recipe ghmm

General Hidden Markov Model library (GHMM) is a freely available C library implementing efficient data structures and algorithms for basic and extended HMMs with discrete and continous emissions

Homepage:

http://ghmm.org/

License:

GPL2

Recipe:

/ghmm/meta.yaml

package ghmm

versions:

0.9-2,  0.9-1,  0.9-0

depends libgcc-ng:

>=12

depends libxml2:

>=2.9.14,<2.10.0a0

depends perl:

>=5.32.1,<5.33.0a0 *_perl5

depends python:

>=2.7,<2.8.0a0

depends python_abi:

2.7.* *_cp27mu

depends swig:

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 ghmm

and update with::

   mamba update ghmm

To create a new environment, run:

mamba create --name myenvname ghmm

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/ghmm:<tag>

(see `ghmm/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/ghmm/README.html)