recipe bioconductor-mirtarrnaseq







mirTarRnaSeq R package can be used for interactive mRNA miRNA sequencing statistical analysis. This package utilizes expression or differential expression mRNA and miRNA sequencing results and performs interactive correlation and various GLMs (Regular GLM, Multivariate GLM, and Interaction GLMs ) analysis between mRNA and miRNA expriments. These experiments can be time point experiments, and or condition expriments.

package bioconductor-mirtarrnaseq

(downloads) docker_bioconductor-mirtarrnaseq



depends r-assertthat:

depends r-base:


depends r-catools:

depends r-corrplot:

depends r-data.table:

depends r-dplyr:

depends r-ggplot2:

depends r-mass:

depends r-pheatmap:

depends r-pscl:

depends r-purrr:

depends r-r.utils:

depends r-reshape2:

depends r-viridis:



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-mirtarrnaseq

and update with::

   mamba update bioconductor-mirtarrnaseq

To create a new environment, run:

mamba create --name myenvname bioconductor-mirtarrnaseq

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

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