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A survey on multiple sequence alignment using metaheuristics

机译:基于元启发式的多序列比对研究

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Over the past two decades, various research works have been going on Multiple Sequence Alignment (MSA) and it becomes an important domain in bioinformatics. This is an NPhard problem. For this purpose, various traditional, heuristics and metaheuristic methods have been applied. Among these methods, metaheuristics show an effective output to overcome the bottleneck of MSA problem. Different metaheuristic methods and software have been developed to overcome the speed and accuracy problem of MSA, while the number of sequences increases. In this article, we have surveyed widely used metaheuristic methods and alignment tools applied for solving MSA problem. However, after reviewing we can conclude that the time complexity is still a big challenge for MSA problem.
机译:在过去的二十年中,有关多序列比对(MSA)的各种研究工作一直在进行,并且它已成为生物信息学中的重要领域。这是一个NPhard问题。为了这个目的,已经应用了各种传统的,启发式的和元启发式的方法。在这些方法中,元启发法显示了克服MSA问题瓶颈的有效输出。已经开发了不同的元启发式方法和软件来克服MSA的速度和准确性问题,同时增加了序列数。在本文中,我们调查了用于解决MSA问题的广泛使用的元启发式方法和对齐工具。但是,经过回顾,我们可以得出结论,时间复杂度仍然是MSA问题的一大挑战。

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