recipe bioconductor-ccdata

Data for Combination Connectivity Mapping (ccmap) Package

Homepage:

https://bioconductor.org/packages/3.20/data/experiment/html/ccdata.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-ccdata/meta.yaml

This package contains microarray gene expression data generated from the Connectivity Map build 02 and LINCS l1000. The data are used by the ccmap package to find drugs and drug combinations to mimic or reverse a gene expression signature.

package bioconductor-ccdata

(downloads) docker_bioconductor-ccdata

versions:
1.32.0-0,  1.28.0-0,  1.26.0-0,  1.24.0-0,  1.23.0-0,  1.20.0-1,  1.20.0-0,  1.18.0-0,  1.16.0-1, 

1.32.0-0,  1.28.0-0,  1.26.0-0,  1.24.0-0,  1.23.0-0,  1.20.0-1,  1.20.0-0,  1.18.0-0,  1.16.0-1,  1.16.0-0,  1.14.0-0,  1.12.0-0,  1.10.0-1,  1.10.0-0,  1.8.0-0

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-ccdata

and update with::

   mamba update bioconductor-ccdata

To create a new environment, run:

mamba create --name myenvname bioconductor-ccdata

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-ccdata:<tag>

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

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Link to this page

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

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