Package Recipe 'bioconductor-prostar'

recipe bioconductor-prostar

Provides a GUI for DAPAR

Homepage:: https://bioconductor.org/packages/3.20/bioc/html/Prostar.html
License:: Artistic-2.0
Recipe:: /bioconductor-prostar/meta.yaml

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.

package bioconductor-prostar¶

Versions:

1.42.0-0, 1.38.0-0, 1.34.3-0, 1.32.1-0, 1.30.0-0, 1.26.0-0, 1.24.3-0, 1.22.8-0, 1.22.0-0,

1.42.0-0, 1.38.0-0, 1.34.3-0, 1.32.1-0, 1.30.0-0, 1.26.0-0, 1.24.3-0, 1.22.8-0, 1.22.0-0, 1.20.0-0, 1.18.0-1, 1.16.7-0, 1.14.8-0

Depends:

on bioconductor-biobase >=2.70.0,<2.71.0
on bioconductor-dapar >=1.42.0,<1.43.0
on bioconductor-dapardata >=1.40.0,<1.41.0
on r-base >=4.5,<4.6.0a0
on r-colourpicker
on r-data.table
on r-dt
on r-future
on r-ggplot2
on r-gplots
on r-gtools
on r-highcharter
on r-htmlwidgets
on r-later
on r-markdown
on r-promises
on r-r.utils
on r-rclipboard
on r-rcolorbrewer
on r-rhandsontable
on r-sass
on r-shiny
on r-shinyace
on r-shinybs
on r-shinycssloaders
on r-shinyjqui
on r-shinyjs
on r-shinythemes
on r-shinytree
on r-shinywidgets
on r-tibble
on r-vioplot
on r-webshot
on r-xml

Additional platforms:

Installation¶

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi¶

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install bioconductor-prostar

to add into an existing workspace instead, run:

pixi add bioconductor-prostar

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda¶

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install bioconductor-prostar

Alternatively, to install into a new environment, run:

conda create -n envname bioconductor-prostar

with envname being the name of the desired environment.

Container¶

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

docker pull quay.io/biocontainers/bioconductor-prostar:<tag>

(see bioconductor-prostar/tags for valid values for <tag>).

Integrated deployment¶

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

Download stats¶

Link to this page¶

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-prostar/README.html)