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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/8337| VIPERA: Viral Intra-Patient Evolution Reporting and Analysis | |
| Miguel Álvarez Herrera Jordi Sevilla Fortuny Paula Ruiz-Rodriguez ANDREA VERGARA Jordi Vila Pablo Cano Jiménez Fernando Gonzalez_Candelas Iñaki Comas Mireia Coscolla | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| https://doi.org/10.1101/2023.10.24.561010 | |
| https://www.biorxiv.org/content/10.1101/2023.10.24.561010v1 | |
| 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. We have validated it using positive and negative control datasets and have successfully applied it to a new case, thus enabling an easy and automatic analysis of intra-patient SARS-CoV-2 sequences. | |
| bioRxiv | |
| 25-10-2023 | |
| Preimpreso | |
| Inglés | |
| Público en general | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Materiales de Consulta y Comunicados Técnicos |
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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| VIPERA_Viral Intra-Patient Evolution Reporting and Analysis.pdf | 1.87 MB | Adobe PDF | Visualizar/Abrir |