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Research Article
Spread of SARS-CoV-2 Genomes on Genomic Index Maps of Hierarchy
Jeffrey Zheng
Yunnan University
Corresponding Author
ORCiD: https://orcid.org/0000-0003-4225-7077
License:
This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License
Using visual technologies, COVID-19 patients worldwide are conveniently described by position information to collect samples, and modern GIS maps are useful to show influenced flows and numbers of patients on various regions of a pendamic. From an analysis viewpoint, it is more interesting to organize genomic information into a phylogenic tree with multiple branches and leaves in representations. Clusters of genomes are organized as phylogenic trees to represent intrinsic information of genomes. However, there are structural difficulties in projecting phylogenetic information into 2D distributions as GIS maps naturally. In this paper, a novel projection is proposed to arrange SARS-CoV-2 genomes by genomic indexes to make a structural organization as 2D GIS maps. For any genome, there is a unique invariant under certain conditions to provide an absolute position on a specific region. In this hierarchical framework, it is possible to use a visual tool to represent any selected region for clustering genomes on refined effects. Complementary visual effects are provided with phylogenetic tree technology. Sample regions and various projections show spread effects of five thousand SARS-CoV-2 genomes in 72 countries, and four special countries are selected on genomic index maps.
Keywords
genomic index, visual maps, phylogeny, projection, information entropy, global invariant, hierarchical projection
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Jeffrey Zheng
commented on 16 September, 2020
A better version of the paper.
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This is a preprint. It has not completed peer review.
Research Article
Spread of SARS-CoV-2 Genomes on Genomic Index Maps of Hierarchy
Jeffrey Zheng
Yunnan University
Corresponding Author
ORCiD: https://orcid.org/0000-0003-4225-7077
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 3
Posted 16 Sep, 2020
Community comments: 1
Community comments: 1
Community comments: 4
Metrics
Comments: 1
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License
Using visual technologies, COVID-19 patients worldwide are conveniently described by position information to collect samples, and modern GIS maps are useful to show influenced flows and numbers of patients on various regions of a pendamic. From an analysis viewpoint, it is more interesting to organize genomic information into a phylogenic tree with multiple branches and leaves in representations. Clusters of genomes are organized as phylogenic trees to represent intrinsic information of genomes. However, there are structural difficulties in projecting phylogenetic information into 2D distributions as GIS maps naturally. In this paper, a novel projection is proposed to arrange SARS-CoV-2 genomes by genomic indexes to make a structural organization as 2D GIS maps. For any genome, there is a unique invariant under certain conditions to provide an absolute position on a specific region. In this hierarchical framework, it is possible to use a visual tool to represent any selected region for clustering genomes on refined effects. Complementary visual effects are provided with phylogenetic tree technology. Sample regions and various projections show spread effects of five thousand SARS-CoV-2 genomes in 72 countries, and four special countries are selected on genomic index maps.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the manuscript can be downloaded and accessed as a PDF.
Jeffrey Zheng
commented on 16 September, 2020
A better version of the paper.