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Orcid Publication

Detalle de: VIPERA: Viral Intra-Patient Evolution Reporting and Analysis

Title VIPERA: Viral Intra-Patient Evolution Reporting and Analysis
Abstract

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.

Apa Reference Álvarez-Herrera, M., Sevilla, J., Ruiz-Rodriguez, P., Vergara, A., Vila, J., Cano-Jiménez, P., González-Candelas, F., Comas, I. & Coscollá, M. (2023). VIPERA: Viral Intra-Patient Evolution Reporting and Analysis. 10.1101/2023.10.24.561010
Doi 10.1101/2023.10.24.561010
Publication Date 25 Oct 2023
Publication Type Preprint
Researcher Iñaki Comas Espadas
Ontology Bioinformatics Software and Tools
Research Groups
Tools

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