recipe nanonet

Nanonet provides recurrent neural network basecalling for Oxford Nanopore MinION data.

Homepage:

https://github.com/nanoporetech/nanonet

License:

MPL-2.0

Recipe:

/nanonet/meta.yaml

package nanonet

versions:

2.0.0-0

depends argh:

depends boost:

1.60*

depends cython:

depends h5py:

depends hdf5:

depends libgcc:

depends myriad:

>=0.1.2

depends numpy:

depends pathtools:

>=0.1.1

depends python:

2.7*

depends pyyaml:

>=3.10

depends six:

depends watchdog:

requirements:

additional platforms:

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 nanonet

and update with::

   mamba update nanonet

To create a new environment, run:

mamba create --name myenvname nanonet

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/nanonet:<tag>

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

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