recipe bioconductor-targetsearchdata

Example GC-MS data for TargetSearch Package

Homepage:

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

License:

GPL (>= 2)

Recipe:

/bioconductor-targetsearchdata/meta.yaml

Example files of GC-MS data for the TargetSearch Package. The package contains raw NetCDF files from a E.coli salt stress experiment, extracted peak lists, and sample metadata required for a GC-MS analysis. The raw data has been restricted for demonstration purposes.

package bioconductor-targetsearchdata

(downloads) docker_bioconductor-targetsearchdata

versions:
1.40.0-01.38.0-01.35.2-01.32.0-11.32.0-01.30.0-01.28.0-11.28.0-01.27.0-0

1.40.0-01.38.0-01.35.2-01.32.0-11.32.0-01.30.0-01.28.0-11.28.0-01.27.0-01.26.0-01.24.0-01.22.0-11.22.0-01.20.0-0

depends bioconductor-data-packages:

>=20231203

depends curl:

depends r-base:

>=4.3,<4.4.0a0

requirements:

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-targetsearchdata

and update with::

   mamba update bioconductor-targetsearchdata

To create a new environment, run:

mamba create --name myenvname bioconductor-targetsearchdata

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-targetsearchdata:<tag>

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

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