recipe deepsignal-plant

A deep-learning method for detecting DNA methylation state from Oxford Nanopore sequencing reads of plants

Homepage:

https://github.com/PengNi/deepsignal-plant

License:

GPL3 / GNU General Public v3 (GPLv3)

Recipe:

/deepsignal-plant/meta.yaml

package deepsignal-plant

(downloads) docker_deepsignal-plant

versions:

0.1.6-00.1.5-00.1.4-00.1.3-00.1.2-0

depends h5py:

>=2.8.0

depends numpy:

>=1.19.2

depends python:

>=3.8

depends pytorch:

>=1.2.0,<=1.11.0

depends scikit-learn:

>=1.0.2

depends statsmodels:

>=0.13.2

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 deepsignal-plant

and update with::

   mamba update deepsignal-plant

To create a new environment, run:

mamba create --name myenvname deepsignal-plant

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/deepsignal-plant:<tag>

(see `deepsignal-plant/tags`_ for valid values for ``<tag>``)

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