Publication: DNA sequencing by hybridization via genetic search
Program
KU-Authors
KU Authors
Co-Authors
Blazewicz, Jacek
Swiercz, Aleksandra
Weglarz, Jan
Advisor
Publication Date
2006
Language
English
Type
Journal Article
Journal Title
Journal ISSN
Volume Title
Abstract
An innovative approach to DNA sequencing by hybridization utilizes isothermic oligonucleotide libraries. In this paper, we demonstrate the utility of a genetic algorithm for the combinatorial portion of this new approach by incorporating characteristics of DNA sequencing by hybridization in addition to isothermic oligonucleotide libraries. Specialized crossover and mutation operators were developed for this purpose. After initial experiments for parameter adjustment, the performance of the genetic algorithm approach was evaluated with respect to previous methods in the literature. The results indicate that the proposed new approach is superior to previous approaches. The proposed new crossover operator that inherits some features of the structured weighted combinations might also be of value for some other combinatorial problems, including the traveling salesman problem.
Description
Source:
Operations Research
Publisher:
Keywords:
Subject
Management, Operations research, Management science