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

(downloads) docker_egglib

Versions:
3.6.0-13.6.0-03.5.2-03.3.5-03.3.4-13.3.4-03.3.3-13.3.3-03.3.2-1

3.6.0-13.6.0-03.5.2-03.3.5-03.3.4-13.3.4-03.3.3-13.3.3-03.3.2-13.3.2-03.3.1-03.3.0-03.1.0-33.1.0-13.1.0-03.0.0b21-13.0.0b21-0

Depends:
  • on click

  • on htslib >=1.23,<1.24.0a0

  • on libgcc >=14

  • on libstdcxx >=14

  • on platformdirs

  • on python >=3.10,<3.11.0a0

  • on python_abi 3.10.* *_cp310

  • on scipy

Additional platforms:

Installation

You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).

Pixi

With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:

pixi global install egglib

to add into an existing workspace instead, run:

pixi add egglib

In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:

pixi workspace channel add conda-forge
pixi workspace channel add bioconda

Conda

With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:

conda install egglib

Alternatively, to install into a new environment, run:

conda create -n envname egglib

with envname being the name of the desired environment.

Container

Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:

docker pull quay.io/biocontainers/egglib:<tag>

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

Integrated deployment

Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.

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