Back to results
Bibliographic record · Consultation and access
Artículo

INFINITy: A fast machine learning-based application for human influenza A and B virus subtyping

Cacciabue, Marco Polo Domingo et al · Wiley Blackwell Publishing, Inc · 2023

Open-access full text
Quick overview. Review the resource’s basic details, then access the content using the main button. This page shows only the information needed to identify, cite, and open the work.

Resource access

Elegí el proveedor desde el que querés acceder.

CONICET Digital CONICET Digital OAI-PMH
Entrar por CONICET Digital
DOAJ DOAJ - Open Access Journals
Entrar por DOAJ
Main access

Open-access full text

Texto completo identificado como acceso abierto.
Open text
Otras opciones de acceso Elegí el proveedor disponible para esta ficha.
Importación CSV DOAJ - Open Access Journals
Acceder por Importación CSV
DOAJ CSV Export DOAJ - Open Access Journals
Acceder por DOAJ CSV Export

Other available options

When the resource is available on more than one platform, you can choose where to open it.

Importación CSV DOAJ - Open Access Journals Access available
Open
DOAJ CSV Export DOAJ - Open Access Journals Access available
Open

Summary

Descripción general del contenido del recurso.

INFINITy isa fast and accurate tool for classifying human influenza A and B virussequences into types, lineages, clades, and subclades. It is an applicationbased on an alignment-free machine learning algorithm that can classify bothcomplete hemagglutinin (HA) gene sequences or the HA1 subunit coding sequence.INFINITy was developed as a web-application and is available to run locally for R and Rstudio users. Fil: Cacciabue, Marco Polo Domingo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina. Universidad Nacional de Luján; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Marcone, Débora Natalia. Pontificia Universidad Católica Argentina "Santa María de los Buenos Aires"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina

How to cite

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

Cacciabue, M. P. D. E. A. (2023). INFINITy: A fast machine learning-based application for human influenza A and B virus subtyping. http://hdl.handle.net/11336/219494

MLA

Cacciabue, Marco Polo Domingo et al. "INFINITy: A fast machine learning-based application for human influenza A and B virus subtyping." 2023. http://hdl.handle.net/11336/219494.

Chicago

Cacciabue, Marco Polo Domingo et al. 2023. "INFINITy: A fast machine learning-based application for human influenza A and B virus subtyping.". http://hdl.handle.net/11336/219494.

Harvard

Cacciabue, M. P. D. E. A. 2023, INFINITy: A fast machine learning-based application for human influenza A and B virus subtyping, Wiley Blackwell Publishing, Inc, available at: http://hdl.handle.net/11336/219494 [Accessed 8 Aug. 2026].

Share and print

Save the record, copy its permanent link, or print it as a PDF.

Export reference

You can export the record in common formats for use in a reference manager.

Resource details

Bibliographic information to help confirm that this is the correct material.

Title
INFINITy: A fast machine learning-based application for human influenza A and B virus subtyping
Author / contributors
Cacciabue, Marco Polo Domingo et al
Publisher
Wiley Blackwell Publishing, Inc
Publication year
2023
ISSN
1750-2640
ISSN
1750-2640
Language
English

Subjects

Explore related resources through these subjects.

Copied