VirusViz

VirusViz enables comparative analysis and visualization of viral sequences to support the study of viral evolution and variant characteristics.


Key Features:

  • Variant Comparison: Compares variants across viral species including SARS-CoV-2, SARS-CoV, MERS-CoV, Dengue, and Ebola.
  • Data Integration: Imports sequence data from ViruSurf and accepts user-provided multi-FASTA files with corresponding CSV metadata.
  • Variant Extraction Pipeline: Processes inputs through a bioinformatic pipeline that extracts nucleotide and amino acid variants.
  • Visualization Capabilities: Provides zooming, highlighting of specific variants or regions, and toggling between nucleotide and amino acid views.
  • Metadata Summarization and Analysis: Summarizes metadata, supports grouping of sequences, and enables comparative analysis of variant distributions.
  • Critical Mutation Identification: Incorporates a manually curated list of SARS-CoV-2 mutations with known or predicted severity/virulence from linked research articles and flags detected critical mutations.

Scientific Applications:

  • Variant Tracking: Tracking viral mutations and the emergence of new variants within selected populations, including SARS-CoV-2.
  • Virulence and Transmissibility Assessment: Assessing potential implications of specific mutations for virulence and transmissibility.
  • Comparative Evolutionary Analysis: Comparative analysis of viral evolution across multiple species such as SARS-CoV-2, SARS-CoV, MERS-CoV, Dengue, and Ebola.
  • Public Health Surveillance: Supporting surveillance and monitoring efforts to inform public health strategies based on variant distributions and critical mutation detection.

Methodology:

Integrates sequence data from ViruSurf with user-provided multi-FASTA files and CSV metadata and processes them through a bioinformatic pipeline to extract nucleotide and amino acid variants for comparative analysis.

Topics

Collections

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python, JavaScript
Added:
10/6/2021
Last Updated:
12/2/2023

Operations

Publications

Bernasconi A, Gulino A, Alfonsi T, Canakoglu A, Pinoli P, Sandionigi A, Ceri S. VirusViz: comparative analysis and effective visualization of viral nucleotide and amino acid variants. Nucleic Acids Research. 2021;49(15):e90-e90. doi:10.1093/nar/gkab478. PMID:34107016. PMCID:PMC8344854.

PMID: 34107016
PMCID: PMC8344854
Funding: - ERC: 693174 - Data-Driven Genomic Computing: 20663

Bernasconi A, Guizzardi G, Pastor O, Storey VC. Semantic interoperability: ontological unpacking of a viral conceptual model. BMC Bioinformatics. 2022;23(S11). doi:10.1186/s12859-022-05022-0. PMID:36396980. PMCID:PMC9672571.

Funding: - University of Twente: 15010001-10

Documentation