recipe bioconductor-gsvadata

Data employed in the vignette of the GSVA package

Homepage:

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

License:

Artistic-2.0

Recipe:

/bioconductor-gsvadata/meta.yaml

This package stores the data employed in the vignette of the GSVA package. These data belong to the following publications: Armstrong et al. Nat Genet 30:41-47, 2002; Cahoy et al. J Neurosci 28:264-278, 2008; Carrel and Willard, Nature, 434:400-404, 2005; Huang et al. PNAS, 104:9758-9763, 2007; Pickrell et al. Nature, 464:768-722, 2010; Skaletsky et al. Nature, 423:825-837; Verhaak et al. Cancer Cell 17:98-110, 2010; Costa et al. FEBS J, 288:2311-2331, 2021.

package bioconductor-gsvadata

(downloads) docker_bioconductor-gsvadata

versions:
1.42.0-0,  1.38.0-0,  1.36.0-0,  1.34.0-0,  1.30.0-1,  1.30.0-0,  1.28.0-0,  1.26.0-1,  1.26.0-0, 

1.42.0-0,  1.38.0-0,  1.36.0-0,  1.34.0-0,  1.30.0-1,  1.30.0-0,  1.28.0-0,  1.26.0-1,  1.26.0-0,  1.24.0-0,  1.22.0-0,  1.20.0-1,  1.18.0-0

depends bioconductor-biobase:

>=2.66.0,<2.67.0

depends bioconductor-data-packages:

>=20241103

depends bioconductor-gseabase:

>=1.68.0,<1.69.0

depends bioconductor-hgu95a.db:

>=3.13.0,<3.14.0

depends bioconductor-summarizedexperiment:

>=1.36.0,<1.37.0

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-gsvadata

and update with::

   mamba update bioconductor-gsvadata

To create a new environment, run:

mamba create --name myenvname bioconductor-gsvadata

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-gsvadata:<tag>

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

Download stats

Link to this page

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

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-gsvadata/README.html)