Genetic code based coding and mathematical formulation for DNA computation

Mingjun Zhang, Maggie X. Cheng, T. J. Tarn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

DNA computation is to use DNA molecules for information storing and processing. Challenges currently faced by DNA computation are (1) lack of theoretical computational models for applications, and (2) high error rate for implementation. This paper attempts to address these problems from genetic coding and mathematical modeling aspects. The proposed genetic coding approach provides a promising alternative to reduce high error rate. The mathematical formulation lays down groundwork for studying theoretical aspects of DNA computation.

Original languageEnglish (US)
Title of host publicationProceedings 2006 IEEE International Conference on Robotics and Automation, ICRA 2006
Pages3630-3635
Number of pages6
DOIs
StatePublished - Dec 27 2006
Event2006 IEEE International Conference on Robotics and Automation, ICRA 2006 - Orlando, FL, United States
Duration: May 15 2006May 19 2006

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
Volume2006
ISSN (Print)1050-4729

Other

Other2006 IEEE International Conference on Robotics and Automation, ICRA 2006
CountryUnited States
CityOrlando, FL
Period5/15/065/19/06

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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