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Improving Standard Progressive Multiple Sequence Alignment by Using Multithreading Techniques

机译:通过使用多线程技术改进标准逐行多序列对齐

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One of the most important goals in bioinformatics is the ideal alignment among three or even more sequences of Protein, DNA or RNA. The urgent problem in multiple sequence alignment (MSA) is to maximize accuracy and decreasing execution time. Progressive and Iterative techniques are most extensively used for solving MSA challenge. In this paper, we focus on progressive MSA of protein sequences. Progressive alignment with large-scale sequences will be time-consuming so parallelization is a key approach for decreasing the time execution. In this paper, we present a parallel implementation of progressive MSA based totally on java multithreading strategies. Experimental results have shown that the proposed approach is efficient for large-scale and shorter sequences.
机译:生物信息学中最重要的目标之一是三种甚至更多蛋白质,DNA或RNA序列中的理想比赛。多个序列对齐(MSA)中的紧急问题是最大化精度和减少的执行时间。渐进和迭代技术最广泛地用于解决MSA挑战。在本文中,我们专注于蛋白质序列的渐进式MSA。与大规模序列的渐进对准将耗时,因此并行化是减少时间执行的关键方法。在本文中,我们在java多线程策略上完全基于逐行MSA的平行实现。实验结果表明,该方法对于大规模和更短的序列有效。

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