- recipe feems
Fast Estimation of Effective Migration Surfaces (FEEMS) + admixture (FEEMSmix)
- Homepage:
- Documentation:
- License:
MIT / MIT
- Recipe:
- Links:
doi: 10.7554/eLife.61927, doi: 10.1371/journal.pgen.1011612
A python package implementing a statistical method for inferring and visualizing gene-flow in spatial population genetic data.
- package feems¶
- versions:
2.0.0-1,2.0.0-0,1.0.0-0- depends cartopy:
- depends click:
- depends fiona:
- depends flake8:
- depends matplotlib-base:
- depends msprime:
- depends networkx:
- depends numpy:
<2- depends openpyxl:
- depends pandas:
- depends pandas-plink:
- depends pep8:
- depends pyproj:
- depends pytest:
- depends python:
>=3.8- depends pyyaml:
- depends scikit-learn:
- depends scikit-sparse:
- depends scipy:
- depends setuptools:
- depends shapely:
- depends statsmodels:
- depends suitesparse:
- depends xlrd:
- requirements:
- additional platforms:
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 feems and update with:: mamba update feems
To create a new environment, run:
mamba create --name myenvname feems
with
myenvnamebeing 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/feems:<tag> (see `feems/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/feems/README.html)
