@article{(Open Science Index):https://publications.waset.org/pdf/6333,
	  title     = {Primer Design with Specific PCR Product using Particle Swarm Optimization},
	  author    = {Cheng-Hong Yang and  Yu-Huei Cheng and  Hsueh-Wei Chang and  Li-Yeh Chuang},
	  country	= {},
	  institution	= {},
	  abstract     = {Before performing polymerase chain reactions (PCR), a feasible primer set is required. Many primer design methods have been proposed for design a feasible primer set. However, the majority of these methods require a relatively long time to obtain an optimal solution since large quantities of template DNA need to be analyzed. Furthermore, the designed primer sets usually do not provide a specific PCR product. In recent years, evolutionary computation has been applied to PCR primer design and yielded promising results. In this paper, a particle swarm optimization (PSO) algorithm is proposed to solve primer design problems associated with providing a specific product for PCR experiments. A test set of the gene CYP1A1, associated with a heightened lung cancer risk was analyzed and the comparison of accuracy and running time with the genetic algorithm (GA) and memetic algorithm (MA) was performed. A comparison of results indicated that the proposed PSO method for primer design finds optimal or near-optimal primer sets and effective PCR products in a relatively short time.
},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {3},
	  number    = {5},
	  year      = {2009},
	  pages     = {1225 - 1230},
	  ee        = {https://publications.waset.org/pdf/6333},
	  url   	= {https://publications.waset.org/vol/29},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 29, 2009},
	}