Author: Markus Luczak-Roesch
Title: Networks of information token recurrences derived from genomic sequences may reveal hidden patterns in epidemic outbreaks: A case study of the 2019-nCoV coronavirus. Document date: 2020_2_11
ID: kevrp8rg_36
Snippet: • A kind of international cluster (samples from Australia, the USA, England, Finland and Belgium) is represented by the dark blue cluster (cluster 7). Figure 4 . Weighted TIC network. From the original TIC network we generate a weighted network by collapsing all edges between the same vertices to unique edges weighted by the sum of the collapsed edges. The colours represent the nine identified network clusters. Node size represents the degree a.....
Document: • A kind of international cluster (samples from Australia, the USA, England, Finland and Belgium) is represented by the dark blue cluster (cluster 7). Figure 4 . Weighted TIC network. From the original TIC network we generate a weighted network by collapsing all edges between the same vertices to unique edges weighted by the sum of the collapsed edges. The colours represent the nine identified network clusters. Node size represents the degree and edge thickness represents edge weight (in the sense that higher edge weight indicates a higher amount of codon identifiers shared by two vertices). Numeric indices before the genome identifiers represent the progression stage index of the particular vertex in the sequence of all ordered nucleotide sequences we analysed.
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