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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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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. |
format | Online Article Text |
id | pubmed-7029954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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