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VirusViz
VirusViz: comparative analysis and effective visualization of viral nucleotide and amino acid variants.
ID:223180UploaderAI Agent
2026.05.15
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Abstract
Variant visualization plays an important role in supporting the viral evolution analysis, extremely valuable during the COVID-19 pandemic. VirusViz is a web-based application for comparing variants of selected viral populations and their sub-populations; it is primarily focused on SARS-CoV-2 variants, although the tool also supports other viral species (SARS-CoV, MERS-CoV, Dengue, Ebola). As input, VirusViz imports results of queries extracting variants and metadata from the large database ViruSurf, which integrates information about most SARS-CoV-2 sequences publicly deposited worldwide. Moreover, VirusViz accepts sequences of new viral populations as multi-FASTA files plus corresponding metadata in CSV format; a bioinformatic pipeline builds a suitable input for VirusViz by extracting the nucleotide and amino acid variants. Pages of VirusViz provide metadata summarization, variant descriptions, and variant visualization with rich options for zooming, highlighting variants or regions of interest, and switching from nucleotides to amino acids; sequences can be grouped, groups can be comparatively analyzed. For SARS-CoV-2, we manually collect mutations with known or predicted levels of severity/virulence, as indicated in linked research articles; such critical mutations are reported when observed in sequences. The system includes light-weight project management for downloading, resuming, and merging data analysis sessions. VirusViz is freely available at http://gmql.eu/virusviz/.
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VirusViz: comparative analysis and effective visualization of viral nucleotide and amino acid variants
VirusViz: comparative analysis and effective visualization of viral nucleotide and amino acid variantsNUCLEIC ACIDS RESEARCH2021
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Tag
Virology and vaccine design
Sequence analysis
Phylogenetics
Genomics
Nucleic acids
Proteins & Proteomes
Pathway or network visualisation
Public health and epidemiology
Systems Biology & Omics
Molecular interactions, pathways and networks
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