recipe bioconductor-panr

Posterior association networks and functional modules inferred from rich phenotypes of gene perturbations

Homepage:

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

License:

Artistic-2.0

Recipe:

/bioconductor-panr/meta.yaml

Links:

biotools: panr, doi: 10.1371/journal.pcbi.1002566

This package provides S4 classes and methods for inferring functional gene networks with edges encoding posterior beliefs of gene association types and nodes encoding perturbation effects.

package bioconductor-panr

(downloads) docker_bioconductor-panr

versions:
1.48.0-01.46.0-01.44.0-01.40.0-01.38.0-01.36.0-11.36.0-01.34.0-01.32.0-0

1.48.0-01.46.0-01.44.0-01.40.0-01.38.0-01.36.0-11.36.0-01.34.0-01.32.0-01.30.0-11.30.0-01.28.1-01.28.0-01.26.0-01.24.0-0

depends bioconductor-reder:

>=2.6.0,<2.7.0

depends r-base:

>=4.3,<4.4.0a0

depends r-igraph:

depends r-mass:

depends r-pvclust:

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-panr

and update with::

   mamba update bioconductor-panr

To create a new environment, run:

mamba create --name myenvname bioconductor-panr

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-panr:<tag>

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

Download stats