recipe est-sfs

est-sfs ( Keightley and Jackson, 2018) is a stand-alone implementation of a method to infer the unfolded site frequency spectrum (the uSFS) and ancestral state probabilities by maximum likelihood (ML).

Homepage:

https://sourceforge.net/projects/est-usfs/

License:

Free for Academic Use

Recipe:

/est-sfs/meta.yaml

Links:

https: :https:`//doi.org/10.1534/genetics.118.301120`

package est-sfs

versions:

2.04-0

depends gsl:

>=2.7,<2.8.0a0

depends libgcc-ng:

>=12

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 est-sfs

and update with::

   mamba update est-sfs

To create a new environment, run:

mamba create --name myenvname est-sfs

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/est-sfs:<tag>

(see `est-sfs/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an badge with the following MarkDown:

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