From December 2019, SARS-CoV-2 induced pneumonia broke out in Wuhan and then spread rapidly from multiple resources to other provinces and other cities in China. In this paper, genomes collected in four Chinese cities: Wuhan, Guangzhou, Shanghai, Hangzhou were analyzed as the A1 module of the MAS. Starting from the virus gene sequence itself, multiple probability statistics are applied to extract characteristics from virus genomes. Variations of genomes can be compared and visualized in such conditions. It is interesting to see various similar and different properties visualized under various groups after transformations. In this way, key mutation characteristics could be observed and this type of results is helpful for further scientific researches on COVID-19 applications.

From December 2019, SARS-CoV-2 induced pneumonia broke out in Wuhan and then spread rapidly from multiple resources to other provinces and other cities in China. In this paper, genomes collected in four Chinese cities: Wuhan, Guangzhou, Shanghai, Hangzhou were analyzed as the A1 module of the MAS. Starting from the virus gene sequence itself, multiple probability statistics are applied to extract characteristics from virus genomes. Variations of genomes can be compared and visualized in such conditions. It is interesting to see various similar and different properties visualized under various groups after transformations. In this way, key mutation characteristics could be observed and this type of results is helpful for further scientific researches on COVID-19 applications.