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A novel estimation algorithm of evolutionary distance based on the word frequency variation of sequence segment

机译:一种新颖的基于序列段频率变化的进化距离估计算法

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Based on the model of evolution, studies on the genome sequence of organisms use alignment method to calculate evolutionary distances between organisms. However, there is clear disadvantages in that it requires high complexity of the whole algorithm and necessity of perfect sequence assembly in the conventional studies. Therefore, in recent years, alignment-free methods for analyzing the relationship between sequences by using fragmentary information such as word frequency or common substring of each sequence without progressing alignment for the entire sequence are being researched. Nevertheless, the alignment-free method has not been widely used yet. This is because the alignment free methods so far have presented algorithms which are solely experimental rather than mathematical. Therefore, we propose a mathematical estimation method of the evolutionary distance based on the model of evolution and prove that it shows superior performance compared with various alignment-free methods.
机译:基于进化模型,生物体基因组序列的研究使用对准方法计算生物之间的进化距离。然而,存在明显的缺点,因为它需要在传统研究中的整个算法的高复杂性和完美序列组件的必要性。因此,近年来,通过使用诸如每个序列的词频率或公共子字符串的局部信息而不进行整个序列进行对准的局部信息,用于分析序列之间的关系的对准方法。然而,无序方法尚未被广泛使用。这是因为到目前为止的对准方法呈现了仅仅是实验性的而不是数学的算法。因此,我们提出了一种基于进化模型的进化距离的数学估计方法,并证明它显示出优异的性能与各种无比目的方法相比。

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