recipe raccoon

Raccoon - Rigorous Alignment Curation: Cleanup Of Outliers and Noise.

Homepage:

https://github.com/artic-network/raccoon

Documentation:

https://github.com/artic-network/raccoon/blob/main/README.md

License:

MIT / MIT

Recipe:

/raccoon/meta.yaml

package raccoon

(downloads) docker_raccoon

versions:

1.0-0

depends baltic:

depends biopython:

>=1.79

depends jinja2:

>=3.1.0

depends matplotlib-base:

>=3.3.1

depends numpy:

>=1.20.0

depends pandas:

>=1.3.0

depends plotly:

>=5.0.0

depends python:

>=3.10

depends scipy:

depends seaborn:

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 raccoon

and update with::

   mamba update raccoon

To create a new environment, run:

mamba create --name myenvname raccoon

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/raccoon:<tag>

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

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