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dc.contributor.authorWu, Li-Chengen_US
dc.contributor.authorHorng, Jorng-Tzongen_US
dc.contributor.authorHuang, Hsi-Yuanen_US
dc.contributor.authorLin, Feng-Maoen_US
dc.contributor.authorHuang, Hsien-Daen_US
dc.contributor.authorTsai, Meng-Fengen_US
dc.date.accessioned2014-12-08T15:13:47Z-
dc.date.available2014-12-08T15:13:47Z-
dc.date.issued2007-07-01en_US
dc.identifier.issn1432-7643en_US
dc.identifier.urihttp://dx.doi.org/10.1007/s00500-006-0137-8en_US
dc.identifier.urihttp://hdl.handle.net/11536/10653-
dc.description.abstractMultiplex Polymerase chain reaction (PCR) is the term used when more than one pair of primers is used in a polymerase chain reaction. The goal of multiplex PCR is to amplify several segments of target DNA simultaneously and thereby to conserve template DNA, save time, and minimize 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. In our investigations, we found few primer design tools for multiplex PCR and there was no suitable tool for our partners who want to use a multiplex PCR genotypic assay. The tool draws on a genetic algorithm where stochastic approaches based on the concept of biological evolution, biological genetics and genetic operations on chromosomes are used to find an optimal solution for multiplex PCR. The presented experimental results indicate that the proposed algorithm is able to find a set of primer pairs that not only obey the design properties but also work in the same tube.en_US
dc.language.isoen_USen_US
dc.titlePrimer design for multiplex PCR using a genetic algorithmen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s00500-006-0137-8en_US
dc.identifier.journalSOFT COMPUTINGen_US
dc.citation.volume11en_US
dc.citation.issue9en_US
dc.citation.spage855en_US
dc.citation.epage863en_US
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.identifier.wosnumberWOS:000245852900005-
dc.citation.woscount2-
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