Prostar
Provides a GUI for DAPAR
Bioconductor version: 3.23 · Package version: 1.44.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
This package provides a GUI interface for the DAPAR package. The package Prostar (Proteomics statistical analysis with R) is a Bioconductor distributed R package which provides all the necessary functions to analyze quantitative data from label-free proteomics experiments. Contrarily to most other similar R packages, it is endowed with rich and user-friendly graphical interfaces, so that no programming skill is required.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("Prostar")Details
| Maintainer | Samuel Wieczorek <samuel.wieczorek@cea.fr> |
| Author | Thomas Burger [aut], Florence Combes [aut], Samuel Wieczorek [cre, aut], Manon Gaudin [ctb] |
| License | Artistic-2.0 |
| URL | http://www.prostar-proteomics.org/ |
| Bug Reports | https://github.com/edyp-lab/Prostar/issues |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | GUI, MassSpectrometry, Normalization, Preprocessing, Proteomics, Software |
| Package Short Url | https://bioconductor.org/packages/Prostar/ |
Citation
From within R, enter citation("Prostar"):
Thomas Burger, Florence Combes, Samuel Wieczorek. Prostar: Provides a GUI for DAPAR. doi:10.18129/B9.bioc.Prostar, R package version 1.44.0, https://bioconductor.org/packages/Prostar.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | Prostar_1.44.0.tar.gz |
| Windows binary (x86_64) | Prostar_1.44.0.zip |
| macOS binary (arm64) | Prostar_1.44.0.tgz |
| macOS binary (x86_64) | Prostar_1.44.0.tgz |
Dependencies
Depends: R (>= 4.5.0)
Imports: DAPAR (>= 1.35.1), DAPARdata (>= 1.30.0), rhandsontable, data.table, shiny, shinyBS, shinyAce, plotly, htmlwidgets, webshot, shinythemes, later, shinycssloaders, future, promises, shinyjqui, tibble, ggplot2, gplots, shinyjs, vioplot, Biobase, DT, R.utils, RColorBrewer, XML, colourpicker, gtools, markdown, rclipboard, sass, shinyTree, shinyWidgets
Suggests: BiocStyle, BiocManager, testthat, knitr