recipe bioconductor-targetscan.mm.eg.db

TargetScan miRNA target predictions for mouse

Homepage:

https://bioconductor.org/packages/3.20/data/annotation/html/targetscan.Mm.eg.db.html

License:

file LICENSE

Recipe:

/bioconductor-targetscan.mm.eg.db/meta.yaml

TargetScan miRNA target predictions for mouse assembled using data from the TargetScan website. TargetScan predicts biological targets of miRNAs by searching for the presence of conserved 8mer and 7mer sites that match the seed region of each miRNA. Also identified are sites with mismatches in the seed region that are compensated by conserved 3' pairing. In mammals, predictions are ranked based on the predicted efficacy of targeting as calculated using the context scores of the sites.

package bioconductor-targetscan.mm.eg.db

(downloads) docker_bioconductor-targetscan.mm.eg.db

versions:
0.6.1-13,  0.6.1-12,  0.6.1-11,  0.6.1-10,  0.6.1-9,  0.6.1-8,  0.6.1-7,  0.6.1-6,  0.6.1-5, 

0.6.1-13,  0.6.1-12,  0.6.1-11,  0.6.1-10,  0.6.1-9,  0.6.1-8,  0.6.1-7,  0.6.1-6,  0.6.1-5,  0.6.1-4,  0.6.1-3,  0.6.1-2,  0.6.1-0

depends bioconductor-annotationdbi:

>=1.68.0,<1.69.0

depends bioconductor-data-packages:

>=20241103

depends curl:

depends r-base:

>=4.4,<4.5.0a0

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-targetscan.mm.eg.db

and update with::

   mamba update bioconductor-targetscan.mm.eg.db

To create a new environment, run:

mamba create --name myenvname bioconductor-targetscan.mm.eg.db

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-targetscan.mm.eg.db:<tag>

(see `bioconductor-targetscan.mm.eg.db/tags`_ for valid values for ``<tag>``)

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Render an install-with-bioconda badge with the following MarkDown:

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