recipe smcpp

SMC++ infers population history from whole-genome sequence data.

Homepage:

https://github.com/popgenmethods/smcpp

License:

BSD

Recipe:

/smcpp/meta.yaml

package smcpp

versions:

1.15.4-0

depends appdirs:

depends gmp:

>=6.3.0,<7.0a0

depends gnuplot:

depends gsl:

>=2.7,<2.8.0a0

depends libgcc:

>=13

depends libstdcxx:

>=13

depends matplotlib-base:

>=3,<3.6

depends mpfr:

<4.2

depends mpfr:

>=4.1.0,<5.0a0

depends numpy:

>=1.22.4,<2.0a0

depends pandas:

>=1.4

depends pysam:

>=0.18

depends python:

>=3.9,<3.10.0a0 *_cpython

depends python_abi:

3.9.* *_cp39

depends scikit-learn:

>=1

depends scipy:

>=1.8

depends seaborn:

depends setuptools_scm:

depends tqdm:

requirements:

additional platforms:

linux-aarch64

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 smcpp

and update with::

   mamba update smcpp

To create a new environment, run:

mamba create --name myenvname smcpp

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/smcpp:<tag>

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

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