%0 Journal Article
%T 新冠病毒DNA序列基于熵值的分布可视化<br>Novel Coronavirus DNA Sequence Visualization Based on Entropy Distribution
%A 杨宸
%A 郑智捷
%J Hans Journal of Computational Biology
%P 21-29
%@ 2164-5434
%D 2021
%I Hans Publishing
%R 10.12677/HJCB.2021.112003
%X 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。<br />
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.
%K 新冠病毒，DNA序列，熵，可视化分析<br>Novel Coronavirus
%K DNA Sequence
%K Entropy
%K Visualization Analysis
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=43003