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BioinformaticsbioRxiv
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PanVA: a visual analytics tool for pangenomic variant analysis

Astrid van den BrandtiD, Folkert de Vries, Robin van Esch, Sander Vlugter, Dirk‐Jan M. van WorkumiD, Huub van de WeteringiD, Anna VilanovaiD, Sandra SmitiD

Abstract

SummaryThe growing number of sequences and increasing proof that single references create reference bias have driven the development of pangenomes to represent the genomic diversity of species. To leverage this complex diversity information for biological insights, analysis and visualization support are needed to explore the variants in the context of metadata and phylogenies. We developed PanVA, an interactive visual analytics tool for exploring sequence variants in groups of homologous sequences in their biological context. PanVA is a web application that allows users to explore existing instances or create new ones to visualize their own data. Availability and ImplementationThe PanVA source code is available on GitHub at https://github.com/PanBrowse/PanVA under the GPLv3 License. Documentation and and public demo instances showcasing examples can be accessed at https://panbrowse.github.io/PanVA/.

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02 /Specification & Classification

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