recipe macs3

Model Based Analysis for ChIP-Seq data.

Homepage:

https://github.com/macs3-project/MACS

Documentation:

https://macs3-project.github.io/MACS

License:

BSD / BSD-3-Clause

Recipe:

/macs3/meta.yaml

Links:

biotools: macs, doi: 10.1186/gb-2008-9-9-r137, usegalaxy-eu: peakcalling_macs, usegalaxy-eu: macs2_bdgbroadcall, usegalaxy-eu: macs2_bdgcmp, usegalaxy-eu: macs2_bdgdiff, usegalaxy-eu: macs2_bdgpeakcall, usegalaxy-eu: macs2_callpeak, usegalaxy-eu: macs2_filterdup, usegalaxy-eu: macs2_predictd, usegalaxy-eu: macs2_randsample, usegalaxy-eu: macs2_refinepeak

package macs3

(downloads) docker_macs3

versions:

3.0.2-1,  3.0.2-0,  3.0.1-3,  3.0.1-2,  3.0.1-1,  3.0.1-0

depends cykhash:

>=2.0,<3.0

depends hmmlearn:

>=0.3.2

depends libgcc:

>=12

depends libzlib:

>=1.2.13,<2.0a0

depends numpy:

>=1.21,<3

depends numpy:

>=1.25

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

depends scikit-learn:

>=1.3

depends scipy:

>=1.12

requirements:

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 macs3

and update with::

   mamba update macs3

To create a new environment, run:

mamba create --name myenvname macs3

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/macs3:<tag>

(see `macs3/tags`_ for valid values for ``<tag>``)

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