VIPERA: Viral Intra-Patient Evolution Reporting and Analysis

Alvarez-Herrera, M.; Sevilla, J.; Ruiz-Rodriguez, P.; Vergara, A.; Vila, J.; Cano-Jimenez, P.; Gonzalez-Candelas, F.; Comas, I.; Coscolla, M.

doi:10.1101/2023.10.24.561010

bioRxiv · 10.1101/2023.10.24.561010

VIPERA: Viral Intra-Patient Evolution Reporting and Analysis

Alvarez-Herrera, M.·Sevilla, J.·Ruiz-Rodriguez, P.·Vergara, A.·Vila, J.·Cano-Jimenez, P.·Gonzalez-Candelas, F.·Comas, I.·Coscolla, M.

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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.

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Alvarez-Herrera, M., Sevilla, J., Ruiz-Rodriguez, P., Vergara, A., Vila, J., Cano-Jimenez, P., Gonzalez-Candelas, F., Comas, I., Coscolla, M.. 2023-10-25. VIPERA: Viral Intra-Patient Evolution Reporting and Analysis. https://doi.org/10.1101/2023.10.24.561010

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