- 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:
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
- 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:
[](http://bioconda.github.io/recipes/bioconductor-subcellbarcode/README.html)