recipe bioconductor-subcellbarcode

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

Homepage

https://bioconductor.org/packages/3.11/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

1.4.0-0,  1.2.0-0,  1.0.0-1

Depends

• bioconductor-annotationdbi >=1.50.0,<1.51.0

• bioconductor-org.hs.eg.db >=3.11.0,<3.12.0

• r-base >=4.0,<4.1.0a0

• 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 2. 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>)

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)