计算机科学 ›› 2022, Vol. 49 ›› Issue (6A): 27-31.doi: 10.11896/jsjkx.210300129

• 智慧医疗 • 上一篇    下一篇

蓝舌病毒基因组序列多元概率特征可视化分析

陈慧嫔1, 王琨1, 杨恒2, 郑智捷1   

  1. 1 云南大学软件学院 昆明 650091
    2 云南省亚热带动物病毒重点实验室 昆明 650224
  • 出版日期:2022-06-10 发布日期:2022-06-08
  • 通讯作者: 郑智捷(conjugatelogic@yahoo.com)
  • 作者简介:(chuipin@foxmail.com)
  • 基金资助:
    国家自然科学基金(62041213)

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).

摘要: 由于基因序列决定基因结构,基因结构反应生物功能性状,对病毒基因序列进行科学的数据可视化成为广泛应用的方法之一,对生物的基因序列进行可视化操作的需求日益增加。由此提出以最先进的生物信息分析学和分层结构化生物信息知识模型为基础,采用多元概率测度的方式对蓝舌病毒基因序列进行统计分析,结合计算机可视化的方法呈现蓝舌病毒在不同投影下的特征。与传统的病毒研究方法相比,此方法直观简洁,应用难度小。在不同的测量坐标下提供丰富的可视化呈现可反映蓝舌病毒的分类特征,将所提方法生成的结果与传统生物分析方法生成的系统发育树结果进行对照,可为同源性分析以及蓝舌病毒进化关系的研究提供参考,利于从多种角度深入研究蓝舌病毒。

关键词: 概率统计, 基因序列, 蓝舌病毒, 数据可视化

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

中图分类号: 

  • TP391
[1] PATEL A,ROY P.The molecular biology of Bluetongue virus replication[J].Virus Research An International Journal of Molecular & Cellular Virology,2014,182:5-20.
[2] PRASAD B V,SCHMID M F.Principles of virus structural organization[J].Advances in Experimental Medicine and Biology,2012,726:17-47.
[3] RUSHTON J,LYONS N.Economic impact of Bluetongue:a review of the effects on production[J].Veterinaria Italiana,2015,51(4):401-406.
[4] PINIOR B,BRUGGER K,KÖFER J,et al.Economic comparison of the monitoring programmes for bluetongue vectors in Austria and Switzerland[J].The Veterinary Record,2015,176(18):464.
[5] PINIOR B,LEBL K,FIRTH C,et al.Cost analysis of bluetongue virus serotype 8 surveillance and vaccination programmes in Austria from 2005 to 2013[J].The Veterinary Journal,2015,206(2):154-160.
[6] GREWAR J D.The economic impact of Bluetongue and otherorbiviruses in sub-Saharan Africa,with special reference to Southern Africa[J].Veterinaria Italiana,2016,52(3/4):375-381.
[7] GETHMANN J,PROBST C,CONRATHS F J.Economic Impact of a Bluetongue Serotype 8 Epidemic in Germany[J].Frontiers in Veterinary Science,2020,7:65.
[8] MACLACHLAN N J,OSBURN B I.Impact of bluetongue virus infection on the international movement and trade of ruminants[J].J Am Vet Med Assoc,2006,228(9):1346-1349.
[9] HAMORI E,RUSKIN J.H curves,a novel method of representation of nucleotide series especially suited for long DNA sequences[J].Journal of Biological Chemistry,1983,258(2):1318-1327.
[10] JEFFREY H J.Chaos game representation of gene structure[J].Nucle-ic Acid Research,1990,18(8):2163-2170.
[11] HAO B L.Fractals fromgenomes-exact solutions of a biology-inspired problem[J].Physica A,2000,282:225-246.
[12] YANG Y L,WANG J H.Research on Z-curve of non-codingRNA[C]//Proceedings of the Eleventh Chinese Conference on Biophysics.2009:183-184.
[13] SUN C F,CHENG Z.Visual processing method of gene se-quence:China Patent,CN201610810914.3 [P].2017-04-19.
[14] JEFFREY Z,ZHU M H.Input-Output Types of Fifteen Mo-dules on Discrete and Real Measurements for COVID-19[M].EC Neurology Special Issue,2021(2):71-85.
[15] JEFFREY Z,LIU J Z.A Visual Framework of Meta Genomic Analysis on Variations of Whole SARS-CoV-2 Sequences[M].EC Neurology Special Issue,2021(2):49-70.
[16] TU F Y,HAN W J,WANG T,et al.A case of morphology and DNA molecular species of defeathered birds[J].Chinese Journal of Forensic Sciences,2020(5):108-110.
[17] GUO K.Complete Genome amplification of Astrovirus MLB2 in Patients Following Hematopoietic Stem Cell Transplantation and the Evo;utionary Study of the Astrovirus[D].Anhui:Anhui Medical University,2020.
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