recipe ampliconclassifier

AmpliconClassifier classifies the output of AmpliconArchitect to detect different types of focal amplifications.

Homepage:

https://github.com/jluebeck/AmpliconClassifier

License:

BSD / BSD 2-Clause

Recipe:

/ampliconclassifier/meta.yaml

package ampliconclassifier

(downloads) docker_ampliconclassifier

versions:

0.4.14-00.4.9-00.4.5-10.4.5-0

depends intervaltree:

depends matplotlib-base:

depends pandas:

depends python:

>=3.7

depends scipy:

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 ampliconclassifier

and update with::

   mamba update ampliconclassifier

To create a new environment, run:

mamba create --name myenvname ampliconclassifier

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/ampliconclassifier:<tag>

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

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