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An improved algorithm for string matching using index based shifting approach

机译:一种使用基于索引的移位方法的串匹配的改进算法

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Bioinformatics is now considered as one of the most studied branches in biological science which deals with the exploring of different kinds of methods for analyzing, storing and retrieving biological data, such as protein sequences and nucleic acid (DNA/RNA), configurations, functions, pathways, and genetic relations. In bioinformatics, genomic sequence analysis has led to the evolution of well-organized pattern discovery algorithms to produce search over large DNA sequences. The most important factor for efficiency of a matching algorithm is depending on the total number of character comparisons. Index Based Shift (IBS) algorithm which is the name chosen for our proposed algorithm was tested on different length of DNA sequences data set. The IBS algorithm shows great efficiency in terms of total number of character comparisons it requires than that of ABSBMH algorithm. The experimental result shows that our proposed IBS algorithm works better when length of pattern is increased.
机译:生物信息学现在被认为是生物科学中最受研究的分支之一,涉及探索不同类型的分析,储存和检索生物数据,例如蛋白质序列和核酸(DNA / RNA),配置,功能,途径和遗传关系。在生物信息学中,基因组序列分析导致井组织模式发现算法的演变,以产生大量DNA序列的搜索。匹配算法效率最重要的因素取决于字符比较总数。基于索引的换档(IBS)算法是在不同长度的DNA序列数据集上测试了所选择的算法所选择的名称。 IBS算法在其需要比ABBMH算法的字符比较总数方面呈现出巨大效率。实验结果表明,当图案长度增加时,我们所提出的IBS算法更好。

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