recipe ancestry_hmm-s

Inferring adaptive introgression from genomic data using hidden Markov models







doi: 10.1101/2020.08.02.232934

Ancestry_HMM-S is a program designed to infer adaptive introgression from genomic data. It can both identify loci that has increased in frequency due to selection and quantify the strength of selection that has acted upon each locus.

package ancestry_hmm-s

(downloads) docker_ancestry_hmm-s


depends armadillo:


depends libgcc-ng:


depends libstdcxx-ng:




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 ancestry_hmm-s

and update with::

   mamba update ancestry_hmm-s

To create a new environment, run:

mamba create --name myenvname ancestry_hmm-s

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<tag>

(see `ancestry_hmm-s/tags`_ for valid values for ``<tag>``)

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