Optimization of multiple sequence alignment (MSA) using invariant code extraction and static thread scheduling

K. Sonavane, B. Soni
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Abstract

MSA(Multiple sequence alignment) is the challenging task in the bioinformatics domain. As there are many methods are available to align the input sequences. Also the output is also different from each method for same input. Out of many tools of alignment MSAProbs is faster tool available. But this tool is also not so optimal it has some bugs which makes this tool unoptimize. To Optimize the MSAProbs tool we have used the uniprocessor optimization techniques and also take advantage static thread scheduling.
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基于不变代码提取和静态线程调度的多序列比对优化
多序列比对是生物信息学领域中具有挑战性的课题。由于有许多方法可用于对齐输入序列。同样,对于相同的输入,每个方法的输出也不同。在许多校准工具中,MSAProbs是可用的更快的工具。但是这个工具也不是最优的,它有一些错误,这使得这个工具不优化。为了优化MSAProbs工具,我们使用了单处理器优化技术,并利用静态线程调度的优势。
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