recipe velocyto.py

A library for the analysis of RNA velocity.

Homepage:

https://github.com/velocyto-team/velocyto.py

License:

MIT

Recipe:

/velocyto.py/meta.yaml

Links:

doi: 10.1038/s41586-018-0414-6

package velocyto.py

versions:

0.17.17-7,  0.17.17-6,  0.17.17-5,  0.17.17-4,  0.17.17-3,  0.17.17-2,  0.17.17-1,  0.17.17-0

depends _openmp_mutex:

>=4.5

depends click:

depends h5py:

depends libgcc-ng:

>=12

depends loompy:

depends matplotlib-base:

depends numba:

depends numpy:

>=1.22.4,<2.0a0

depends pandas:

depends pysam:

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

depends samtools:

depends scikit-learn:

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 velocyto.py

and update with::

   mamba update velocyto.py

To create a new environment, run:

mamba create --name myenvname velocyto.py

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/velocyto.py:<tag>

(see `velocyto.py/tags`_ for valid values for ``<tag>``)

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