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蓝舌病毒基因组序列多元概率特征可视化分析

Visual Analysis of Multiple Probability Features of Bluetongue Virus Genome Sequence
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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。 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.
作者 陈慧嫔 王琨 杨恒 郑智捷 CHEN Hui-pin;WANG Kun;YANG Heng;ZHENG Zhi-jie(School of Software,Yunnan University,Kunming 650091,China;Yunnan Tropical and Subtropical Animal Virus Diease Laboratory,Yunnan Animal Science and Veterinary Institute,Kunming 650224,China)
出处 《计算机科学》 CSCD 北大核心 2022年第S01期27-31,共5页 Computer Science
基金 国家自然科学基金(62041213)。
关键词 蓝舌病毒 概率统计 数据可视化 基因序列 Bluetongue virus Probability statistics Data visualization Gene sequence
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