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

机译:使用不变代码提取和静态线程调度来优化多序列比对(MSA)

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摘要

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.
机译:MSA(多序列比对)是生物信息学领域的一项艰巨任务。由于有许多方法可以比对输入序列。同样,对于相同的输入,输出也不同于每种方法。在许多对齐工具中,MSAProbs是更快的工具。但是该工具也不是最优的,它具有一些错误,导致该工具无法优化。为了优化MSAProbs工具,我们使用了单处理器优化技术,并且还利用了静态线程调度。

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