INFINITy : A fast machine learning-based application for human influenza A and B virus subtyping
- Autores
- Cacciabue, Marco Polo Domingo; Marcone, Débora Natalia
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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 - Fuente
- Influenza and other Respiratory Viruses 17 (1) : e13096 (Enero 2023)
- Materia
-
Machine Learning
Human Diseases
Influenzavirus
Aprendizaje Automático
Enfermedades Humanas - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/15301
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INFINITy : A fast machine learning-based application for human influenza A and B virus subtypingCacciabue, Marco Polo DomingoMarcone, Débora NataliaMachine LearningHuman DiseasesInfluenzavirusAprendizaje AutomáticoEnfermedades HumanasInfluenza 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 BiotecnologíaFil: Cacciabue, Marco Polo Domingo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Cacciabue, Marco Polo Domingo. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cacciabue, Marco Polo Domingo. Universidad Nacional de Luján. Departamento de Ciencias Básicas; ArgentinaFil: Marcone, Débora Natalia. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Departamento de Microbiología, Inmunología, Biotecnología y Genética. Cátedra de Virología; ArgentinaFil: Marcone, Débora Natalia. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Marcone, Débora Natalia. Pontificia Universidad Católica Argentina. Facultad de Ciencias Médicas. Cátedra de Microbiología, Parasitología y Virología; ArgentinaWiley2023-09-25T14:31:53Z2023-09-25T14:31:53Z2023-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/15301https://onlinelibrary.wiley.com/doi/10.1111/irv.130961750-2659https://doi.org/10.1111/irv.13096Influenza and other Respiratory Viruses 17 (1) : e13096 (Enero 2023)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-29T13:46:06Zoai:localhost:20.500.12123/15301instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:46:07.331INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
dc.title.none.fl_str_mv |
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 |
spellingShingle |
INFINITy : A fast machine learning-based application for human influenza A and B virus subtyping Cacciabue, Marco Polo Domingo Machine Learning Human Diseases Influenzavirus Aprendizaje Automático Enfermedades Humanas |
title_short |
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_sort |
INFINITy : A fast machine learning-based application for human influenza A and B virus subtyping |
dc.creator.none.fl_str_mv |
Cacciabue, Marco Polo Domingo Marcone, Débora Natalia |
author |
Cacciabue, Marco Polo Domingo |
author_facet |
Cacciabue, Marco Polo Domingo Marcone, Débora Natalia |
author_role |
author |
author2 |
Marcone, Débora Natalia |
author2_role |
author |
dc.subject.none.fl_str_mv |
Machine Learning Human Diseases Influenzavirus Aprendizaje Automático Enfermedades Humanas |
topic |
Machine Learning Human Diseases Influenzavirus Aprendizaje Automático Enfermedades Humanas |
dc.description.none.fl_txt_mv |
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 |
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. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-09-25T14:31:53Z 2023-09-25T14:31:53Z 2023-01 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
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 |
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 |
identifier_str_mv |
1750-2659 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
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) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Wiley |
publisher.none.fl_str_mv |
Wiley |
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Influenza and other Respiratory Viruses 17 (1) : e13096 (Enero 2023) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
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INTA Digital (INTA) |
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INTA Digital (INTA) |
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Instituto Nacional de Tecnología Agropecuaria |
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INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria |
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tripaldi.nicolas@inta.gob.ar |
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