BRQS Matching Algorithm for Searching Protein Sequence Databases

Ahmad F. Klaib, H. Osborne
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引用次数: 7

Abstract

String matching algorithms play a key role in many computer science problems, challenges and in the implementation of computer software. This problem has received a great deal of attention due to various applications in computational biology. In our study, we propose a new algorithm called BRQS. Experimental results show that it offers fewer numbers of comparisons and offers improved elapsed searching time when compared to other well-known algorithms for searching any length of alphabets and patterns. The proposed algorithm is applicable to search protein sequence databases as well as any other string searching applications.
蛋白质序列数据库搜索的BRQS匹配算法
字符串匹配算法在许多计算机科学问题、挑战和计算机软件的实现中起着关键作用。由于在计算生物学中的各种应用,这个问题受到了极大的关注。在我们的研究中,我们提出了一种名为BRQS的新算法。实验结果表明,与其他已知的搜索任意长度的字母和模式的算法相比,它提供了更少的比较次数,并提供了更长的搜索时间。该算法不仅适用于搜索蛋白质序列数据库,也适用于其他字符串搜索应用。
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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