- recipe bioconductor-bandle
An R package for the Bayesian analysis of differential subcellular localisation experiments
- Homepage:
https://bioconductor.org/packages/3.20/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:
1.6.0-0,1.4.1-0,1.2.0-1,1.2.0-0- depends bioconductor-biobase:
>=2.62.0,<2.63.0- depends bioconductor-biobase:
>=2.62.0,<2.63.0a0- depends bioconductor-biocparallel:
>=1.36.0,<1.37.0- depends bioconductor-biocparallel:
>=1.36.0,<1.37.0a0- depends bioconductor-biocstyle:
>=2.30.0,<2.31.0- depends bioconductor-biocstyle:
>=2.30.0,<2.31.0a0- depends bioconductor-msnbase:
>=2.28.0,<2.29.0- depends bioconductor-msnbase:
>=2.28.1,<2.29.0a0- depends bioconductor-proloc:
>=1.42.0,<1.43.0- depends bioconductor-proloc:
>=1.42.0,<1.43.0a0- depends bioconductor-prolocdata:
>=1.40.0,<1.41.0- depends bioconductor-prolocdata:
>=1.40.0,<1.41.0a0- depends bioconductor-s4vectors:
>=0.40.0,<0.41.0- depends bioconductor-s4vectors:
>=0.40.2,<0.41.0a0- depends libblas:
>=3.9.0,<4.0a0- depends libgcc-ng:
>=12- depends liblapack:
>=3.9.0,<4.0a0- depends libstdcxx-ng:
>=12- depends r-base:
>=4.3,<4.4.0a0- depends r-bh:
- depends r-circlize:
- depends r-dplyr:
- depends r-ggalluvial:
- depends r-ggplot2:
- depends r-ggrepel:
- depends r-knitr:
- depends r-lbfgs:
- depends r-plyr:
- depends r-rcpp:
>=1.0.4.6- depends r-rcpparmadillo:
- depends r-rlang:
- depends r-robustbase:
- depends r-tidyr:
- requirements:
- additional platforms:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-bandle and update with:: mamba update bioconductor-bandle
To create a new environment, run:
mamba create --name myenvname bioconductor-bandle
with
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, 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)
