recipe egglib

Evolutionary Genetics and Genomics Library. EggLib is a C++/Python library and program package for evolutionary genetics and genomics. Main features are sequence data management, sequence polymorphism analysis, and coalescent simulations. EggLib is a flexible Python module with a performant underlying C++ library and allows fast and intuitive development of Python programs and scripts.

Homepage:

https://egglib.org/

Documentation:

https://www.egglib.org/index.html

Developer docs:

https://gitlab.com/demita/egglib/

License:

GPL3 / GPL-3.0-or-later

Recipe:

/egglib/meta.yaml

Links:

doi: 10.1111/1755-0998.13672, biotools: egglib

package egglib

versions:

3.3.4-0,  3.3.3-1,  3.3.3-0,  3.3.2-1,  3.3.2-0,  3.3.1-0,  3.3.0-0,  3.1.0-3,  3.1.0-1, 

3.3.4-0,  3.3.3-1,  3.3.3-0,  3.3.2-1,  3.3.2-0,  3.3.1-0,  3.3.0-0,  3.1.0-3,  3.1.0-1,  3.1.0-0,  3.0.0b21-1,  3.0.0b21-0

depends click:

depends libgcc:

>=12

depends libstdcxx:

>=12

depends platformdirs:

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

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 egglib

and update with::

   mamba update egglib

To create a new environment, run:

mamba create --name myenvname egglib

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/egglib:<tag>

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

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