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Identifying DNA sequence by using stream matching techniques

机译:使用流匹配技术识别DNA序列

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摘要

In Bioinformatics there are frameworks in DNA sequences become the subject of many research papers. DNA sequencing is done by stream matching techniques. This paper assesses two algorithms that are used for DNA sequencing. These algorithms are- Maximum Common Sub stream (MCS) and Rabin-Karp (R-K) Algorithm. The evaluations of these two algorithms are performed with different code implementation and algorithm. For evaluation of algorithm's implementation, there are two criteria used that are accuracy and performance. In the result there shows that why those two algorithms are popular.
机译:在生物信息学中,DNA序列中的框架成为许多研究论文的主题。 DNA测序通过流匹配技术完成。本文评估了用于DNA测序的两种算法。这些算法是-最大公共子流(MCS)和Rabin-Karp(R-K)算法。这两种算法的评估是通过不同的代码实现和算法执行的。为了评估算法的实现,使用了两个标准,即准确性和性能。结果表明,为什么这两种算法很受欢迎。

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