recipe m6anet

m6anet is a python package for detection of m6a modifications from Nanopore direct RNA sequencing data.

Homepage:

https://github.com/GoekeLab/m6anet

License:

MIT

Recipe:

/m6anet/meta.yaml

package m6anet

versions:

2.1.0-0,  2.0.2-0

depends joblib:

depends numpy:

>=1.18.0

depends pandas:

>=0.25.3

depends python:

>=3.7,<3.9

depends pytorch:

1.6.0

depends scikit-learn:

>=0.24.0

depends scipy:

>=1.10

depends toml:

>=0.10.2

depends tqdm:

depends typing-extensions:

depends ujson:

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 m6anet

and update with::

   mamba update m6anet

To create a new environment, run:

mamba create --name myenvname m6anet

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/m6anet:<tag>

(see `m6anet/tags`_ for valid values for ``<tag>``)

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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/m6anet/README.html)