期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2012
卷号：3
期号：12
DOI：10.14569/IJACSA.2012.031228
出版社：Science and Information Society (SAI)
摘要：This paper presents genetic algorithm based solution for determing alignment of multiple molecular sequences. Two datasets from DNA families Canis_familiaris and galaxy dataset have been considered for experimental work & analysis. Genetic operators like cross over rate, mutation rate can be defined by the user. Experiments & observations were recorded w.r.t variable parameters like fixed population size vs variable number of generations & vice versa, variable crossover & mutation rates. Comparative evaluation in terms of measure of fitness accuracy is also carried out w.r.t existing MSA tools like Maft, Kalign. Experimental results show that the proposed solution does offer better fitness accuracy rates.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; DNA Sequences; alignment; Genetic Algorithm; Crossover; Mutation; Selection; Multiple Sequence Alignment etc.
