基于元胞自动机图的2019-nCoV溯源研究
2019-nCoV Traceability Research Based on Cellular Automata Diagram
DOI: 10.12677/HJCB.2020.103004, PDF,    国家自然科学基金支持
作者: 薛广富, 肖绚*, 许召春*：景德镇陶瓷大学生物大数据实验室，江西 景德镇
关键词: 元胞自动机；基因序列可视化；2019-nCov；Canny边缘检测；结构相似性；Cellular Automata； Gene Sequence Visualization； 2019-nCoV； Canny Edge Detection Method； Struc-tural Similarity
摘要: 病毒溯源是研究病毒人际传播规律和演化历史，发现病毒的传播机理，并寻找病毒源头是控制疫情的核心科研攻关环节。本文采用元胞自动机将病毒的基因组数据转换为图像，使用Canny边缘检测方法生成特征图像，采用SSIM值评估病毒序列特征图像的相似性，基于病毒序列图像相似性的聚类热图和A-T含量曲线，发现蝙蝠冠状病毒RaTG13和穿山甲冠状病毒在各个指标中都与2019-nCoV更为接近，进而推测出2019-nCoV可能来自蝙蝠，穿山甲可能是该病毒的中间宿主。
Abstract: Tracing the source of virus is the key link of scientific research to control the epidemic situation, which is to study the law of human transmission and evolution of virus, to understand the transmis-sion mechanism of virus and to find the source of virus. This paper uses cellular automata to convert the genome data of the virus into feature images, and the Canny edge detection method was pro-posed to generate feature images, while SSIM was calculated to measure the structural similarity between the feature images of the two virus sequences. Through drawing the sequence image structure similarity clustering heat map and A-T content curve, it is concluded that bat coronavirus RaTG13 and pangolin coronavirus are closer to 2019-nCoV in various indicators, and it is speculated that 2019-nCoV may come from bats, and pangolin may be the intermediate host of the virus.
文章引用：薛广富, 肖绚, 许召春. 基于元胞自动机图的2019-nCoV溯源研究[J]. 计算生物学, 2020, 10(3): 31-40. https://doi.org/10.12677/HJCB.2020.103004

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