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 accepte...

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Autores principales: Cacciabue, Marco, Marcone, Débora N.
Formato: Artículo
Lenguaje:Inglés
Publicado: John Wiley & Sons 2023
Materias:
CLADOS
GRUPOS GENETICOS
HEMAGLUTININA
INFLUENZA
APRENDIZAJE AUTOMÁTICO
SECUENCIA
SUBCLADOS
SUBTIPIFICACIÓN
Acceso en línea:https://repositorio.uca.edu.ar/handle/123456789/16351
Aporte de:
Repositorio Institucional de la Universidad Católica Argentina (UCA) de Universidad Católica Argentina
id I33-R139-123456789-16351
record_format dspace
spelling I33-R139-123456789-163512023-05-17T05:01:08Z Infinity: A fast machine learning-based application for human influenza A and B virus subtyping Cacciabue, Marco Marcone, Débora N. CLADOS GRUPOS GENETICOS HEMAGLUTININA INFLUENZA APRENDIZAJE AUTOMÁTICO SECUENCIA SUBCLADOS SUBTIPIFICACIÓN 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... 2023-05-16T13:49:12Z 2023-05-16T13:49:12Z 2023 Artículo 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 1750-2659 (online) 1750-2640 (impreso) https://repositorio.uca.edu.ar/handle/123456789/16351 10.1111/irv.13096 eng Acceso abierto http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf John Wiley & Sons Influenza and Other Respiratory Viruses. Vol.17, No.1, 2023
institution Universidad Católica Argentina
institution_str I-33
repository_str R-139
collection Repositorio Institucional de la Universidad Católica Argentina (UCA)
language Inglés
topic CLADOS
GRUPOS GENETICOS
HEMAGLUTININA
INFLUENZA
APRENDIZAJE AUTOMÁTICO
SECUENCIA
SUBCLADOS
SUBTIPIFICACIÓN
spellingShingle CLADOS
GRUPOS GENETICOS
HEMAGLUTININA
INFLUENZA
APRENDIZAJE AUTOMÁTICO
SECUENCIA
SUBCLADOS
SUBTIPIFICACIÓN
Cacciabue, Marco
Marcone, Débora N.
Infinity: A fast machine learning-based application for human influenza A and B virus subtyping
topic_facet CLADOS
GRUPOS GENETICOS
HEMAGLUTININA
INFLUENZA
APRENDIZAJE AUTOMÁTICO
SECUENCIA
SUBCLADOS
SUBTIPIFICACIÓN
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
author Cacciabue, Marco
Marcone, Débora N.
author_facet Cacciabue, Marco
Marcone, Débora N.
author_sort Cacciabue, Marco
title 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_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
publisher John Wiley & Sons
publishDate 2023
url https://repositorio.uca.edu.ar/handle/123456789/16351
work_keys_str_mv AT cacciabuemarco infinityafastmachinelearningbasedapplicationforhumaninfluenzaaandbvirussubtyping
AT marconedeboran infinityafastmachinelearningbasedapplicationforhumaninfluenzaaandbvirussubtyping
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