Article type: Research Article
Authors: Deaton, Russell | Garzon, Max | Rose, John | Franceschetti, D.R. | Stevens, S.E.
Affiliations: Electrical Engineering, The University of Memphis, Memphis, TN, USA. rjdeaton@memphis.edu | Computer Science, The University of Memphis, Memphis, TN, USA. garzonm@hermes.msci.memphis.edu | Electrical Engineering, The University of Memphis, Memphis, TN, USA. jrose@lear.csp.ee.memphis.edu | Physics, The University of Memphis, Memphis, TN, USA. dfrncsch@memphis.edu | Microbiology and Molecular Cell Sciences, The University of Memphis, Memphis, TN, USA. estevens@cc.memphis.edu
Note: [] Address for correspondence: Electrical Engineering, The University of Memphis, Memphis, TN, USA
Note: [] Address for correspondence: Electrical Engineering, The University of Memphis, Memphis, TN, USA
Note: [] Address for correspondence: Electrical Engineering, The University of Memphis, Memphis, TN, USA
Note: [] Address for correspondence: Electrical Engineering, The University of Memphis, Memphis, TN, USA
Note: [] Address for correspondence: Electrical Engineering, The University of Memphis, Memphis, TN, USA
Abstract: DNA computing holds out the promise of important and significant connections between computers and living systems, as well as promising massively parallel computations. Before these promises are fulfilled, however, important challenges related to errors and practicality have to be addressed. On the other hand, new directions toward a synthesis of molecular evolution and DNA computing might circumvent the problems that have hindered development, so far.
DOI: 10.3233/FI-1998-35123413
Journal: Fundamenta Informaticae, vol. 35, no. 1-4, pp. 231-245, 1998
