recipe bioconductor-ccmap

Combination Connectivity Mapping

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/ccmap.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-ccmap/meta.yaml

Finds drugs and drug combinations that are predicted to reverse or mimic gene expression signatures. These drugs might reverse diseases or mimic healthy lifestyles.

package bioconductor-ccmap

versions:

1.28.0-0,  1.26.0-0,  1.24.0-0,  1.20.0-0,  1.18.0-0,  1.16.0-1,  1.16.0-0,  1.14.0-0,  1.12.0-1, 

1.28.0-0,  1.26.0-0,  1.24.0-0,  1.20.0-0,  1.18.0-0,  1.16.0-1,  1.16.0-0,  1.14.0-0,  1.12.0-1,  1.10.0-1,  1.8.0-0

depends bioconductor-annotationdbi:

>=1.64.0,<1.65.0

depends bioconductor-ccdata:

>=1.28.0,<1.29.0

depends r-base:

>=4.3,<4.4.0a0

depends r-biocmanager:

>=1.30.4

depends r-data.table:

>=1.10.4

depends r-doparallel:

>=1.0.10

depends r-foreach:

>=1.4.3

depends r-lsa:

>=0.73.1

depends r-xgboost:

>=0.6.4

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-ccmap

and update with::

   mamba update bioconductor-ccmap

To create a new environment, run:

mamba create --name myenvname bioconductor-ccmap

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-ccmap:<tag>

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

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Link to this page

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