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
Repositorio Institucional (UCA)
Institución
Pontificia Universidad Católica Argentina
OAI Identificador
oai:ucacris:123456789/16351

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oai_identifier_str oai:ucacris:123456789/16351
network_acronym_str RIUCA
repository_id_str 2585
network_name_str Repositorio Institucional (UCA)
spelling 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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score 13.070432