A Pattern Matching Technique for Multiple Sequences Alignment with GAP Consideration

H. Mathkour, Muneer Ahmad
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引用次数: 6

Abstract

Protein and DNA sequences of different organisms are often related and they indicate the knowledge about species. The consideration is made to align more than two sequences so that a level/extend of similarity or differences be found that would help in categorizing the common characteristics of species and their behaviors. An efficient recursive approach is proposed in this paper that would not only find the multiple sequences Alignment for protein/DNA sequence but also provides means for consideration of gaps between them. The algorithm will calculate the degree of similarity and bounds/extends of gaps to bring refined and useful results. The input variables (e.g. Strands) of the program are user dependant and internal calculations are performed in recursive fashion to add intelligence to the input Strands. Experimental results have shown more favorable performance of the proposed approach as compared to other approaches.
考虑GAP的多序列比对模式匹配技术
不同生物的蛋白质和DNA序列往往是相互关联的,它们表明了对物种的认识。考虑比对两个以上的序列,以便找到一个水平/范围的相似或差异,这将有助于对物种及其行为的共同特征进行分类。本文提出了一种有效的递归方法,该方法不仅可以找到蛋白质/DNA序列的多序列比对,而且还可以考虑它们之间的间隙。该算法将计算相似度和间隙的边界/扩展,以带来精确和有用的结果。程序的输入变量(例如,链)依赖于用户,内部计算以递归的方式执行,以增加输入链的智能。实验结果表明,与其他方法相比,该方法具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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