recipe ifcnv

ifCNV: a novel isolation-forest-based package to detect copy number variations from various NGS datasets.

Homepage:

https://github.com/SimCab-CHU/ifCNV

License:

GPL3 / GNU General Public v3 (GPLv3)

Recipe:

/ifcnv/meta.yaml

package ifcnv

versions:

0.2.1-0

depends numpy:

>=1.21

depends pandas:

>=1.3

depends plotly:

>=5.4

depends pybedtools:

>=0.8.2

depends python:

depends scikit-learn:

>=1.0.1

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 ifcnv

and update with::

   mamba update ifcnv

To create a new environment, run:

mamba create --name myenvname ifcnv

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/ifcnv:<tag>

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

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