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The worldwide spread of SARS-CoV-2 virus increases interest in the research of virus genomics This work aims to develop a new fast DNA walk algorithm based on big-data techniques and its following applications to multi-scale genomic analyses of viruses. In this paper, the distributions of atg codon-starting triplets are considered as the RNA schemes having relative stability towards mutations. The one-dimensional atg-trajectories are enabled by plotting positions of single nucleotides for tracking all possible modifications of RNAs. This multi-scale imaging with the geometry fractal analysis allows building the hierarchically classed trajectories on one plot, starting with the RNA fragments down to the walks of single nucleotides. The developed approach is applied to the study of genomes SARS CoV-2, MERS, Dengue, and Ebola viruses published in GenBank and GISAID databases to discover some essential properties of studied RNAs not seen before by other models. Funding Information: Not applicable. Declaration of Interests: The authors declare that they have no conflicts of interest that are relevant to this research paper. |
