Selected article for: "distinct occurrence and genetic evolution"
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_41
    Snippet: In this paper we presented a novel way to model, visualise and analyse the temporal dynamics of an epidemic outbreak. We applied Transcendental Information Cascades to capture the recurrence and co-occurrence of unique codon identifiers over distinct and temporally ordered nucleotide sequences derived from genetic samples taken from different human subjects. Our case study was focused on the recent outbreak of the novel 2019-nCoV coronavirus. We .....
    Document: In this paper we presented a novel way to model, visualise and analyse the temporal dynamics of an epidemic outbreak. We applied Transcendental Information Cascades to capture the recurrence and co-occurrence of unique codon identifiers over distinct and temporally ordered nucleotide sequences derived from genetic samples taken from different human subjects. Our case study was focused on the recent outbreak of the novel 2019-nCoV coronavirus. We find clusters and evolution pathways of virus genomes in the constructed Transcendental Information Cascade that are candidates to be investigated further for potential human-to-human transmission paths and genetic evolution of the 2019-nCoV coronavirus.

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