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GraphSNP: an interactive distance viewer for investigating outbreaks and transmission networks using a graph approach

BACKGROUND: Cluster and transmission analysis utilising pairwise SNP distance are increasingly used in genomic epidemiological studies. However, current methods are often challenging to install and use, and lack interactive functionalities for easy data exploration. RESULTS: GraphSNP is an interacti...

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Detalles Bibliográficos
Autores principales: Permana, Budi, Beatson, Scott A., Forde, Brian M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199467/
https://www.ncbi.nlm.nih.gov/pubmed/37208588
http://dx.doi.org/10.1186/s12859-023-05332-x
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author Permana, Budi
Beatson, Scott A.
Forde, Brian M.
author_facet Permana, Budi
Beatson, Scott A.
Forde, Brian M.
author_sort Permana, Budi
collection PubMed
description BACKGROUND: Cluster and transmission analysis utilising pairwise SNP distance are increasingly used in genomic epidemiological studies. However, current methods are often challenging to install and use, and lack interactive functionalities for easy data exploration. RESULTS: GraphSNP is an interactive visualisation tool running in a web browser that allows users to rapidly generate pairwise SNP distance networks, investigate SNP distance distributions, identify clusters of related organisms, and reconstruct transmission routes. The functionality of GraphSNP is demonstrated using examples from recent multi-drug resistant bacterial outbreaks in healthcare settings. CONCLUSIONS: GraphSNP is freely available at https://github.com/nalarbp/graphsnp. An online version of GraphSNP, including demonstration datasets, input templates, and quick start guide is available for use at https://graphsnp.fordelab.com. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-023-05332-x.
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spelling pubmed-101994672023-05-21 GraphSNP: an interactive distance viewer for investigating outbreaks and transmission networks using a graph approach Permana, Budi Beatson, Scott A. Forde, Brian M. BMC Bioinformatics Software BACKGROUND: Cluster and transmission analysis utilising pairwise SNP distance are increasingly used in genomic epidemiological studies. However, current methods are often challenging to install and use, and lack interactive functionalities for easy data exploration. RESULTS: GraphSNP is an interactive visualisation tool running in a web browser that allows users to rapidly generate pairwise SNP distance networks, investigate SNP distance distributions, identify clusters of related organisms, and reconstruct transmission routes. The functionality of GraphSNP is demonstrated using examples from recent multi-drug resistant bacterial outbreaks in healthcare settings. CONCLUSIONS: GraphSNP is freely available at https://github.com/nalarbp/graphsnp. An online version of GraphSNP, including demonstration datasets, input templates, and quick start guide is available for use at https://graphsnp.fordelab.com. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-023-05332-x. BioMed Central 2023-05-19 /pmc/articles/PMC10199467/ /pubmed/37208588 http://dx.doi.org/10.1186/s12859-023-05332-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Permana, Budi
Beatson, Scott A.
Forde, Brian M.
GraphSNP: an interactive distance viewer for investigating outbreaks and transmission networks using a graph approach
title GraphSNP: an interactive distance viewer for investigating outbreaks and transmission networks using a graph approach
title_full GraphSNP: an interactive distance viewer for investigating outbreaks and transmission networks using a graph approach
title_fullStr GraphSNP: an interactive distance viewer for investigating outbreaks and transmission networks using a graph approach
title_full_unstemmed GraphSNP: an interactive distance viewer for investigating outbreaks and transmission networks using a graph approach
title_short GraphSNP: an interactive distance viewer for investigating outbreaks and transmission networks using a graph approach
title_sort graphsnp: an interactive distance viewer for investigating outbreaks and transmission networks using a graph approach
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10199467/
https://www.ncbi.nlm.nih.gov/pubmed/37208588
http://dx.doi.org/10.1186/s12859-023-05332-x
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