COVID-19 is outbreaking in worldwide. It caused millions of infections, killing hundreds of thousands of people and making all countries loss immeasurable trade. For finding the secret of SARS-CoV-2, researchers need to analyze various variation information such as multiple coronaviruses in different times over distinct countries. In this paper, the metagenetic analysis system MAS is used to analyze SARS-CoV-2 genomes collected from different countries as input datasets, and special genomic indices are provided to be a global characteristic quantity based on the A1 and C1 modules of the MAS for visualizations. In this method, one RNA sequence is split into M segments and counting the number of genetic probability measures for 16 combinations of four genomic symbols. After statistical probability processes, each probability distribution can be transferred into an entropy quantity on both 2D and 1D histograms to show these results for all collected genomes. Under this approach, a pair of combinatorial entropies determine a 2D genomic index map to generate a heatmap for more massive clusters of genomes with similarity contents to provide basic quantitative in variants to organize further collected genomes as a construction of a phylogenetic tree. Further explorations are required.