• 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