Publication:
DNA sequencing by hybridization via genetic search

Placeholder

Organizational Units

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

Citation

Endorsement

Review

Supplemented By

Referenced By

Copy Rights Note

0

Views

0

Downloads

View PlumX Details