recipe methplotlib

Plot methylation data obtained from nanopolish

Homepage:

https://github.com/wdecoster/methplotlib

License:

MIT / MIT

Recipe:

/methplotlib/meta.yaml

package methplotlib

versions:

0.21.2-0,  0.20.1-0,  0.20.0-0,  0.19.0-0,  0.18.1-0,  0.17.0-0,  0.14.1-0,  0.14.0-0,  0.13.1-0, 

0.21.2-0,  0.20.1-0,  0.20.0-0,  0.19.0-0,  0.18.1-0,  0.17.0-0,  0.14.1-0,  0.14.0-0,  0.13.1-0,  0.13.0-0,  0.12.0-0,  0.8.0-0,  0.7.0-0,  0.6.0-0,  0.4.0-0

depends biopython:

depends fisher:

>=0.1.9

depends numpy:

>=1.14.3

depends pandas:

>=0.23.4

depends plotly:

>=4.9.0

depends pyfaidx:

depends pyranges:

>=0.0.77

depends pysam:

depends python:

>=3

depends scikit-learn:

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 methplotlib

and update with::

   mamba update methplotlib

To create a new environment, run:

mamba create --name myenvname methplotlib

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/methplotlib:<tag>

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

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