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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善标准的渐进式多序列比对

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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蛋白质,DNA或RNA的三个甚至更多序列之间的理想比对。多序列比对(MSA)中的紧迫问题是最大程度地提高准确性并减少执行时间。渐进式和迭代式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MSA。大规模序列的逐步比对将非常耗时,因此并行化是减少时间执行的关键方法。在本文中,我们提出了一种完全基于Java多线程策略的并行MSA并行实现。实验结果表明,该方法对于大规模和短序列是有效的。

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