recipe cospar

CoSpar: integrating state and lineage information for dynamic inference

Homepage:

https://github.com/ShouWenWang-Lab/cospar

License:

MIT

Recipe:

/cospar/meta.yaml

package cospar

versions:

0.3.3-0

depends anndata:

>=0.7.5

depends ete3:

>=3.1.2

depends fastcluster:

>=1.1.26

depends gseapy:

>=0.9.13

depends ipywidgets:

depends leidenalg:

>=0.7.0

depends matplotlib-base:

<3.8.0

depends numba:

>=0.52.0

depends numpy:

>=1.19.4

depends pandas:

>=1.1.4

depends plotnine:

>=0.7.1

depends python:

>=3.8

depends scanpy:

>=1.6.0

depends scikit-learn:

>=1.1.1

depends scikit-misc:

>=0.1.3

depends scipy:

>=1.5.4

depends statsmodels:

>=0.14.0

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 cospar

and update with::

   mamba update cospar

To create a new environment, run:

mamba create --name myenvname cospar

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/cospar:<tag>

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

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