Abstract | ||
---|---|---|
The importance of DNA sequence design for reliable DNA computing is well recognized. In this paper, we describe a DNA sequence optimization system NACST/Seq that is based on a multiobjective genetic algorithm. It uses the concept of Pareto optimization to reflect many realistic characteristics of DNA sequences in real bio-chemical experiments flexibly. This feature allows to recommend multiple candidate sets as well as to generate the DNA sequences, which fit better to a specific DNA computing algorithm. We also describe DNA sequence analyzer that can examine and visualize the properties of given DNA sequences. |
Year | DOI | Venue |
---|---|---|
2002 | 10.1007/3-540-36440-4_21 | DNA |
Keywords | Field | DocType |
multiple candidate,sequence design system,dna sequence,dna sequence design,multiobjective genetic algorithm,real bio-chemical experiments flexibly,dna sequence analyzer,pareto optimization,multiobjective optimization,dna sequence optimization system,reliable dna computing,specific dna computing algorithm,dna computing | Biology,Sequence design,Multi-objective optimization,Theoretical computer science,DNA sequencing,Multiobjective optimization problem,A-DNA,Genetic algorithm,DNA computing | Conference |
Volume | ISSN | ISBN |
2568 | 0302-9743 | 3-540-00531-5 |
Citations | PageRank | References |
6 | 0.79 | 9 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dongmin Kim | 1 | 6 | 0.79 |
Soo-Yong Shin | 2 | 196 | 17.20 |
In-Hee Lee | 3 | 128 | 10.10 |
Byoung-Tak Zhang | 4 | 1571 | 158.56 |