新冠病毒DNA序列基于熵值的分布可视化
Novel Coronavirus DNA Sequence Visualization Based on Entropy Distribution
DOI: 10.12677/HJCB.2021.112003, PDF,   
作者: 杨 宸, 郑智捷:云南大学软件学院,云南 昆明
关键词: 新冠病毒DNA序列可视化分析Novel Coronavirus DNA Sequence Entropy Visualization Analysis
摘要: 新型冠状病毒于2020年1月正式命名为2019-nCoV,时至今日该病毒的传播仍然没有得到良好的控制。病毒的DNA碱基序列在病毒的性状中起着决定性的作用,本文分析了四个国家(中国,美国,澳大利亚,德国)新冠病毒DNA之间的差异。选择各国新冠病毒DNA序列,以信息熵,相对熵,交叉熵的形式给出四国病毒之间差异的可视化分析。
Abstract: Novel coronavirus is officially named 2019-ncov in January 2020, and has not been well controlled until now. The DNA base sequence of avirus plays a decisive role in the character of avirus. This pa-per analyzes the differences between novel coronavirus DNA from four countries (China, America, Australia and Germany). The novel coronavirus DNA sequences from different countries were se-lected, and the visual analysis of the differences between four viruses was given in the form of in-formation entropy, relative entropy and cross entropy.
文章引用:杨宸, 郑智捷. 新冠病毒DNA序列基于熵值的分布可视化[J]. 计算生物学, 2021, 11(2): 21-29. https://doi.org/10.12677/HJCB.2021.112003

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