شماره ركورد كنفرانس :
144
عنوان مقاله :
Primer Design Using Gravitational Search Algorithm
پديدآورندگان :
Amoozegar Maryam نويسنده PhD Student in Higher Education Administration, Islamic Azad University, Tehran, Iran. , Rezvannejad Elham نويسنده
كليدواژه :
component , PCR , Gravitational search algorithm , Optimization , Primer design
عنوان كنفرانس :
مجموعه مقالات دوازدهمين كنفرانس سيستم هاي هوشمند ايران
چكيده فارسي :
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.
شماره مدرك كنفرانس :
3817034