- 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
- 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-mclust
>=4.3
r-rcpp
>=0.10.3
- Required By
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¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-proloc/README.html)