recipe bioconductor-bandle

An R package for the Bayesian analysis of differential subcellular localisation experiments






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

(downloads) docker_bioconductor-bandle



depends bioconductor-biobase:


depends bioconductor-biobase:


depends bioconductor-biocparallel:


depends bioconductor-biocparallel:


depends bioconductor-biocstyle:


depends bioconductor-biocstyle:


depends bioconductor-msnbase:


depends bioconductor-msnbase:


depends bioconductor-proloc:


depends bioconductor-proloc:


depends bioconductor-prolocdata:


depends bioconductor-prolocdata:


depends bioconductor-s4vectors:


depends bioconductor-s4vectors:


depends libblas:


depends libgcc-ng:


depends liblapack:


depends libstdcxx-ng:


depends r-base:


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:


depends r-rcpparmadillo:

depends r-rlang:

depends r-robustbase:

depends r-tidyr:



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 myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull<tag>

(see `bioconductor-bandle/tags`_ for valid values for ``<tag>``)

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