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

机译:使用不变的代码提取和静态线程调度优化多个序列对齐(MSA)

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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(多序列对齐)是生物信息域中的具有挑战性的任务。由于有许多方法可用于对齐输入序列。此外,输出也与每个方法不同的方法也不同。出于许多对齐工具MSAPROBS是更快的工具。但这个工具也不是如此优化它有一些错误,这使得这个工具不优化。要优化MSAPROBS工具,我们使用了Uniprocessor优化技术,并采用了静态线程调度。

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