期刊名称：International Journal of Electronics Communication and Computer Engineering
印刷版ISSN：2249-071X
电子版ISSN：2278-4209
出版年度：2013
卷号：4
期号：3
页码：1091-1094
出版社：IJECCE
摘要：In this paper, we explore the consequences of changing the method of construction of guide tree used for the progressive alignment. The method is based on the concept of comparing the similarity/dissimilarity between two Markov models using Kullback–Leibler divergence for construction of pair-wise distance matrix. We evaluated both the leading MSA method, ClustalW as well as the new MSA method which we have developed on benchmark DNA datasets. Improvement in alignment accuracy (i.e. sum of pair’s scores) is observed when compared with ClustalW method
