Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/337867
COMPARTIR / EXPORTAR:
SHARE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | VIPERA: Viral Intra-Patient Evolution Reporting and Analysis |
Autor: | Álvarez-Herrera, Miguel; Sevilla, Jordi CSIC; Ruiz-Rodríguez, Paula CSIC ORCID ; Vergara, Andrea; Vila, Jordi; Cano-Jiménez, Pablo CSIC ORCID; González-Candelas, Fernando CSIC ORCID; Comas, Iñaki CSIC ORCID ; Coscollá, Mireia CSIC ORCID | Palabras clave: | SARS-CoV-2 Within-host evolution Serially-sampled infection Intra-patient diversity Snakemake workflow Bioinformatics |
Fecha de publicación: | 25-oct-2023 | Editor: | BioRxiv | Citación: | Álvarez-Herrera, Miguel; Sevilla, Jordi; Ruiz-Rodríguez, Paula; Vergara, Andrea; Vila, Jordi; Cano-Jiménez, Pablo; González-Candelas, Fernando; Comas, Iñaki; Coscollá, Mireia; 2023; VIPERA: Viral Intra-Patient Evolution Reporting and Analysis; BioRxiv; https://doi.org/10.1101/2023.10.24.561010 | Resumen: | Viral mutations within patients nurture the adaptive potential of SARS-CoV-2 during chronic infections, which are a potential source of variants of concern. However, there is no integrated framework for the evolutionary analysis of intra-patient SARS-CoV-2 serial samples. Herein we describe VIPERA (Viral Intra-Patient Evolution Reporting and Analysis), a new software that integrates the evaluation of the intra-patient ancestry of SARS-CoV-2 sequences with the analysis of evolutionary trajectories of serial sequences from the same viral infection. It has been validated using positive and negative control datasets and successfully applied to a novel case, contributing to easy and automatic analysis of intra-patient SARS-CoV-2 sequences. | Versión del editor: | https://doi.org/10.1101/2023.10.24.561010 | URI: | http://hdl.handle.net/10261/337867 | DOI: | 10.1101/2023.10.24.561010 |
Aparece en las colecciones: | (PTI Salud Global) Colección Especial COVID-19 (IBV) Artículos (I2SysBio) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
2023.10.24.561010v1.full.pdf | 1,87 MB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
Page view(s)
56
checked on 30-abr-2024
Download(s)
21
checked on 30-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
Este item está licenciado bajo una Licencia Creative Commons