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
Link To Document :
بازگشت