- recipe bioconductor-bandle
An R package for the Bayesian analysis of differential subcellular localisation experiments
- Homepage:
https://bioconductor.org/packages/3.16/bioc/html/bandle.html
- License:
Artistic-2.0
- Recipe:
The Bandle package enables the analysis and visualisation of differential localisation experiments using mass-spectrometry data. Experimental methods supported include dynamic LOPIT-DC, hyperLOPIT, Dynamic Organellar Maps, Dynamic PCP. It provides Bioconductor infrastructure to analyse these data.
- package bioconductor-bandle¶
-
- Versions:
1.2.0-0
- Depends:
bioconductor-biobase
>=2.58.0,<2.59.0
bioconductor-biocparallel
>=1.32.0,<1.33.0
bioconductor-biocstyle
>=2.26.0,<2.27.0
bioconductor-msnbase
>=2.24.0,<2.25.0
bioconductor-proloc
>=1.38.0,<1.39.0
bioconductor-prolocdata
>=1.36.0,<1.37.0
bioconductor-s4vectors
>=0.36.0,<0.37.0
libblas
>=3.9.0,<4.0a0
libgcc-ng
>=12
liblapack
>=3.9.0,<4.0a0
libstdcxx-ng
>=12
r-base
>=4.2,<4.3.0a0
r-rcpp
>=1.0.4.6
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-bandle
and update with:
conda update bioconductor-bandle
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-bandle:<tag>
(see bioconductor-bandle/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-bandle/README.html)