%0 Journal Article
%T 奥密克戎全基因序列分段测量可视化分析<br>Visual Analysis of Whole Gene Sequence Segmentation Measurement in Omicron
%A 杨喜燕
%A 段碧青
%A 赵小青
%A 郑智捷
%J Hans Journal of Computational Biology
%P 49-57
%@ 2164-5434
%D 2022
%I Hans Publishing
%R 10.12677/HJCB.2022.123007
%X 新型冠状病毒在全球范围内爆发以来，先后发生了多次变异。病毒的变异在一定程度上逃避了免疫反应。于2021年南非首次检测到的奥密克戎(Omicron, B.1.1.529)变异株传染率极高，因此也对新型冠状病毒肺炎(COVID-19)的预防和控制带来了更为严峻的挑战。本文将针对奥密克戎全基因序列进行变值测量可视化处理和分析，运用MATLAB软件对其基因序列进行分段测量的可视化展示及分析。可视化展示和分析的结果能够为奥密克戎变异株的进一步研究提供一定的参考。<br />
Since the outbreak of novel coronavirus in the world, there have been many variations. The infection rate of Omicron (B.1.1.529), which was first detected in South Africa in 2021, is extremely high, so it also poses a more severe challenge to the prevention and control of novel coronavirus (COVID-19). In this paper, the whole gene sequence of Omicron will be displayed and analyzed by a visual two-dimensional projection of segmented measurement using MATLAB software. The visualization results show unique graphic features and symmetry, which can provide some reference for further study of Omicron mutant.
%K 奥密克戎，分段测量，可视化，Omicron
%K Segmented Measurement
%K Visualization
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=55785