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An improved algorithm for string matching using index based shifting approach

机译:改进的基于索引的移位方法进行字符串匹配的算法

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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:现在,生物信息学被认为是生物科学领域研究最多的分支之一,致力于探索分析,存储和检索生物数据的各种方法,例如蛋白质序列和核酸(DNA / RNA),构型,功能,途径和遗传关系。在生物信息学中,基因组序列分析已导致组织良好的模式发现算法的发展,从而可以对大型DNA序列进行搜索。匹配算法效率的最重要因素取决于字符比较的总数。基于索引的移位(IBS)算法(为我们提出的算法选择的名称)是在不同长度的DNA序列数据集上进行测试的。与ABSBMH算法相比,IBS算法在所需的字符比较总数方面显示出了极大的效率。实验结果表明,提出的IBS算法在增加图案长度时效果更好。

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