Infinity: A fast machine learning-based application for human influenza A and B virus subtyping
- Autores
- Cacciabue, Marco; Marcone, Débora N.
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Fil: Cacciabue, Marco. Instituto de Agrobiotecnología y Biología Molecular; Argentina
Fil: Cacciabue, Marco. Instituto Nacional de Tecnología Agropecuaria; Argentina
Fil: Cacciabue, Marco. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Cacciabue, Marco. Departamento de Ciencias Básicas, Universidad Nacional de Luján; Argentina
Fil: Marcone, Débora N. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Bacteriología y Virología Molecular; Argentina
Fil: Marcone, Débora N. Pontificia Universidad Católica Argentina. Facultad de Ciencias Médicas; Argentina
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... - Fuente
- Influenza and Other Respiratory Viruses. Vol.17, No.1, 2023
- Materia
-
CLADOS
GRUPOS GENETICOS
HEMAGLUTININA
INFLUENZA
APRENDIZAJE AUTOMÁTICO
SECUENCIA
SUBCLADOS
SUBTIPIFICACIÓN - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
- Institución
- Pontificia Universidad Católica Argentina
- OAI Identificador
- oai:ucacris:123456789/16351
Ver los metadatos del registro completo
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Infinity: A fast machine learning-based application for human influenza A and B virus subtypingCacciabue, MarcoMarcone, Débora N.CLADOSGRUPOS GENETICOSHEMAGLUTININAINFLUENZAAPRENDIZAJE AUTOMÁTICOSECUENCIASUBCLADOSSUBTIPIFICACIÓNFil: Cacciabue, Marco. Instituto de Agrobiotecnología y Biología Molecular; ArgentinaFil: Cacciabue, Marco. Instituto Nacional de Tecnología Agropecuaria; ArgentinaFil: Cacciabue, Marco. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Cacciabue, Marco. Departamento de Ciencias Básicas, Universidad Nacional de Luján; ArgentinaFil: Marcone, Débora N. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Bacteriología y Virología Molecular; ArgentinaFil: Marcone, Débora N. Pontificia Universidad Católica Argentina. Facultad de Ciencias Médicas; ArgentinaInfluenza 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...John Wiley & Sons2023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://repositorio.uca.edu.ar/handle/123456789/163511750-2659 (online)1750-2640 (impreso)10.1111/irv.13096Cacciabue, M., Marcone, D. N. Infinity: A fast machine learning-based application for human influenza A and B virus subtyping [en línea]. Influenza and Other Respiratory Viruses. 2023, 17(1). doi: 10.1111/irv.13096. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/16351Influenza and Other Respiratory Viruses. Vol.17, No.1, 2023reponame:Repositorio Institucional (UCA)instname:Pontificia Universidad Católica Argentinaenginfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/2025-07-03T10:59:15Zoai:ucacris:123456789/16351instacron:UCAInstitucionalhttps://repositorio.uca.edu.ar/Universidad privadaNo correspondehttps://repositorio.uca.edu.ar/oaiclaudia_fernandez@uca.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:25852025-07-03 10:59:15.88Repositorio Institucional (UCA) - Pontificia Universidad Católica Argentinafalse |
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 CLADOS GRUPOS GENETICOS HEMAGLUTININA INFLUENZA APRENDIZAJE AUTOMÁTICO SECUENCIA SUBCLADOS SUBTIPIFICACIÓN |
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 Marcone, Débora N. |
author |
Cacciabue, Marco |
author_facet |
Cacciabue, Marco Marcone, Débora N. |
author_role |
author |
author2 |
Marcone, Débora N. |
author2_role |
author |
dc.subject.none.fl_str_mv |
CLADOS GRUPOS GENETICOS HEMAGLUTININA INFLUENZA APRENDIZAJE AUTOMÁTICO SECUENCIA SUBCLADOS SUBTIPIFICACIÓN |
topic |
CLADOS GRUPOS GENETICOS HEMAGLUTININA INFLUENZA APRENDIZAJE AUTOMÁTICO SECUENCIA SUBCLADOS SUBTIPIFICACIÓN |
dc.description.none.fl_txt_mv |
Fil: Cacciabue, Marco. Instituto de Agrobiotecnología y Biología Molecular; Argentina Fil: Cacciabue, Marco. Instituto Nacional de Tecnología Agropecuaria; Argentina Fil: Cacciabue, Marco. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Cacciabue, Marco. Departamento de Ciencias Básicas, Universidad Nacional de Luján; Argentina Fil: Marcone, Débora N. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Bacteriología y Virología Molecular; Argentina Fil: Marcone, Débora N. Pontificia Universidad Católica Argentina. Facultad de Ciencias Médicas; Argentina 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... |
description |
Fil: Cacciabue, Marco. Instituto de Agrobiotecnología y Biología Molecular; Argentina |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023 |
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 |
https://repositorio.uca.edu.ar/handle/123456789/16351 1750-2659 (online) 1750-2640 (impreso) 10.1111/irv.13096 Cacciabue, M., Marcone, D. N. Infinity: A fast machine learning-based application for human influenza A and B virus subtyping [en línea]. Influenza and Other Respiratory Viruses. 2023, 17(1). doi: 10.1111/irv.13096. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/16351 |
url |
https://repositorio.uca.edu.ar/handle/123456789/16351 |
identifier_str_mv |
1750-2659 (online) 1750-2640 (impreso) 10.1111/irv.13096 Cacciabue, M., Marcone, D. N. Infinity: A fast machine learning-based application for human influenza A and B virus subtyping [en línea]. Influenza and Other Respiratory Viruses. 2023, 17(1). doi: 10.1111/irv.13096. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/16351 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/4.0/ |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
John Wiley & Sons |
publisher.none.fl_str_mv |
John Wiley & Sons |
dc.source.none.fl_str_mv |
Influenza and Other Respiratory Viruses. Vol.17, No.1, 2023 reponame:Repositorio Institucional (UCA) instname:Pontificia Universidad Católica Argentina |
reponame_str |
Repositorio Institucional (UCA) |
collection |
Repositorio Institucional (UCA) |
instname_str |
Pontificia Universidad Católica Argentina |
repository.name.fl_str_mv |
Repositorio Institucional (UCA) - Pontificia Universidad Católica Argentina |
repository.mail.fl_str_mv |
claudia_fernandez@uca.edu.ar |
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13.070432 |