Package Recipe 'bioconductor-subcellbarcode'

recipe bioconductor-subcellbarcode

SubCellBarCode: Integrated workflow for robust mapping and visualizing whole human spatial proteome

Homepage:: https://bioconductor.org/packages/3.14/bioc/html/SubCellBarCode.html
License:: GPL-2
Recipe:: /bioconductor-subcellbarcode/meta.yaml

Mass-Spectrometry based spatial proteomics have enabled the proteome-wide mapping of protein subcellular localization (Orre et al. 2019, Molecular Cell). SubCellBarCode R package robustly classifies proteins into corresponding subcellular localization.

package bioconductor-subcellbarcode¶

Versions:

1.10.0-0, 1.8.0-0, 1.6.0-1, 1.6.0-0, 1.4.0-0, 1.2.0-0, 1.0.0-1

Depends:

bioconductor-annotationdbi >=1.56.0,<1.57.0
bioconductor-org.hs.eg.db >=3.14.0,<3.15.0
r-base >=4.1,<4.2.0a0
r-caret
r-e1071
r-ggplot2
r-ggrepel
r-gridextra
r-networkd3
r-rtsne
r-scatterplot3d

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-subcellbarcode

and update with:

conda update bioconductor-subcellbarcode

or use the docker container:

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

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

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-subcellbarcode/README.html)