Author: Zhengqiao Zhao; Bahrad A. Sokhansanj; Gail L. Rosen
Title: Characterizing geographical and temporal dynamics of novel coronavirus SARS-CoV-2 using informative subtype markers Document date: 2020_4_9
ID: 9sk11214_36
Snippet: As the growing diversity shown in Figure 15 illustrates, the number of ISMs is increasing, thus motivating 506 6 The cumulative reported Worldwide cases were obtained from the Our World In Data Project, which reported them from the European Center for Disease Prevention and Control, made available at https://ourworldindata.org/ coronavirus-source-data. The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/1.....
Document: As the growing diversity shown in Figure 15 illustrates, the number of ISMs is increasing, thus motivating 506 6 The cumulative reported Worldwide cases were obtained from the Our World In Data Project, which reported them from the European Center for Disease Prevention and Control, made available at https://ourworldindata.org/ coronavirus-source-data. The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.07.030759 doi: bioRxiv preprint the development of methods to group and organize ISMs into different levels of subtyping. As an initial illustration of this approach, the tree shown in Figure 16 illustrates relationships between geographical and 508 temporal subtypes, which suggests that subtyping can be done using "consensus ISMs" that include common 509 subunits of ISMs beneath them in the hierarchy.
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