Computer Science ›› 2022, Vol. 49 ›› Issue (6A): 27-31.doi: 10.11896/jsjkx.210300129

• Smart Healthcare • Previous Articles     Next Articles

Visual Analysis of Multiple Probability Features of Bluetongue Virus Genome Sequence

CHEN Hui-pin1, WANG Kun1, YANG Heng2, ZHENG Zhi-jie1   

  1. 1 School of Software,Yunnan University,Kunming 650091,China
    2 Yunnan Tropical and Subtropical Animal Virus Diease Laboratory,Yunnan Animal Science and Veterinary Institute,Kunming 650224,China
  • Online:2022-06-10 Published:2022-06-08
  • About author:CHEN Hui-pin,born in 1999,bachelor.Her main research interests include computer biology science and cyber security.
    ZHENG Zhi-jie,born in 1956,Ph.D,professor.His main research interest is variant construction.
  • Supported by:
    National Natural Science Foundation of China(62041213).

Abstract: The sequence of a gene determines its structure,and the structure of a gene reflects biological functional traits.Therefore,scientific data visualization of viral gene sequences has become one of the widely used methods.There is an increasing demand for visual manipulation of biological gene sequences.Therefore,based on the most advanced bioinformatics analysis and hierarchical structured bioinformatics knowledge model,the method of multiple probability measures is proposed to statistically analyze the bluetongue virus gene sequence,and combined with computer visualization methods,the characteristics of the bluetongue virus under different projections are presented.Compared with traditional virus research methods,this method is intuitive and concise,and it is easy to use.This method provides rich visualization under different measurement coordinates,reflecting the classification characteristics of bluetongue virus.Results generated by this method are compared with the phylogenetic tree generated by traditional biological analysis methods,which could provide references for homology analysis and the study of the evolutionary relationship of bluetongue virus.It is conducive to in-depth study of bluetongue virus from various angles.

Key words: Bluetongue virus, Data visualization, Gene sequence, Probability statistics

CLC Number: 

  • TP391
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