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
تعداد صفحه :
6
كليدواژه :
component , PCR , Gravitational search algorithm , Optimization , Primer design
عنوان كنفرانس :
مجموعه مقالات دوازدهمين كنفرانس سيستم هاي هوشمند ايران
زبان مدرك :
فارسی
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
سال انتشار :
2014
از صفحه :
1
تا صفحه :
6
سال انتشار :
0
لينک به اين مدرک :
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