recipe mmult

Multiple sample analysis from large-scale WGBS data

Homepage:

https://github.com/lijinbio/MMULT

License:

MIT

Recipe:

/mmult/meta.yaml

package mmult

versions:

0.0.0.2-0

depends boost-cpp:

>=1.70.0,<1.70.1.0a0

depends eigen:

depends libgcc-ng:

>=7.5.0

depends libstdcxx-ng:

>=7.5.0

depends r-base:

>=4.0,<4.1.0a0

depends r-ggplot2:

depends r-gridextra:

depends rapidjson:

depends sundials:

>=5.3.0,<5.4.0a0

depends tbb:

>=2020.2,<2021.0.0a0

depends tbb-devel:

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 mmult

and update with::

   mamba update mmult

To create a new environment, run:

mamba create --name myenvname mmult

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/mmult:<tag>

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

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/mmult/README.html)