Primer design for multiplex PCR using a genetic algorithm

Feng Mao Lin, Hsien Da Huang, His Yuan Huang, Jorng Tzong Horng

研究成果: 書貢獻/報告類型會議論文篇章同行評審

2 引文 斯高帕斯(Scopus)

摘要

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.

原文???core.languages.en_GB???
主出版物標題GECCO 2005 - Genetic and Evolutionary Computation Conference
發行者Association for Computing Machinery (ACM)
頁面475-476
頁數2
ISBN(列印)1595930108, 9781595930101
DOIs
出版狀態已出版 - 2005
事件GECCO 2005 - Genetic and Evolutionary Computation Conference - Washington, D.C., United States
持續時間: 25 6月 200529 6月 2005

出版系列

名字GECCO 2005 - Genetic and Evolutionary Computation Conference

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???event.eventtypes.event.conference???GECCO 2005 - Genetic and Evolutionary Computation Conference
國家/地區United States
城市Washington, D.C.
期間25/06/0529/06/05

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