@inproceedings{30946b59c3c44dafaba4b96ba052c08f,
title = "Genetic code based coding and mathematical formulation for DNA computation",
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.",
author = "Mingjun Zhang and Cheng, {Maggie X.} and Tarn, {T. J.}",
year = "2006",
doi = "10.1109/ROBOT.2006.1642256",
language = "English (US)",
isbn = "0780395069",
series = "Proceedings - IEEE International Conference on Robotics and Automation",
pages = "3630--3635",
booktitle = "Proceedings 2006 IEEE International Conference on Robotics and Automation, ICRA 2006",
note = "2006 IEEE International Conference on Robotics and Automation, ICRA 2006 ; Conference date: 15-05-2006 Through 19-05-2006",
}