recipe bioconductor-prolocdata

Data accompanying the pRoloc package

Homepage:

https://bioconductor.org/packages/3.18/data/experiment/html/pRolocdata.html

License:

GPL-2

Recipe:

/bioconductor-prolocdata/meta.yaml

Mass-spectrometry based spatial proteomics data sets and protein complex separation data. Also contains the time course expression experiment from Mulvey et al. 2015.

package bioconductor-prolocdata

(downloads) docker_bioconductor-prolocdata

versions:
1.40.0-01.38.0-01.36.0-01.32.0-11.32.0-01.30.0-01.28.0-11.28.0-01.26.0-0

1.40.0-01.38.0-01.36.0-01.32.0-11.32.0-01.30.0-01.28.0-11.28.0-01.26.0-01.24.0-01.22.0-11.20.0-0

depends bioconductor-biobase:

>=2.62.0,<2.63.0

depends bioconductor-data-packages:

>=20231203

depends bioconductor-msnbase:

>=2.28.0,<2.29.0

depends curl:

depends r-base:

>=4.3,<4.4.0a0

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-prolocdata

and update with::

   mamba update bioconductor-prolocdata

To create a new environment, run:

mamba create --name myenvname bioconductor-prolocdata

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 quay.io/biocontainers/bioconductor-prolocdata:<tag>

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

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