recipe bioconductor-macsr

MACS: Model-based Analysis for ChIP-Seq

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/MACSr.html

License:

BSD_3_clause + file LICENSE

Recipe:

/bioconductor-macsr/meta.yaml

The Model-based Analysis of ChIP-Seq (MACS) is a widely used toolkit for identifying transcript factor binding sites. This package is an R wrapper of the lastest MACS3.

package bioconductor-macsr

versions:

1.10.0-0,  1.8.0-0,  1.6.0-0,  1.2.0-0,  1.0.0-0

depends bioconductor-annotationhub:

>=3.10.0,<3.11.0

depends bioconductor-basilisk:

>=1.14.0,<1.15.0

depends bioconductor-experimenthub:

>=2.10.0,<2.11.0

depends bioconductor-s4vectors:

>=0.40.0,<0.41.0

depends r-base:

>=4.3,<4.4.0a0

depends r-reticulate:

requirements:

additional platforms:

Installation

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-macsr

and update with::

   mamba update bioconductor-macsr

To create a new environment, run:

mamba create --name myenvname bioconductor-macsr

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 quay.io/biocontainers/bioconductor-macsr:<tag>

(see `bioconductor-macsr/tags`_ for valid values for ``<tag>``)

Download stats

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