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_14
Snippet: The TIC network we derive in the way described before can be analysed in a variety of ways. Information-theoretic and network-theoretic measures have been introduced as the base framework to start the analysis from [16] . In particular we perform (1) an analysis of the information token entropy and evenness over time, (2) an analysis of network clusters of sequences that can be detected in the TIC network, and (3) an analysis of the intra-cluster.....
Document: The TIC network we derive in the way described before can be analysed in a variety of ways. Information-theoretic and network-theoretic measures have been introduced as the base framework to start the analysis from [16] . In particular we perform (1) an analysis of the information token entropy and evenness over time, (2) an analysis of network clusters of sequences that can be detected in the TIC network, and (3) an analysis of the intra-cluster and inter-cluster nucleotide similarity of the original sequences.
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