DocumentCode
131382
Title
Primer design using gravitational search algorithm
Author
Amoozegar, Maryam ; Rezvannejad, Elham
Author_Institution
Dept. of Inf. Technol., Grad. Univ. of Adv. Technol. Kerman, Kerman, Iran
fYear
2014
fDate
4-6 Feb. 2014
Firstpage
1
Lastpage
6
Abstract
Proper primer design is actually one of the most important factors/steps in successful DNA sequencing. There are many constraints that should be satisfied for designing the optimal primers. In recent years, many methods have been proposed to provide feasible primer set. But designed primer sets by these methods usually do not provide a specific PCR product. Moreover, this process takes a long time. Today, for obtaining approved solutions, evolutionary Algorithms have been applied to the primer design problem. This paper presents a primer design method based on Gravitational Search Algorithm (GSA). GSA is a recently proposed optimization algorithm that is applied for many problems. For valid comparison, the gene CYP1A has been selected that is frequently used in previous researches. This gene is associated with a heightened lung cancer risk. Analyzing of the results confirms that the accuracy, time efficiency and reliability of GSA based method are better than PSO based method.
Keywords
DNA; genetics; particle swarm optimisation; search problems; CYP1A gene; DNA sequencing; GSA; PSO; gravitational search algorithm; lung cancer risk; optimization algorithm; primer design method; Accuracy; Algorithm design and analysis; DNA; Equations; Indexes; Mathematical model; Optimization; PCR; gravitational search algorithm; optimization; primer design;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems (ICIS), 2014 Iranian Conference on
Conference_Location
Bam
Print_ISBN
978-1-4799-3350-1
Type
conf
DOI
10.1109/IranianCIS.2014.6802608
Filename
6802608
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