recipe selam

Simulation of Epistasis Local adaptation, with Ancestry and Mate choice

Homepage:

https://github.com/russcd/SELAM/

License:

GPL3

Recipe:

/selam/meta.yaml

Links:

doi: 10.1093/bioinformatics/btw365

SELAM (Simulation of Epistasis, Local adaptation with Admixture and Mate choice) is a forward time population genetic simulation for studying admixture between ancestral subpopulations. This program tracks local ancestry along chromosomes. SELAM supports complex demography scenarios, including changes in population sizes, migration rates, and arbitrary numbers of subpopulations. This program can also accommodate sophisticated selective regimes, including dominance, epistasis, local adaptation, and mate choice.

package selam

(downloads) docker_selam

Versions:

0.9-4,  0.9-3,  0.9-2,  0.9-1,  0.9-0

Depends:

  • on gsl >=2.7,<2.8.0a0

  • on libgcc >=13

  • on libstdcxx >=13

Additional platforms:
linux-aarch64

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 selam

to add into an existing workspace instead, run:

pixi add selam

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 selam

Alternatively, to install into a new environment, run:

conda create -n envname selam

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/selam:<tag>

(see selam/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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