recipe scelestial

Scelestial, Single Cell Lineage Tree Inference based on a Steiner Tree Approximation Algorithm

Homepage:

https://github.com/hzi-bifo/scelestial-paper-materials-devel

License:

GPL / GPL 3.0

Recipe:

/scelestial/meta.yaml

package scelestial

(downloads) docker_scelestial

versions:

1.2-3,  1.2-2,  1.2-1,  1.2-0

depends boost:

depends boost-cpp:

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

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 scelestial

and update with::

   mamba update scelestial

To create a new environment, run:

mamba create --name myenvname scelestial

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/scelestial:<tag>

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

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/scelestial/README.html)