DocumentCode
83288
Title
PCR-CTPP Design for Enzyme-Free SNP Genotyping Using Memetic Algorithm
Author
Li-Yeh Chuang ; Yu-Huei Cheng ; Cheng-Hong Yang
Author_Institution
Dept. of Chem. Eng., I-Shou Univ., Kaohsiung, Taiwan
Volume
14
Issue
1
fYear
2015
fDate
Jan. 2015
Firstpage
13
Lastpage
23
Abstract
In recent years, many single nucleotide polymorphisms (SNPs) have been successfully genotyped by polymerase chain reaction with confronting two-pair primers (PCR-CTPP). However, computation experiments of feasible CTPP primers are still challenging. The melting temperatures between four primers must be within a very narrow range, and many primer constraints need to be conformed to. PCR-CTPP is a simple, time- and cost-effective SNP genotyping method applied in molecular biology and biomedical fields. In this study, an MA (memetic algorithm)-based method is proposed to enable the design of feasible CTPP primer sets. Overall, 288 SNPs which exclude the deletion/insertion polymorphisms (DIPs) and multi-nucleotide polymorphisms (MNPs) in the SLC6A4 gene were tested in silico. The results were compared with a GA (genetic algorithm)-based method and indicate that the proposed method provides more feasible CTPP primers than the GA-based method. The MA-based CTPP primer design method provides critical melting temperatures and all kinds of evaluation of the common primer constraints. It could conceivably assist biologists and other researchers in obtaining feasible CTTP primer sets. The MA-CTPP algorithm is implemented in JAVA and a user-friendly input interface is freely available at http://bio.kuas.edu.tw/ma-ctpp/.
Keywords
Java; bioinformatics; enzymes; genetic algorithms; genetics; genomics; melting point; molecular biophysics; polymorphism; user interfaces; GA-based method; JAVA; MA-based CTPP primer design; PCR-CTPP design; SLC6A4 gene; biomedical fields; confronting two-pair primers; cost-effective SNP genotyping; critical melting temperatures; deletion-insertion polymorphisms; enzyme-free SNP genotyping; feasible CTPP primers; genetic algorithm; memetic algorithm; molecular biology; multinucleotide polymorphisms; polymerase chain reaction; primer constraints; single nucleotide polymorphisms; time-effective SNP genotyping; user-friendly input interface; Algorithm design and analysis; DNA; Genetic algorithms; Indexes; Memetics; Sociology; Statistics; Genetic algorithm (GA); memetic algorithm (MA); polymerase chain reaction with confronting two-pair primers (PCR-CTPP); primer design;
fLanguage
English
Journal_Title
NanoBioscience, IEEE Transactions on
Publisher
ieee
ISSN
1536-1241
Type
jour
DOI
10.1109/TNB.2015.2392782
Filename
7051322
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