recipe bioconductor-connectivitymap

Functional connections between drugs, genes and diseases as revealed by common gene-expression changes

Homepage:

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

License:

GPL-3

Recipe:

/bioconductor-connectivitymap/meta.yaml

The Broad Institute's Connectivity Map (cmap02) is a "large reference catalogue of gene-expression data from cultured human cells perturbed with many chemicals and genetic reagents", containing more than 7000 gene expression profiles and 1300 small molecules.

package bioconductor-connectivitymap

(downloads) docker_bioconductor-connectivitymap

versions:
1.38.0-01.36.0-01.33.0-01.30.0-11.30.0-01.28.0-01.26.0-11.26.0-01.24.0-0

1.38.0-01.36.0-01.33.0-01.30.0-11.30.0-01.28.0-01.26.0-11.26.0-01.24.0-01.22.0-01.20.0-11.20.0-01.18.0-0

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-connectivitymap

and update with::

   mamba update bioconductor-connectivitymap

To create a new environment, run:

mamba create --name myenvname bioconductor-connectivitymap

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-connectivitymap:<tag>

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

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