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Shiny-phyloseq: Web application for interactive microbiome analysis with provenance tracking
Summary: We have created a Shiny-based Web application, called Shiny-phyloseq, for dynamic interaction with microbiome data that runs on any modern Web browser and requires no programming, increasing the accessibility and decreasing the entrance requirement to using phyloseq and related R tools. Alo...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4287943/ https://www.ncbi.nlm.nih.gov/pubmed/25262154 http://dx.doi.org/10.1093/bioinformatics/btu616 |
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author | McMurdie, Paul J. Holmes, Susan |
author_facet | McMurdie, Paul J. Holmes, Susan |
author_sort | McMurdie, Paul J. |
collection | PubMed |
description | Summary: We have created a Shiny-based Web application, called Shiny-phyloseq, for dynamic interaction with microbiome data that runs on any modern Web browser and requires no programming, increasing the accessibility and decreasing the entrance requirement to using phyloseq and related R tools. Along with a data- and context-aware dynamic interface for exploring the effects of parameter and method choices, Shiny-phyloseq also records the complete user input and subsequent graphical results of a user’s session, allowing the user to archive, share and reproduce the sequence of steps that created their result—without writing any new code themselves. Availability and implementation: Shiny-phyloseq is implemented entirely in the R language. It can be hosted/launched by any system with R installed, including Windows, Mac OS and most Linux distributions. Information technology administrators can also host Shiny-phyloseq from a remote server, in which case users need only have a Web browser installed. Shiny-phyloseq is provided free of charge under a GPL-3 open-source license through GitHub at http://joey711.github.io/shiny-phyloseq/. Contact: mcmurdie@alumni.stanford.edu. |
format | Online Article Text |
id | pubmed-4287943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-42879432015-01-30 Shiny-phyloseq: Web application for interactive microbiome analysis with provenance tracking McMurdie, Paul J. Holmes, Susan Bioinformatics Applications Notes Summary: We have created a Shiny-based Web application, called Shiny-phyloseq, for dynamic interaction with microbiome data that runs on any modern Web browser and requires no programming, increasing the accessibility and decreasing the entrance requirement to using phyloseq and related R tools. Along with a data- and context-aware dynamic interface for exploring the effects of parameter and method choices, Shiny-phyloseq also records the complete user input and subsequent graphical results of a user’s session, allowing the user to archive, share and reproduce the sequence of steps that created their result—without writing any new code themselves. Availability and implementation: Shiny-phyloseq is implemented entirely in the R language. It can be hosted/launched by any system with R installed, including Windows, Mac OS and most Linux distributions. Information technology administrators can also host Shiny-phyloseq from a remote server, in which case users need only have a Web browser installed. Shiny-phyloseq is provided free of charge under a GPL-3 open-source license through GitHub at http://joey711.github.io/shiny-phyloseq/. Contact: mcmurdie@alumni.stanford.edu. Oxford University Press 2015-01-15 2014-09-26 /pmc/articles/PMC4287943/ /pubmed/25262154 http://dx.doi.org/10.1093/bioinformatics/btu616 Text en © The Author 2014. Published by Oxford University Press. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Applications Notes McMurdie, Paul J. Holmes, Susan Shiny-phyloseq: Web application for interactive microbiome analysis with provenance tracking |
title | Shiny-phyloseq: Web application for interactive microbiome analysis with provenance tracking |
title_full | Shiny-phyloseq: Web application for interactive microbiome analysis with provenance tracking |
title_fullStr | Shiny-phyloseq: Web application for interactive microbiome analysis with provenance tracking |
title_full_unstemmed | Shiny-phyloseq: Web application for interactive microbiome analysis with provenance tracking |
title_short | Shiny-phyloseq: Web application for interactive microbiome analysis with provenance tracking |
title_sort | shiny-phyloseq: web application for interactive microbiome analysis with provenance tracking |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4287943/ https://www.ncbi.nlm.nih.gov/pubmed/25262154 http://dx.doi.org/10.1093/bioinformatics/btu616 |
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