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MTRAP: Pairwise sequence alignment algorithm by a new measure based on transition probability between two consecutive pairs of residues

机译:MTRAP:基于新的度量的成对序列比对算法该算法基于两对连续残基之间的转移概率

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摘要

BackgroundSequence alignment is one of the most important techniques to analyze biological systems. It is also true that the alignment is not complete and we have to develop it to look for more accurate method. In particular, an alignment for homologous sequences with low sequence similarity is not in satisfactory level. Usual methods for aligning protein sequences in recent years use a measure empirically determined. As an example, a measure is usually defined by a combination of two quantities (1) and (2) below: (1) the sum of substitutions between two residue segments, (2) the sum of gap penalties in insertion/deletion region. Such a measure is determined on the assumption that there is no an intersite correlation on the sequences. In this paper, we improve the alignment by taking the correlation of consecutive residues.
机译:背景序列比对是分析生物系统的最重要技术之一。对齐方式还不完全正确,我们必须开发它以寻找更准确的方法。特别地,具有低序列相似性的同源序列的比对不是令人满意的水平。近年来,用于比对蛋白质序列的常用方法使用根据经验确定的方法。例如,度量通常由以下两个量(1)和(2)的组合定义:(1)两个残基片段之间的取代总和,(2)插入/缺失区域中空位罚分的总和。这种措施是在假设序列上没有位点间相关性的前提下确定的。在本文中,我们通过考虑连续残基的相关性来改善比对。

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