recipe bioconductor-proper

PROspective Power Evaluation for RNAseq

Homepage:

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

License:

GPL

Recipe:

/bioconductor-proper/meta.yaml

Links:

biotools: proper

This package provide simulation based methods for evaluating the statistical power in differential expression analysis from RNA-seq data.

package bioconductor-proper

versions:

1.34.0-0,  1.32.0-0,  1.30.0-0,  1.26.0-0,  1.24.0-0,  1.22.0-1,  1.22.0-0,  1.20.0-0,  1.18.0-0, 

1.34.0-0,  1.32.0-0,  1.30.0-0,  1.26.0-0,  1.24.0-0,  1.22.0-1,  1.22.0-0,  1.20.0-0,  1.18.0-0,  1.16.0-1,  1.16.0-0,  1.14.1-0,  1.14.0-0,  1.12.0-0,  1.10.0-0,  1.8.0-0

depends bioconductor-edger:

>=4.0.0,<4.1.0

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-proper

and update with::

   mamba update bioconductor-proper

To create a new environment, run:

mamba create --name myenvname bioconductor-proper

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-proper:<tag>

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

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