Computationally Inspired Biotechnologies: Improved DNA Synthesis and Associative Search Using Error-Correcting Codes and Vector-Quantization

@inproceedings{Reif2000ComputationallyIB,
  title={Computationally Inspired Biotechnologies: Improved DNA Synthesis and Associative Search Using Error-Correcting Codes and Vector-Quantization},
  author={John H. Reif and Thomas H. LaBean},
  booktitle={DNA Computing},
  year={2000}
}
The main theme of this paper is to take inspiration from methods used in computer science and related disciplines, and to apply these to develop improved biotechnology. In particular, our proposed improvements are made by adapting various information theoretic coding techniques which originate in computational and information processing disciplines, but which we re-tailor to work in the biotechnology context. (a) We apply Error-Correcting Codes, developed to correct transmission errors in… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 17 extracted citations

DNA Computing

Lecture Notes in Computer Science • 2003
View 10 Excerpts
Highly Influenced

Text Classifiers Evolved on a Simulated DNA Computer

2006 IEEE International Conference on Evolutionary Computation • 2006

Soundness and quality of semantic retrieval in DNA-based memories with abiotic data

Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753) • 2004

References

Publications referenced by this paper.

Looking for the DNA killer app

Nature Structural Biology • 1996

Similar Papers

Loading similar papers…