recipe bioconductor-proloc

A unifying bioinformatics framework for spatial proteomics

Homepage

https://bioconductor.org/packages/3.14/bioc/html/pRoloc.html

License

GPL-2

Recipe

/bioconductor-proloc/meta.yaml

Links

biotools: 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.

package bioconductor-proloc

Versions

1.34.0-1,  1.34.0-0,  1.32.0-0,  1.30.0-1,  1.30.0-0,  1.28.0-0,  1.26.0-0,  1.24.0-1,  1.22.1-0, 

1.34.0-1,  1.34.0-0,  1.32.0-0,  1.30.0-1,  1.30.0-0,  1.28.0-0,  1.26.0-0,  1.24.0-1,  1.22.1-0,  1.22.0-0,  1.18.0-0

Depends

• bioconductor-biobase >=2.54.0,<2.55.0

• bioconductor-biocgenerics >=0.40.0,<0.41.0

• bioconductor-biocparallel >=1.28.0,<1.29.0

• bioconductor-biomart >=2.50.0,<2.51.0

• bioconductor-mlinterfaces >=1.74.0,<1.75.0

• bioconductor-msnbase >=2.20.0,<2.21.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=10.3.0

• liblapack >=3.8.0,<4.0a0

• libstdcxx-ng >=10.3.0

• r-base >=4.1,<4.2.0a0

• 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>)

Download stats

Link to this page

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