首页> 外文期刊>Journal of Bioinformatics and Computational Biology >PROGRESSIVE MULTIPLE ALIGNMENT USING SEQUENCE TRIPLET OPTIMIZATIONS AND THREE-RESIDUE EXCHANGE COSTS
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PROGRESSIVE MULTIPLE ALIGNMENT USING SEQUENCE TRIPLET OPTIMIZATIONS AND THREE-RESIDUE EXCHANGE COSTS

机译:使用序列三重态优化和三维交换成本进行逐渐多次对齐

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摘要

In this paper we demonstrate a practical approach to construct progressive multiple alignments using sequence triplet optimizations rather than a conventional pairwise approach. Using the sequence triplet alignments progressively provides a scope for the synthesis of a three-residue exchange amino acid substitution matrix. We develop such a 20×20×20 matrix for the first time and demonstrate how its use in optimal sequence triplet alignments increases the sensitivity of building multiple alignments. Various comparisons were made between alignments generated using the progressive triplet methods and the conventional progressive pairwise procedure. The assessment of these data reveal that, in general, the triplet based approaches generate more accurate sequence alignments than the traditional pairwise based procedures, especially between more divergent sets of sequences.
机译:在本文中,我们展示了使用序列三元组优化而不是传统的成对方法构建逐次多向对准的实用方法。 使用序列三重态的比对逐渐提供三残基交换氨基酸取代基质的合成的范围。 我们首次开发这样一个20×20×20矩阵,并演示其在最佳序列三重态对准中的使用方式增加了构建多个对准的灵敏度。 在使用渐进式三联方法和传统的渐进成对程序生成的对准之间进行各种比较。 这些数据的评估揭示了,通常,基于三态的方法产生比传统的基于成对的程序的更准确的序列比对,尤其是在更多不同的序列组之间。

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