INFINITy : A fast machine learning-based application for human influenza A and B virus subtyping
Influenza viruses are one of the main agents causing acute respiratory infections (ARI) in humans resulting in a large amount of illness and death globally.1, 2 The influenza viruses classification is based on the nomenclature proposed by the World Health Organization (WHO)3 that is widely accepted...
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| Formato: | Artículo |
| Lenguaje: | Inglés |
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Wiley
2023
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| Acceso en línea: | http://hdl.handle.net/20.500.12123/15301 https://onlinelibrary.wiley.com/doi/10.1111/irv.13096 https://doi.org/10.1111/irv.13096 |
| _version_ | 1855485541808603136 |
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| author | Cacciabue, Marco Polo Domingo Marcone, Débora Natalia |
| author_browse | Cacciabue, Marco Polo Domingo Marcone, Débora Natalia |
| author_facet | Cacciabue, Marco Polo Domingo Marcone, Débora Natalia |
| author_sort | Cacciabue, Marco Polo Domingo |
| collection | INTA Digital |
| description | Influenza viruses are one of the main agents causing acute respiratory infections (ARI) in humans resulting in a large amount of illness and death globally.1, 2 The influenza viruses classification is based on the nomenclature proposed by the World Health Organization (WHO)3 that is widely accepted and used by the medical and scientific communities throughout the world. Since the pandemic in 2009, two subtypes of human influenza A viruses, A(H1N1)pdm09 and A(H3N2), and two lineages of influenza B, B/Victoria and B/Yamagata, have been responsible for the vast majority of cases each year. Within each subtype and lineage, different clades and genetic groups were described to reflect the continuous viral evolution, driven by antigenic drift. The WHO Global Influenza Surveillance and Response System (GISRS) studies human influenza viruses from >110 countries, to monitor circulating strains, understand epidemiology and evolution, and contribute to verify the vaccine effectiveness and update its formulation each year.4, 5 A growing number of laboratories and research centers is contributing to this initiative by sequencing the whole viral genome or the hemagglutinin (HA) gene from local strains. |
| format | Artículo |
| id | INTA15301 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Wiley |
| publisherStr | Wiley |
| record_format | dspace |
| spelling | INTA153012023-09-25T14:36:56Z INFINITy : A fast machine learning-based application for human influenza A and B virus subtyping Cacciabue, Marco Polo Domingo Marcone, Débora Natalia Machine Learning Human Diseases Influenzavirus Aprendizaje Automático Enfermedades Humanas Influenza viruses are one of the main agents causing acute respiratory infections (ARI) in humans resulting in a large amount of illness and death globally.1, 2 The influenza viruses classification is based on the nomenclature proposed by the World Health Organization (WHO)3 that is widely accepted and used by the medical and scientific communities throughout the world. Since the pandemic in 2009, two subtypes of human influenza A viruses, A(H1N1)pdm09 and A(H3N2), and two lineages of influenza B, B/Victoria and B/Yamagata, have been responsible for the vast majority of cases each year. Within each subtype and lineage, different clades and genetic groups were described to reflect the continuous viral evolution, driven by antigenic drift. The WHO Global Influenza Surveillance and Response System (GISRS) studies human influenza viruses from >110 countries, to monitor circulating strains, understand epidemiology and evolution, and contribute to verify the vaccine effectiveness and update its formulation each year.4, 5 A growing number of laboratories and research centers is contributing to this initiative by sequencing the whole viral genome or the hemagglutinin (HA) gene from local strains. Instituto de Biotecnología Fil: Cacciabue, Marco Polo Domingo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; Argentina Fil: Cacciabue, Marco Polo Domingo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Cacciabue, Marco Polo Domingo. Universidad Nacional de Luján. Departamento de Ciencias Básicas; Argentina Fil: Marcone, Débora Natalia. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología, Biotecnología y Genética. Cátedra de Virología; Argentina Fil: Marcone, Débora Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Marcone, Débora Natalia. Pontificia Universidad Católica Argentina. Facultad de Ciencias Médicas. Cátedra de Microbiología, Parasitología y Virología; Argentina 2023-09-25T14:31:53Z 2023-09-25T14:31:53Z 2023-01 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/15301 https://onlinelibrary.wiley.com/doi/10.1111/irv.13096 1750-2659 https://doi.org/10.1111/irv.13096 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Wiley Influenza and other Respiratory Viruses 17 (1) : e13096 (Enero 2023) |
| spellingShingle | Machine Learning Human Diseases Influenzavirus Aprendizaje Automático Enfermedades Humanas Cacciabue, Marco Polo Domingo Marcone, Débora Natalia INFINITy : A fast machine learning-based application for human influenza A and B virus subtyping |
| title | INFINITy : A fast machine learning-based application for human influenza A and B virus subtyping |
| title_full | INFINITy : A fast machine learning-based application for human influenza A and B virus subtyping |
| title_fullStr | INFINITy : A fast machine learning-based application for human influenza A and B virus subtyping |
| title_full_unstemmed | INFINITy : A fast machine learning-based application for human influenza A and B virus subtyping |
| title_short | INFINITy : A fast machine learning-based application for human influenza A and B virus subtyping |
| title_sort | infinity a fast machine learning based application for human influenza a and b virus subtyping |
| topic | Machine Learning Human Diseases Influenzavirus Aprendizaje Automático Enfermedades Humanas |
| url | http://hdl.handle.net/20.500.12123/15301 https://onlinelibrary.wiley.com/doi/10.1111/irv.13096 https://doi.org/10.1111/irv.13096 |
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