recipe corgi

Classifier for ORganelle Genomes Inter alia

Homepage:

https://pypi.org/project/bio-corgi/

Documentation:

https://rbturnbull.github.io/corgi/

Developer docs:

https://github.com/rbturnbull/corgi

License:

Apache-2.0

Recipe:

/corgi/meta.yaml

package corgi

(downloads) docker_corgi

versions:

0.4.0-0

depends appdirs:

>=1.4.4,<2.0.0

depends beautifulsoup4:

>=4.10.0,<5.0.0

depends biopython:

>=1.79.0,<2.0.0

depends cryptography:

>=36.0.1,<37.0.0

depends dask-core:

>=2021.7.1,<2022.0.0

depends fastai:

>=2.4.1,<3.0.0

depends h5py:

>=3.1.0,<4.0.0

depends httpx:

>=0.20.0,<0.21.0

depends humanize:

>=3.10.0,<4.0.0

depends optuna:

>=2.10.0,<3.0.0

depends plotly:

>=5.3.1,<6.0.0

depends progressbar2:

>=3.53.1,<4.0.0

depends pyarrow:

>=5.0.0

depends pymysql:

>=1.0.2,<2.0.0

depends python:

>=3.8,<3.12

depends termgraph:

>=0.5.3,<0.6.0

depends torchapp:

>=0.3.1

depends wandb:

>=0.12.9,<0.13.0

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 corgi

and update with::

   mamba update corgi

To create a new environment, run:

mamba create --name myenvname corgi

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/corgi:<tag>

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

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