Title :
Towards a DNA solution to the shortest common superstring problem
Author :
Gloor, Greg ; Kari, Lila ; Gaasenbeek, Michelle ; Yu, Sheng
Author_Institution :
Dept. of Biochem., Univ. of Western Ontario, London, Ont., Canada
Abstract :
This paper proposes a DNA algorithm for solving an NP-complete problem (the shortest common superstring problem) by manipulation of biomolecules, and presents partial results of the experiment that implements our algorithm. We also discuss practical constraints that have to be taken into account when implementing the algorithm, propose a coding system as a solution to these practical restrictions, and discuss the control experiments performed for establishing the parameters controlling the specificity of the assay
Keywords :
DNA; biocomputers; encoding; parallel algorithms; simulated annealing; string matching; DNA algorithm; DNA annealing; DNA computing; NP-complete problem; coding; shortest common superstring problem; Biochemistry; Biology computing; Computational biology; Computer science; Control systems; DNA computing; Molecular biophysics; Molecular computing; NP-complete problem; Power supplies;
Conference_Titel :
Intelligence and Systems, 1998. Proceedings., IEEE International Joint Symposia on
Conference_Location :
Rockville, MD
Print_ISBN :
0-8186-8548-4
DOI :
10.1109/IJSIS.1998.685431