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StructuRly: A novel shiny app to produce comprehensive, detailed and interactive plots for population genetic analysis

Population genetics focuses on the analysis of genetic differences within and between-group of individuals and the inference of the populations’ structure. These analyses are usually carried out using Bayesian clustering or maximum likelihood estimation algorithms that assign individuals to a given...

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Detalles Bibliográficos
Autores principales: Criscuolo, Nicola G., Angelini, Claudia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029954/
https://www.ncbi.nlm.nih.gov/pubmed/32074134
http://dx.doi.org/10.1371/journal.pone.0229330
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author Criscuolo, Nicola G.
Angelini, Claudia
author_facet Criscuolo, Nicola G.
Angelini, Claudia
author_sort Criscuolo, Nicola G.
collection PubMed
description Population genetics focuses on the analysis of genetic differences within and between-group of individuals and the inference of the populations’ structure. These analyses are usually carried out using Bayesian clustering or maximum likelihood estimation algorithms that assign individuals to a given population depending on specific genetic patterns. Although several tools were developed to perform population genetics analysis, their standard graphical outputs may not be sufficiently informative for users lacking interactivity and complete information. StructuRly aims to resolve this problem by offering a complete environment for population analysis. In particular, StructuRly combines the statistical power of the R language with the friendly interfaces implemented using the shiny libraries to provide a novel tool for performing population clustering, evaluating several genetic indexes, and comparing results. Moreover, graphical representations are interactive and can be easily personalized. StructuRly is available either as R package on GitHub, with detailed information for its installation and use and as shinyapps.io servers for those users who are not familiar with R and the RStudio IDE. The application has been tested on Linux, macOS and Windows operative systems and can be launched as a shiny app in every web browser.
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spelling pubmed-70299542020-02-26 StructuRly: A novel shiny app to produce comprehensive, detailed and interactive plots for population genetic analysis Criscuolo, Nicola G. Angelini, Claudia PLoS One Research Article Population genetics focuses on the analysis of genetic differences within and between-group of individuals and the inference of the populations’ structure. These analyses are usually carried out using Bayesian clustering or maximum likelihood estimation algorithms that assign individuals to a given population depending on specific genetic patterns. Although several tools were developed to perform population genetics analysis, their standard graphical outputs may not be sufficiently informative for users lacking interactivity and complete information. StructuRly aims to resolve this problem by offering a complete environment for population analysis. In particular, StructuRly combines the statistical power of the R language with the friendly interfaces implemented using the shiny libraries to provide a novel tool for performing population clustering, evaluating several genetic indexes, and comparing results. Moreover, graphical representations are interactive and can be easily personalized. StructuRly is available either as R package on GitHub, with detailed information for its installation and use and as shinyapps.io servers for those users who are not familiar with R and the RStudio IDE. The application has been tested on Linux, macOS and Windows operative systems and can be launched as a shiny app in every web browser. Public Library of Science 2020-02-19 /pmc/articles/PMC7029954/ /pubmed/32074134 http://dx.doi.org/10.1371/journal.pone.0229330 Text en © 2020 Criscuolo, Angelini http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Criscuolo, Nicola G.
Angelini, Claudia
StructuRly: A novel shiny app to produce comprehensive, detailed and interactive plots for population genetic analysis
title StructuRly: A novel shiny app to produce comprehensive, detailed and interactive plots for population genetic analysis
title_full StructuRly: A novel shiny app to produce comprehensive, detailed and interactive plots for population genetic analysis
title_fullStr StructuRly: A novel shiny app to produce comprehensive, detailed and interactive plots for population genetic analysis
title_full_unstemmed StructuRly: A novel shiny app to produce comprehensive, detailed and interactive plots for population genetic analysis
title_short StructuRly: A novel shiny app to produce comprehensive, detailed and interactive plots for population genetic analysis
title_sort structurly: a novel shiny app to produce comprehensive, detailed and interactive plots for population genetic analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029954/
https://www.ncbi.nlm.nih.gov/pubmed/32074134
http://dx.doi.org/10.1371/journal.pone.0229330
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