recipe paragone

Identify ortholog groups from a set of paralog sequences from multiple taxa.

Homepage:

https://github.com/chrisjackson-pellicle/ParaGone

Documentation:

https://github.com/chrisjackson-pellicle/ParaGone/wiki

License:

GPL3 / GPL-3.0-or-later

Recipe:

/paragone/meta.yaml

package paragone

(downloads) docker_paragone

versions:

1.1.3-0,  1.1.2-0,  1.1.1-1,  1.1.1-0,  1.1.0-1,  1.1.0-0,  1.0.0-0

depends biopython:

>=1.79

depends clustalo:

>=1.2.4

depends ete3:

>=3.1.2

depends fasttree:

depends hmmer:

>=3.3.2

depends iqtree:

>=2.2.0.3

depends julia:

1.8.5.*

depends mafft:

>=7.245

depends openmp:

>=8.0.1

depends python:

>=3.9,<3.10.0a0

depends python_abi:

3.9.* *_cp39

depends r-base:

>=4.0.3

depends treeshrink:

depends trimal:

>=1.4.1

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 paragone

and update with::

   mamba update paragone

To create a new environment, run:

mamba create --name myenvname paragone

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/paragone:<tag>

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

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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