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DNA Sequence Similarity Detection Method Based on Hurst Index

A DNA sequence and detection method technology, applied in electrical digital data processing, special data processing applications, instruments, etc., to achieve the effect of simplifying computational complexity, concise methods, and improving computational efficiency

Inactive Publication Date: 2015-10-21
CHONGQING UNIV
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But the Hurst index is not applied to DNA sequence similarity analysis

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  • DNA Sequence Similarity Detection Method Based on Hurst Index
  • DNA Sequence Similarity Detection Method Based on Hurst Index
  • DNA Sequence Similarity Detection Method Based on Hurst Index

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[0028] With reference to the accompanying drawings, the first exon coding sequence of the beta-globulin used in 11 species by the method of the present invention will be described in detail as the analysis object as an example, including the following steps: see figure 1 , the DNA sequence similarity detection method based on the Hurst index of the present embodiment comprises the following steps:

[0029] 1) The coding sequence of the first exon of β-globin, which is widely used in the analysis of sequence similarity, was selected as the initial sequence; see Table 1.

[0030] 2) Digitally convert the initial sequence obtained in step 1) to obtain the corresponding numerical sequence of the initial sequence; this method adopts 2D graphic representation to digitize the DNA sequence (see M, M, N, et al. Chemical Physics Letters [J]., 2003, 368: 1-6.). The characteristic of this method is that the expression of 4 bases depends on the sequence in which they appear in the an...

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Abstract

The invention relates to the field of biological information processing, in particular to a DNA sequence similarity detecting method based on Hurst indexes, which can simultaneously detect the similarity of a plurality of DNA sequences, simplifies the computational complexity, improves the operational efficiency, and can increase the difference degree among analysis objects of nearer evolutionary distance. The method comprises the following steps: (1) acquiring DNA coding sequences of different species in the same function area as initial sequences; (2) carrying out digital conversion on the initial sequences acquired in the step (1) to acquire numerical sequences corresponding to the initial sequences; (3) analyzing each numerical sequence acquired in the step (2) by a R / S analysis method to acquire Hurst indexes of each numerical sequence; (4) constructing a distance matrix by utilizing the Hurst indexes acquired in the step (3); and (5) acquiring sequence similarity information from the distance matrix acquired in the step (4).

Description

technical field [0001] The invention relates to the field of biological information processing, in particular to a DNA sequence similarity detection method. Background technique [0002] An important content of bioinformatics is sequence analysis. By analyzing the sequences of nucleic acids and proteins, their structural and functional information is obtained to understand the functions of nucleic acids and proteins in organisms and to study their evolutionary origins. The rapid expansion of sequence data in sequence databases has prompted researchers to conduct extensive research on sequence analysis methods. [0003] Based on different sequence expression methods, researchers use a variety of algorithms to extract characteristic parameters that can effectively reflect sequence biological information from digital sequences, such as the largest eigenvalue and topological index of various matrices, and then construct a multidimensional vector corresponding to the analysis seq...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/22
Inventor 刘晓唐鸿铃黄扬帆曾浩刘玲
Owner CHONGQING UNIV
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