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Tool

VIPERA

A Snakemake workflow for SARS-CoV-2 Viral Intra-Patient Evolution Reporting and Analysis.

Viral mutations within patients nurture the adaptive potential of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during chronic infections, which are a potential source of variants of concern. Viral Intra-Patient Evolution Reporting and Analysis (VIPERA) is a user-friendly workflow to easily identify and study within-host evolution in SARS-CoV-2 serially sampled infections. First, it provides an aggregate of population genomics and phylogenetic analyses that allows researchers to determine if a collection of SARS-CoV-2 samples originates from a single-virus, serially sampled infection. Then, it provides insights into intra-host evolutionary dynamics, tracking variant trajectories and selective pressure over time. These results are automatically packed in an HTML report that serves as a guide for prioritizing and refining subsequent analyses using the newly generated data for downstream studies.

Basic Information

Repository https://github.com/PathoGenOmics-Lab/VIPERA
Documentation https://github.com/PathoGenOmics-Lab/VIPERA/blob/main/config/README.md
Seminar Miguel Alvarez Herrera (I2SysBio-CSIC) presents the tools VIPERA & MIPERA
Main publication (DOI) 10.1093/ve/veae018 view
Contact email pathogenomic@uv.es
Authors/Maintainers Miguel Álvarez Herrera
Type of application Command line pipeline
Programming languages PythonR
Keywords Omics, Computational Methods, Resources, Data Analysis, Bioinformatics Software and Tools, Bioinformatics enabling techniques, Standards in Computational Biology, Genomics, Computational Techniques, High-performance Computing, Workflow managers, Sequence analysis

Technical details

Input file formats tsv, bam, fasta
Output file formats csv, tsv, fasta, html, Other
Software compatibility Linux
Hardware requirements From workstations to supercomputers
Type of containerization Conda, Singularity/AppTainer
Wrapper type Snakemake
Compatible tools
Funding resource National competitive funding, Regional/local competitive funding
Funding support Regional/local competitive funding
Statistics
Unique users (last 12 months)
Unique users (since first release)
Software downloads (last 12 months)
Software downloads (since first release)
Jobs submitted (last 12 months)
Jobs submitted (since first release)
Repository clones (last 12 months)
Repository clones (since first release)
Citations (last 12 months) <100 (~0 as of 15/10/2026)
Citations (since first release) <100 (1 as of 15/10/2026)
Early-stage researcher effort (development) 2
Early-stage researcher effort (maintenance) 1
Technician-supported effort (development)
Technician-supported effort (maintenance)
Other effort (development)
Other effort (maintenance)
Total effort (development) 2
Total effort (maintenance) 1

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