recipe bioconductor-proloc

The pRoloc package implements machine learning and visualisation methods for the analysis and interogation of quantitiative mass spectrometry data to reliably infer protein sub-cellular localisation.

Homepage

https://bioconductor.org/packages/3.9/bioc/html/pRoloc.html

License

GPL-2

Recipe

/bioconductor-proloc/meta.yaml

Links

biotools: proloc

package bioconductor-proloc

Versions

1.22.1-0, 1.22.0-0, 1.18.0-0

Depends

• bioconductor-biobase >=2.42.0,<2.43.0

• bioconductor-biocgenerics >=0.28.0,<0.29.0

• bioconductor-biocparallel >=1.16.0,<1.17.0

• bioconductor-biomart >=2.38.0,<2.39.0

• bioconductor-mlinterfaces >=1.62.0,<1.63.0

• bioconductor-msnbase >=2.8.0,<2.9.0

• libgcc-ng >=7.3.0

• libstdcxx-ng >=7.3.0

• r-base >=3.5.1,<3.5.2.0a0

• r-caret

• r-class

• r-coda

• r-dendextend

• r-e1071

• r-fnn

• r-ggplot2

• r-gtools

• r-hexbin

• r-kernlab

• r-knitr

• r-laplacesdemon

• r-lattice

• r-mass

• r-mclust >=4.3

• r-mixtools

• r-mvtnorm

• r-nnet

• r-plyr

• r-proxy

• r-randomforest

• r-rcolorbrewer

• r-rcpp >=0.10.3

• r-rcpparmadillo

• r-sampling

• r-scales

Required By

• bioconductor-prolocgui

Installation

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

conda install bioconductor-proloc

and update with:

conda update bioconductor-proloc

or use the docker container:

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

(see bioconductor-proloc/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-proloc/README.html)