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.

Info

Members (researchers): Miguel Álvarez Herrera

Research Groups: PathoGenOmics

Contact Email: pathogenomic@uv.es

Tool Repository: https://github.com/PathoGenOmics-Lab/VIPERA

Documentation: https://github.com/PathoGenOmics-Lab/VIPERA/blob/main/config/README.md

Publications DOI: https://doi.org/10.1093/ve/veae018

Application domain:

Data Analysis, Genomics, High-performance Computing, Sequence analysis, Standards in Computational Biology, Workflow managers

Technical details
Type of application
  • Command line pipeline
Software compatibility
Hardware requirements
  • From workstations to supercomputers
Programming language
  • Python
  • R
Type of containerization
  • Conda
  • Singularity/AppTainer
Wrapper type
  • Snakemake
Input file formats
  • bam
  • fasta
  • tsv
Output file formats
  • csv
  • fasta
  • html
  • Other
  • tsv
Compatibility with other tools