Skip to main content

Template Frame for DNA Computing

  • Conference paper
Computational Intelligence and Bioinformatics (ICIC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 4115))

Included in the following conference series:

  • 1409 Accesses

Abstract

The encoding problem is very crucial for the information processing based on DNA computing. The main difficulty lies in that it is hard to control the shift hybridization between DNA sequences. In this paper, a new data structure, named Template Frame, is proposed based on the template strategy. As the Template Frame provides an effective tool to map the various concatenations of code sequences with the template set, thus it can be used to tackle the shift distance problem.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Adleman., L.: Molecular Computations to Combinatorial Problems. Science 266, 1021–1024 (1994)

    Article  Google Scholar 

  2. Deaton, R., et al.: Genetic Search of Reliable Encodings for DNA-Based Computation. In: 1st Genetic Programming Conference, pp. 9–15. Stanford University (1996)

    Google Scholar 

  3. Deaton, R., et al.: Good Encodings for DNA-Based Solutions to Combinatorial Problems. DIMACS Series in Discrete Mathematics and Theoretical Computer Science 44, 247–258 (1999)

    MathSciNet  Google Scholar 

  4. Garzon, M., et al.: A New Metric for DNA Computing. In: Proceedings of the 2nd Annual Genetic Programming Conference, vol. 42, pp. 472–487 (1997)

    Google Scholar 

  5. Marathe, A., et al.: On Combinatorial DNA Code Design. DIMACS Series in Discrete Mathematics and Theoretical Computer Science 44, 75–87 (1999)

    Google Scholar 

  6. Li, M., et al.: DNA Word Design Strategy for Creating Sets of Noninteracting Oligonucleotides for DNA Microarrays. Langmuir 18, 805–812 (2002)

    Article  Google Scholar 

  7. Arita, M., et al.: Improving Sequence Design for DNA computing. In: Proceedings of the Genetic and Evolutionary Computation Conference, Las Vegas, pp. 875–882 (2000)

    Google Scholar 

  8. Arita, M., Kobayashi, S.: DNA Sequence Design Using Template. New Generation Comput. 20, 263–277 (2002)

    Article  MATH  Google Scholar 

  9. Arita, M., Kobayashi, S.: The Power of Sequence Design in DNA Computing. In: 4th International Conference on Computational Intelligence and Multimedia Applications, pp. 163–166 (2001)

    Google Scholar 

  10. Frutos, A.G., et al.: Demonstration of a Word Design Strategy for DNA Computing on Surface. Nucleic Acids Res. 25, 4748–4757 (1997)

    Article  Google Scholar 

  11. Liu, W., et al.: DNA Sequence Design Based on Template Strategy. J. Chem. Inf. Comput. Sci. 43, 2014–2018 (2003)

    Google Scholar 

  12. Reif, J.H., et al.: Experimental Construction of Very Large Scale DNA Databases with Associative Search Capability. LNCS, pp. 231–247. Springer, Heidelberg (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liu, W., Zhu, X. (2006). Template Frame for DNA Computing. In: Huang, DS., Li, K., Irwin, G.W. (eds) Computational Intelligence and Bioinformatics. ICIC 2006. Lecture Notes in Computer Science(), vol 4115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816102_34

Download citation

  • DOI: https://doi.org/10.1007/11816102_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37277-6

  • Online ISBN: 978-3-540-37282-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics