ViReMaShiny

ViReMaShiny visualizes and facilitates analysis of viral recombination events detected in next-generation sequencing (NGS) data to support interpretation of viral evolution and intrahost diversity.


Key Features:

  • Recombination visualization: Generates visual representations of recombination events across viral genomes to characterize event distribution and frequency.
  • Integration with ViReMa and BED format: Accepts BED-format output from ViReMa (Viral-Recombination-Mapper) for downstream visualization and analysis.
  • Standardized NGS data handling: Provides a consistent framework for visualizing recombination events derived from NGS datasets.
  • Support for recombination-derived products: Enables analysis relevant to chimeric viruses, structural variants, sub-genomic RNAs, and defective RNAs.

Scientific Applications:

  • Viral evolution and adaptation studies: Facilitates interpretation of recombination contributions to viral evolutionary dynamics and adaptation.
  • Characterization of recombinant and chimeric genomes: Supports identification and inspection of chimeric viruses and structural variants produced by recombination.
  • Sub-genomic and defective RNA analysis: Assists in detecting and describing sub-genomic RNAs and defective RNAs arising from recombination.
  • Intrahost diversity assessment: Enables analysis of recombination-driven diversity within infected hosts from NGS data.

Methodology:

Maps recombination events across viral genomes using data generated by NGS technologies and accepts BED-format outputs from ViReMa for visualization and analysis.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
R
Added:
9/27/2022
Last Updated:
9/27/2022

Operations

Publications

Yeung J, Routh AL. <i>ViReMaShiny</i> : an interactive application for analysis of viral recombination data. Bioinformatics. 2022;38(18):4420-4422. doi:10.1093/bioinformatics/btac522. PMID:35904541. PMCID:PMC9477530.

PMID: 35904541
Funding: - National Institutes of Health: 200-2021-11195, R21AI151725

Links