PHYLOViZ Online: web-based tool for visualization, phylogenetic inference, analysis and sharing of minimum spanning trees

High-throughput sequencing methods generated allele and single nucleotide polymorphism information for thousands of bacterial strains that are publicly available in online repositories and created the possibility of generating similar information for hundreds to thousands of strains more in a single...

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Bibliographic Details
Published in:Nucleic acids research 2016-07, Vol.44 (W1), p.W246-W251
Main Authors: Ribeiro-Gonçalves, Bruno, Francisco, Alexandre P, Vaz, Cátia, Ramirez, Mário, Carriço, João André
Format: Article
Language:English
Subjects:
Algorithms
Alleles
Computer Graphics
Databases, Genetic
Datasets as Topic
High-Throughput Nucleotide Sequencing
Information Dissemination
Information Storage and Retrieval
Internet
Phylogeny
Polymorphism, Single Nucleotide
Serogroup
Streptococcus pneumoniae - classification
Streptococcus pneumoniae - genetics
User-Computer Interface
Web Server issue
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Description
Summary:High-throughput sequencing methods generated allele and single nucleotide polymorphism information for thousands of bacterial strains that are publicly available in online repositories and created the possibility of generating similar information for hundreds to thousands of strains more in a single study. Minimum spanning tree analysis of allelic data offers a scalable and reproducible methodological alternative to traditional phylogenetic inference approaches, useful in epidemiological investigations and population studies of bacterial pathogens. PHYLOViZ Online was developed to allow users to do these analyses without software installation and to enable easy accessing and sharing of data and analyses results from any Internet enabled computer. PHYLOViZ Online also offers a RESTful API for programmatic access to data and algorithms, allowing it to be seamlessly integrated into any third party web service or software. PHYLOViZ Online is freely available at https://online.phyloviz.net.
ISSN:0305-1048
1362-4962
DOI:10.1093/nar/gkw359