recipe physlr

Physlr; Next-generation Physical Maps

Homepage:

https://github.com/bcgsc/physlr

Documentation:

https://github.com/bcgsc/physlr#readme

License:

GPL3

Recipe:

/physlr/meta.yaml

package physlr

versions:

1.0.4-5,  1.0.4-4,  1.0.4-3,  1.0.4-2,  1.0.4-1,  1.0.4-0,  1.0.3-0

depends _openmp_mutex:

>=4.5

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends make:

depends networkx:

depends ntcard:

depends nthits:

depends numpy:

depends pigz:

depends pypy:

depends python:

>=3.6.0

depends scikit-learn:

depends scipy:

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 physlr

and update with::

   mamba update physlr

To create a new environment, run:

mamba create --name myenvname physlr

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/physlr:<tag>

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

Download stats

Link to this page

Render an 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/physlr/README.html)