recipe bioconductor-curatedadiporna

A Curated RNA-Seq Dataset of MDI-induced Differentiated Adipocytes (3T3-L1)






A curated dataset of RNA-Seq samples. The samples are MDI-induced pre-phagocytes (3T3-L1) at different time points/stage of differentiation. The package document the data collection, pre-processing and processing. In addition to the documentation, the package contains the scripts that was used to generated the data.

package bioconductor-curatedadiporna

(downloads) docker_bioconductor-curatedadiporna



depends bioconductor-data-packages:


depends bioconductor-summarizedexperiment:


depends curl:

depends r-base:




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-curatedadiporna

and update with::

   mamba update bioconductor-curatedadiporna

To create a new environment, run:

mamba create --name myenvname bioconductor-curatedadiporna

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

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