recipe bioconductor-magpie

MeRIP-Seq data Analysis for Genomic Power Investigation and Evaluation






This package aims to perform power analysis for the MeRIP-seq study. It calculates FDR, FDC, power, and precision under various study design parameters, including but not limited to sample size, sequencing depth, and testing method. It can also output results into .xlsx files or produce corresponding figures of choice.

package bioconductor-magpie

(downloads) docker_bioconductor-magpie



depends bioconductor-annotationdbi:


depends bioconductor-biocparallel:


depends bioconductor-deseq2:


depends bioconductor-genomicfeatures:


depends bioconductor-genomicranges:


depends bioconductor-iranges:


depends bioconductor-rsamtools:


depends bioconductor-rtracklayer:


depends bioconductor-s4vectors:


depends bioconductor-tress:


depends r-aod:

depends r-base:


depends r-matrix:

depends r-matrixstats:

depends r-openxlsx:

depends r-rcolorbrewer:

depends r-reshape2:



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-magpie

and update with::

   mamba update bioconductor-magpie

To create a new environment, run:

mamba create --name myenvname bioconductor-magpie

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<tag>

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

Download stats