Discovering Mathematical Patterns Behind HIV-1 Genetic Recombination: a new methodology to identify viral features - Supplementary Information

Citation Author(s):
Ana
Guerrero-Tamayo
Faculty of Engineering - University of Deusto
Borja
Sanz Urquijo
Faculty of Engineering - University of Deusto
Concepción
Casado
National Microbiology Center (NMC) - Instituto de Salud Carlos III (ISCIII)
María-Dolores
Moragues Tosantos
Faculty of Medicine and Nursing University of the Basque Country UPV/EHU
Isabel
Olivares
National Microbiology Center (NMC) - Instituto de Salud Carlos III (ISCIII)
Iker
Pastor-López
Faculty of Engineering - University of Deusto
Submitted by:
Ana Guerrero-Tamayo
Last updated:
Tue, 09/12/2023 - 06:02
DOI:
10.21227/2917-1s55
Research Article Link:
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Abstract 

This dataset contains the Supplementary Information of the article "Discovering Mathematical Patterns Behind HIV-1 Genetic Recombination: a new methodology to identify viral features" (Manuscript DOI: 10.1109/ACCESS.2023.3311752). It contains the two datasets used (concatenated and superposed). The results of all experiments and training curves are available at the Supplementary Information - Training Curves folder. The hot maps of the complete dataset are available at the Supplementary Information - Hot Zones folder. The complete HIV-1 phylogenetic tree is available at the Supplementary Information - Phylogenetic Tree folder. To facilitate the biological meaning of the hot areas, we provide a set of figures with their scaled reference. See Supplementary Information -Hot Zones Reference Information. 

Instructions: 

See the article "Discovering Mathematical Patterns Behind HIV-1 Genetic Recombination: a new methodology to identify viral features" (https://doi.org/10.1109/ACCESS.2023.3311752). 

Funding Agency: 
Universidad de Deusto