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A Multi-Objective Optimization Framework for Multiple Sequence Alignment with Metaheuristics

机译:基于元启发式的多序列比对多目标优化框架

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摘要

The alignment of more than two biological sequences is a widely used technique in a number of areas of computational biology. However, finding an optimal alignment has been shown to be an NP-complete optimization problem. Furthermore, Multiple Sequence Alignment (MSA) can be formulated according to more than one score function, leading to multi-objective formulations of this problem. Due to these reasons, metaheuristics have been proposed to deal with MSA problems. In this paper, we present jMetalMSA, an Open Source software tool for solving MSA problems with multi-objective metaheuristics. Our motivation here is to offer to the scientific community in computational biology, a platform including state-of-the-art optimization algorithms aimed at solving different formulations of the MSA. We describe the main features of jMetalMSA, including the metaheuristics and scores that are currently available. In addition, we show a working example for illustration purposes.
机译:在计算生物学的许多领域中,两个以上生物序列的比对是一种广泛使用的技术。然而,发现最佳比对已显示为NP完全优化问题。此外,可以根据一个以上的得分函数来制定多重序列比对(MSA),从而导致该问题的多目标制定。由于这些原因,已经提出了元启发法来处理MSA问题。在本文中,我们介绍了jMetalMSA,这是一种用于解决具有多目标元启发式方法的MSA问题的开源软件工具。我们在这里的动机是向计算生物学的科学界提供一个平台,其中包括旨在解决MSA的不同公式的最新优化算法。我们描述了jMetalMSA的主要功能,包括当前可用的元启发式方法和得分。另外,我们出于说明目的展示了一个工作示例。

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