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
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

