recipe evidencemodeler

Evidence Modeler combines ab intio gene predictions, protein alignments, and transcript alignments into weighted consensus gene structures.

Homepage:

https://github.com/EVidenceModeler/EVidenceModeler

License:

BSD / BSD-3-Clause

Recipe:

/evidencemodeler/meta.yaml

package evidencemodeler

versions:

2.1.0-5,  2.1.0-4,  2.1.0-3,  2.1.0-2,  2.1.0-1,  2.1.0-0,  1.1.1-3,  1.1.1-2,  1.1.1-1, 

2.1.0-5,  2.1.0-4,  2.1.0-3,  2.1.0-2,  2.1.0-1,  2.1.0-0,  1.1.1-3,  1.1.1-2,  1.1.1-1,  1.1.1-0,  v1.1.1-0

depends _openmp_mutex:

>=4.5

depends libgcc:

>=13

depends libgomp:

depends libstdcxx:

>=13

depends perl:

depends perl-carp:

depends perl-db_file:

depends perl-dbi:

depends perl-uri:

requirements:

additional platforms:

linux-aarch64,  osx-arm64

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 evidencemodeler

and update with::

   mamba update evidencemodeler

To create a new environment, run:

mamba create --name myenvname evidencemodeler

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/evidencemodeler:<tag>

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

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