recipe bioconductor-eatonetalchipseq

ChIP-seq data of ORC-binding sites in Yeast excerpted from Eaton et al. 2010



Artistic 2.0



ChIP-seq analysis subset from "Conserved nucleosome positioning defines replication origins" (PMID 20351051)

package bioconductor-eatonetalchipseq

(downloads) docker_bioconductor-eatonetalchipseq



depends bioconductor-data-packages:


depends bioconductor-genomicranges:


depends bioconductor-rtracklayer:


depends bioconductor-shortread:


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-eatonetalchipseq

and update with::

   mamba update bioconductor-eatonetalchipseq

To create a new environment, run:

mamba create --name myenvname bioconductor-eatonetalchipseq

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

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