recipe bioconductor-dapar

Tools for the Differential Analysis of Proteins Abundance with R

Homepage

https://bioconductor.org/packages/3.10/bioc/html/DAPAR.html

License

Artistic-2.0

Recipe

/bioconductor-dapar/meta.yaml

This package contains a collection of functions for the visualisation and the statistical analysis of proteomic data.

package bioconductor-dapar

Versions

1.18.1-0, 1.16.7-0, 1.14.4-0

Depends

• bioconductor-annotationdbi >=1.48.0,<1.49.0

• bioconductor-clusterprofiler >=3.14.0,<3.15.0

• bioconductor-dapardata >=1.16.0,<1.17.0

• bioconductor-graph >=1.64.0,<1.65.0

• bioconductor-impute >=1.60.0,<1.61.0

• bioconductor-limma >=3.42.0,<3.43.0

• bioconductor-msnbase >=2.12.0,<2.13.0

• bioconductor-pcamethods >=1.78.0,<1.79.0

• bioconductor-preprocesscore >=1.48.0,<1.49.0

• bioconductor-siggenes >=1.60.0,<1.61.0

• bioconductor-vsn >=3.54.0,<3.55.0

• r-base >=3.6,<3.7.0a0

• r-cairo

• r-cp4p >=0.3.5

• r-doparallel

• r-dplyr

• r-factoextra

• r-factominer

• r-foreach

• r-ggplot2

• r-gplots

• r-highcharter >=0.5.0

• r-igraph

• r-imp4p >=0.8

• r-knitr

• r-lattice

• r-lme4

• r-matrix

• r-norm

• r-openxlsx

• r-png

• r-rcolorbrewer

• r-readxl

• r-reshape2

• r-scales

• r-stringr

• r-tidyr

• r-tidyverse

• r-tmvtnorm

• r-vioplot

• r-visnetwork

Required By

• bioconductor-prostar

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-dapar

and update with:

conda update bioconductor-dapar

or use the docker container:

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

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

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-dapar/README.html)