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Distance based methods of DNA sequence analysis in phylogenetics

机译:系统发育中基于距离的DNA序列分析方法

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Alignment based methods are considered under NP hard problems they does not perform well when database becomes largeand complex. This paper discusses alignment free methods based on k-tuple, frequency and composition of bases and k-mer. All the methods are discussed taking pair of DNA sequence of same length and different length giving distance meaure between them. In the results we have shown all the discussed alignment free methods are almost same in calculating the distance measure of same length, but for different length sequences k-tuple based method and frequency and compositional based method's result are more close as compared to k-mer based method. Role of entropy in sequence analysis and various distance methods like Euclidean, Manhattan UPGMA and neighbor joining are also discussed.
机译:基于对齐的方法被认为是NP难题,当数据库变得庞大和复杂时,它们无法很好地执行。本文讨论了基于k元组,碱基和k-mer的频率和组成的无比对方法。讨论了所有方法,采用相同长度和不同长度的DNA序列对,并给出它们之间的距离测量值。结果表明,在计算相同长度的距离量度时,所有讨论的无对齐方法几乎相同,但是对于不同长度的序列,基于k元组的方法以及基于频率和成分的方法的结果与k-mer相比更加接近基于方法。还讨论了熵在序列分析中的作用以及各种距离方法,如欧几里得,曼哈顿UPGMA和邻居加入。

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