Literature DB >> 34107016

VirusViz: comparative analysis and effective visualization of viral nucleotide and amino acid variants.

Anna Bernasconi1, Andrea Gulino1, Tommaso Alfonsi1, Arif Canakoglu1, Pietro Pinoli1, Anna Sandionigi2, Stefano Ceri1.   

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/.
© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.

Entities:  

Year:  2021        PMID: 34107016     DOI: 10.1093/nar/gkab478

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  4 in total

1.  CoV2K model, a comprehensive representation of SARS-CoV-2 knowledge and data interplay.

Authors:  Tommaso Alfonsi; Ruba Al Khalaf; Stefano Ceri; Anna Bernasconi
Journal:  Sci Data       Date:  2022-06-01       Impact factor: 8.501

2.  High Performance Integration Pipeline for Viral and Epitope Sequences.

Authors:  Tommaso Alfonsi; Pietro Pinoli; Arif Canakoglu
Journal:  BioTech (Basel)       Date:  2022-03-21

3.  Data-driven analysis of amino acid change dynamics timely reveals SARS-CoV-2 variant emergence.

Authors:  Anna Bernasconi; Lorenzo Mari; Renato Casagrandi; Stefano Ceri
Journal:  Sci Rep       Date:  2021-10-26       Impact factor: 4.379

4.  VirusLab: A Tool for Customized SARS-CoV-2 Data Analysis.

Authors:  Pietro Pinoli; Anna Bernasconi; Anna Sandionigi; Stefano Ceri
Journal:  BioTech (Basel)       Date:  2021-11-06
  4 in total

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