kawano

The University of Kitakyushu, 1-1 Hibikino, Wakamatsu-ku, Kitakyushu 808-0135, Japan

Received:
August 31, 2012
Accepted:
September 2, 2013
Published:
January 20, 2015
Keywords:
artificial gene, DNA animation, RLE
Abstract

We previously proposed novel designs for artificial genes as media for storing digitally compressed image data, specifically for biocomputing by analogy to natural genes mainly used to encode proteins. A run-length encoding (RLE) rule had been applied in DNA-based image data processing, to form coding regions, and noncoding regions were created as space for designing biochemical editing. In the present study, we apply the RLE-based image-coding rule to creation of DNAbased animation. This article consisted of three parts: (i) a theoretical review of RLE-based image coding by DNA, (ii) a technical proposal for biochemical editing of DNA-coded images using the polymerase chain reaction, and (iii) a minimal demonstration of DNAbased animation using simple model images encoded on short DNA molecules.

References
  1. [1] R. Dahm, “Discovering DNA: Friedrich Miescher and the early years of nucleic acid research,” Human Genetics, Vol.122, No.6, pp. 565-581, 2008.
  2. [2] O. Avery, C. MacLeod, and M. McCarty, “Studies on the chemical nature of the substance inducing transformation of pneumococcal types. Inductions of transformation by a desoxyribonucleic acid fraction isolated from pneumococcus type III,” J. Exper. Medicine, Vol.79, No.2, pp. 137-158, 1944.
  3. [3] J. D. Watson and F. H. Crick, “A structure for deoxyribose nucleic acid,” Nature, Vol.171, pp. 737-738, 1953.
  4. [4] E. A. Carlson, “Defining the gene: an evolving concept,” Amer. J. Human Genetics, Vol.49, No.2, pp. 475-487, 1991.
  5. [5] J. C. Venter et al., “The sequence of the human genome,” Science, Vol.291, pp. 1304-1351, 2001.
  6. [6] T. Kawano, “Run-length encoding graphic rules, molecular biologically editable designs, and steganographical on-image numeric data embedment for DNA-based cryptographical coding system,” Commun. Integr. Biol., Vol.6, No.2, e23478, 2013.
  7. [7] H. Rauhe, G. Vopper, U. Feldkamp, W. Banzhaf, and J. C. Howard, “Digital DNA molecules,” Proc. 6th DIMACS Workshop on DNA Based Computers, Leiden, Netherlands, pp. 13-17, 2000.
  8. [8] H. Wyle, T. Erb, and R. Banow, “Reduced-time facsimile transmission by digital coding,” IRE Trans. on Communication Systems, Vol.9, No.3, pp. 215-222, 1961.
  9. [9] T. Kawano, F. Bouteau, and S. Mancuso, “Finding and defining the natural automata acting in living plants: Towards the synthetic biology for robotics and informatics in vivo,” Commun. Integr. Biol., Vol.5, No.6, pp. 519-526, 2012.
  10. [10] T. Kawano, “Biomolecule-assisted natural computing approaches for simple polynomial algebra over fields,” ICIC Express Lett., Vol.7, No.7, pp. 2023-2028, 2013.
  11. [11] S. Blackmore, “The meme machine,” Oxford University Press, Oxford, UK, 1999.

*This site is desgined based on HTML5 and CSS3 for modern browsers, e.g. Chrome, Firefox, Safari, Edge, IE9,10,11, Opera.

Last updated on Dec. 12, 2017