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
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/15301
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spelling 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)2025-10-23T11:18:28Zoai: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:l2025-10-23 11:18:29.307INTA 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
dc.source.none.fl_str_mv Influenza and other Respiratory Viruses 17 (1) : e13096 (Enero 2023)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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