recipe acms

Ambivalent Covariance Models (aCMs) are our prototypic suggestion to extend CMs with more than one consensus structure.

Homepage:

https://bibiserv.cebitec.uni-bielefeld.de/acms

License:

GPL-3.0-or-later

Recipe:

/acms/meta.yaml

Links:

doi: 10.1186/s12859-015-0569-1, doi: 10.1093/bioinformatics/btu649

package acms

(downloads) docker_acms

versions:

1.3.0-2,  1.3.0-1,  1.3.0-0

depends bellmans-gapc:

>=2024.01.12

depends bellmans-gapc:

>=2024.1.12

depends ghc:

depends libgcc:

>=13

depends libstdcxx:

>=13

depends perl:

>=5.32.1,<5.33.0a0 *_perl5

requirements:

additional platforms:
linux-aarch64

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 acms

and update with::

   mamba update acms

To create a new environment, run:

mamba create --name myenvname acms

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/acms:<tag>

(see `acms/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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