recipe bioconductor-metavolcanor

Gene Expression Meta-analysis Visualization Tool






MetaVolcanoR combines differential gene expression results. It implements three strategies to summarize differential gene expression from different studies. i) Random Effects Model (REM) approach, ii) a p-value combining-approach, and iii) a vote-counting approach. In all cases, MetaVolcano exploits the Volcano plot reasoning to visualize the gene expression meta-analysis results.

package bioconductor-metavolcanor

(downloads) docker_bioconductor-metavolcanor



depends bioconductor-topconfects:


depends r-base:


depends r-cowplot:

depends r-data.table:

depends r-dplyr:

depends r-ggplot2:

depends r-htmlwidgets:

depends r-metafor:

depends r-metap:

depends r-plotly:

depends r-rlang:

depends r-tidyr:



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-metavolcanor

and update with::

   mamba update bioconductor-metavolcanor

To create a new environment, run:

mamba create --name myenvname bioconductor-metavolcanor

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-metavolcanor/tags`_ for valid values for ``<tag>``)

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