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Aligning Multiple Protein Sequences by Hybrid Clonal Selection Algorithm with Insert-Remove-Gaps and BlockShuffling Operators

机译:用嵌件锁定间隙和块沙壳算子对准多种蛋白质序列的混合克隆选择算法

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Multiple sequence alignment (MSA) is one of the most important tasks in biological sequence analysis. This paper will primarily focus on protein alignments, but most of the discussion and methodology also applies to DNA alignments. A novel hybrid clonal selection algorithm, called an aligner, is presented. It searches for a set of alignments amongst the population of candidate alignments by optimizing the classical weighted sum of pairs objective function. Benchmarks from BaliBASE library (v.1.0 and v.2.0) are used to validate the algorithm. Experimental results of BaliBASE v.1.0 benchmarks show that the proposed algorithm is superior to PRRP, ClustalX, SAGA, DIALIGN, PIMA, MULTIALIGN, and PILEUP8. On BaliBASE v.2.0 benchmarks the algorithm shows interesting results in terms of SP score with respect to established and leading methods, i.e. ClustalW, T-Coffee, MUSCLE, PRALINE, Prob-Cons, and Spem.
机译:多序列对齐(MSA)是生物序列分析中最重要的任务之一。本文主要关注蛋白质对准,但大多数讨论和方法也适用于DNA对准。提出了一种称为对齐器的新型混合克隆选择算法。它通过优化经典加权的对目标函数,搜索候选对齐群体的一组对齐。来自Balibase库(V.1.0和V.2.0)的基准用于验证算法。 Balibase V.1.0基准的实验结果表明,该算法优于PRRP,Clustalx,Saga,Dialign,PIMA,Multialign和Pipup8。在Balibase v.2.0基准测试中,该算法在SP得分方面显示了与已建立的和主要方法的比分,即Clustalw,T-咖啡,肌肉,果仁糖,缺点和Spem。

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