recipe dice

Cell lineage reconstruction from single-cell CNA data

Homepage:

https://github.com/samsonweiner/DICE

License:

GPL-3.0-only

Recipe:

/dice/meta.yaml

DICE (short for Distance-based Inference of Copy-number Evolution) is a collection of fast and accurate methods for reconstructing cell lineage trees from single-cell copy number aberration data.

package dice

versions:

1.1.0-0,  1.0.0-0

depends fastme:

depends numpy:

>=1.20.3

depends pandas:

>=1.5.2

depends python:

>=3.9

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 dice

and update with::

   mamba update dice

To create a new environment, run:

mamba create --name myenvname dice

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/dice:<tag>

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

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