recipe loomxpy

Python package (compatible with SCope) to create .loom files and extend them with other data (like SCENIC regulons)

Homepage:

https://github.com/aertslab/loomxpy

License:

MIT

Recipe:

/loomxpy/meta.yaml

package loomxpy

versions:

0.4.2-0

depends click:

depends dataclasses-json:

>=0.5.3

depends loompy:

>=3.0.7,<4.0.0

depends numpy:

>=1.20.2

depends pandas:

>=1.2.4

depends pyscenic:

>=0.12.0

depends python:

>=3.9

depends scikit-learn:

>=0.24.2

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 loomxpy

and update with::

   mamba update loomxpy

To create a new environment, run:

mamba create --name myenvname loomxpy

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/loomxpy:<tag>

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

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Link to this page

Render an badge with the following MarkDown:

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