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INFINITy : A fast machine learning-based application for human influenza A and B virus subtyping
Resumen
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
[ver mas...]
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.
[Cerrar]
Autor
Cacciabue, Marco Polo Domingo;
Marcone, Débora Natalia;
Fuente
Influenza and other Respiratory Viruses 17 (1) : e13096 (Enero 2023)
Fecha
2023-01
Editorial
Wiley
ISSN
1750-2659
Formato
pdf
Tipo de documento
artículo
Palabras Claves
Derechos de acceso
Abierto
Excepto donde se diga explicitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)