recipe bioconductor-spatialdmelxsim

Spatial allelic expression counts for fly cross embryo

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-spatialdmelxsim/meta.yaml

Spatial allelic expression counts from Combs & Fraser (2018), compiled into a SummarizedExperiment object. This package contains data of allelic expression counts of spatial slices of a fly embryo, a Drosophila melanogaster x Drosophila simulans cross. See the CITATION file for the data source, and the associated script for how the object was constructed from publicly available data.

package bioconductor-spatialdmelxsim

(downloads) docker_bioconductor-spatialdmelxsim

versions:

1.8.0-01.6.1-01.4.0-01.0.0-11.0.0-0

depends bioconductor-data-packages:

>=20231203

depends bioconductor-experimenthub:

>=2.10.0,<2.11.0

depends bioconductor-summarizedexperiment:

>=1.32.0,<1.33.0

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-spatialdmelxsim

and update with::

   mamba update bioconductor-spatialdmelxsim

To create a new environment, run:

mamba create --name myenvname bioconductor-spatialdmelxsim

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-spatialdmelxsim:<tag>

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

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