Primer design for multiplex PCR using a genetic algorithm

Authors:
Feng-Mao Lin;Hsien-Da Huang;His-Yuan Huang;Jorng-Tzong Horng
Affiliations:
National Central University, Jhong-Li, Taiwan;National Chiao Tung University, Hsin-Chu, Taiwan;National Chiao Tung University, Hsin-Chu, Taiwan;National Central University, Jhong-Li, Taiwan
Venue:
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Year:
2005

Citing 2
Cited 1

Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms and Simulated Annealing

Genetic Algorithms and Simulated Annealing

Multiplex PCR assay design by hybrid multiobjective evolutionary algorithm

EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization

Quantified Score

Hi-index	0.00

Visualization

Abstract

Multiplex Polymerase Chain Reaction (PCR) experiments are used for amplifying several segments of the target DNA simultaneously and thereby to conserve template DNA, reduce the experimental time, and minimize the experimental expense. The success of the experiment is dependent on primer design. However, this can be a dreary task as there are many constrains such as melting temperatures, primer length, GC content and complementarity that need to be optimized to obtain a good PCR product. Motivated by the lack of primer design tools for multiplex PCR genotypic assay, we propose a multiplex PCR primer design tool using a genetic algorithm, which is a stochastic approach based on the concept of biological evolution, biological genetics and genetic operations on chromosomes, to find an optimal selection of primer pairs for multiplex PCR experiments. The presented experimental results indicate that the proposed algorithm is capable of finding a series of primer pairs that obeies the design properties in the same tube.