recipe bioconductor-oppar

Outlier profile and pathway analysis in R

Homepage:

https://bioconductor.org/packages/3.20/bioc/html/oppar.html

License:

GPL-2

Recipe:

/bioconductor-oppar/meta.yaml

Links:

biotools: oppar

The R implementation of mCOPA package published by Wang et al. (2012). Oppar provides methods for Cancer Outlier profile Analysis. Although initially developed to detect outlier genes in cancer studies, methods presented in oppar can be used for outlier profile analysis in general. In addition, tools are provided for gene set enrichment and pathway analysis.

package bioconductor-oppar

(downloads) docker_bioconductor-oppar

versions:
1.34.0-1,  1.34.0-0,  1.30.0-0,  1.28.0-0,  1.26.0-1,  1.26.0-0,  1.22.0-2,  1.22.0-1,  1.22.0-0, 

1.34.0-1,  1.34.0-0,  1.30.0-0,  1.28.0-0,  1.26.0-1,  1.26.0-0,  1.22.0-2,  1.22.0-1,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-1,  1.10.0-0,  1.8.0-0,  1.6.0-0,  1.4.0-0

depends bioconductor-biobase:

>=2.66.0,<2.67.0

depends bioconductor-biobase:

>=2.66.0,<2.67.0a0

depends bioconductor-gseabase:

>=1.68.0,<1.69.0

depends bioconductor-gseabase:

>=1.68.0,<1.69.0a0

depends bioconductor-gsva:

>=2.0.0,<2.1.0

depends bioconductor-gsva:

>=2.0.0,<2.1.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc:

>=13

depends liblapack:

>=3.9.0,<4.0a0

depends r-base:

>=4.4,<4.5.0a0

requirements:

additional platforms:
linux-aarch64

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-oppar

and update with::

   mamba update bioconductor-oppar

To create a new environment, run:

mamba create --name myenvname bioconductor-oppar

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-oppar:<tag>

(see `bioconductor-oppar/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-oppar/README.html)