recipe scnic

SCNIC: Sparse Cooccurence Network Investigation for Compositional data

Homepage:

https://github.com/lozuponelab/SCNIC

License:

BSD / BSD-3-Clause

Recipe:

/scnic/meta.yaml

package scnic

versions:

0.6.6-0,  0.6.3-0,  0.6.2-0,  0.6.1-0,  0.6.0-0,  0.5.3-0,  0.5.1-0

depends biom-format:

depends fastspar:

depends h5py:

depends matplotlib-base:

depends networkx:

>=2

depends numpy:

depends pandas:

>=1

depends python:

>=3

depends scikit-bio:

depends scipy:

>=1.9.0,<=1.10.1

depends seaborn-base:

depends statsmodels:

depends tqdm:

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 scnic

and update with::

   mamba update scnic

To create a new environment, run:

mamba create --name myenvname scnic

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/scnic:<tag>

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

Download stats

Link to this page

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