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BioInstaller: a comprehensive R package to construct interactive and reproducible biological data analysis applications based on the R platform
The increase in bioinformatics resources such as tools/scripts and databases poses a great challenge for users seeking to construct interactive and reproducible biological data analysis applications. Here, we propose an open-source, comprehensive, flexible R package named BioInstaller that consists...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6215441/ https://www.ncbi.nlm.nih.gov/pubmed/30402350 http://dx.doi.org/10.7717/peerj.5853 |
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author | Li, Jianfeng Cui, Bowen Dai, Yuting Bai, Ling Huang, Jinyan |
author_facet | Li, Jianfeng Cui, Bowen Dai, Yuting Bai, Ling Huang, Jinyan |
author_sort | Li, Jianfeng |
collection | PubMed |
description | The increase in bioinformatics resources such as tools/scripts and databases poses a great challenge for users seeking to construct interactive and reproducible biological data analysis applications. Here, we propose an open-source, comprehensive, flexible R package named BioInstaller that consists of the R functions, Shiny application, the HTTP representational state transfer application programming interfaces, and a docker image. BioInstaller can be used to collect, manage and share various types of bioinformatics resources and perform interactive and reproducible data analyses based on the extendible Shiny application with Tom’s Obvious, Minimal Language and SQLite format databases. The source code of BioInstaller is freely available at our lab website, http://bioinfo.rjh.com.cn/labs/jhuang/tools/bioinstaller, the popular package host GitHub, https://github.com/JhuangLab/BioInstaller, and the Comprehensive R Archive Network, https://CRAN.R-project.org/package=BioInstaller. In addition, a docker image can be downloaded from DockerHub (https://hub.docker.com/r/bioinstaller/bioinstaller). |
format | Online Article Text |
id | pubmed-6215441 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-62154412018-11-06 BioInstaller: a comprehensive R package to construct interactive and reproducible biological data analysis applications based on the R platform Li, Jianfeng Cui, Bowen Dai, Yuting Bai, Ling Huang, Jinyan PeerJ Bioinformatics The increase in bioinformatics resources such as tools/scripts and databases poses a great challenge for users seeking to construct interactive and reproducible biological data analysis applications. Here, we propose an open-source, comprehensive, flexible R package named BioInstaller that consists of the R functions, Shiny application, the HTTP representational state transfer application programming interfaces, and a docker image. BioInstaller can be used to collect, manage and share various types of bioinformatics resources and perform interactive and reproducible data analyses based on the extendible Shiny application with Tom’s Obvious, Minimal Language and SQLite format databases. The source code of BioInstaller is freely available at our lab website, http://bioinfo.rjh.com.cn/labs/jhuang/tools/bioinstaller, the popular package host GitHub, https://github.com/JhuangLab/BioInstaller, and the Comprehensive R Archive Network, https://CRAN.R-project.org/package=BioInstaller. In addition, a docker image can be downloaded from DockerHub (https://hub.docker.com/r/bioinstaller/bioinstaller). PeerJ Inc. 2018-10-31 /pmc/articles/PMC6215441/ /pubmed/30402350 http://dx.doi.org/10.7717/peerj.5853 Text en © 2018 Li et al. 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, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Li, Jianfeng Cui, Bowen Dai, Yuting Bai, Ling Huang, Jinyan BioInstaller: a comprehensive R package to construct interactive and reproducible biological data analysis applications based on the R platform |
title | BioInstaller: a comprehensive R package to construct interactive and reproducible biological data analysis applications based on the R platform |
title_full | BioInstaller: a comprehensive R package to construct interactive and reproducible biological data analysis applications based on the R platform |
title_fullStr | BioInstaller: a comprehensive R package to construct interactive and reproducible biological data analysis applications based on the R platform |
title_full_unstemmed | BioInstaller: a comprehensive R package to construct interactive and reproducible biological data analysis applications based on the R platform |
title_short | BioInstaller: a comprehensive R package to construct interactive and reproducible biological data analysis applications based on the R platform |
title_sort | bioinstaller: a comprehensive r package to construct interactive and reproducible biological data analysis applications based on the r platform |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6215441/ https://www.ncbi.nlm.nih.gov/pubmed/30402350 http://dx.doi.org/10.7717/peerj.5853 |
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