recipe bioconductor-curatedadipochip

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






A curated dataset of publicly available ChIP-sequencing of transcription factors, chromatin remodelers and histone modifications in the 3T3-L1 pre-adipocyte cell line. The package document the data collection, pre-processing and processing of the data. In addition to the documentation, the package contains the scripts that was used to generated the data.

package bioconductor-curatedadipochip

(downloads) docker_bioconductor-curatedadipochip



depends bioconductor-data-packages:


depends bioconductor-experimenthub:


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-curatedadipochip

and update with::

   mamba update bioconductor-curatedadipochip

To create a new environment, run:

mamba create --name myenvname bioconductor-curatedadipochip

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

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