recipe mantis_pfa

Consensus-driven protein function annotation tool

Homepage:

https://github.com/PedroMTQ/Mantis

License:

MIT / MIT

Recipe:

/mantis_pfa/meta.yaml

Links:

biotools: mantis_pfa, doi: 10.1093/gigascience/giab042

Mantis is a fully customizable protein function annotation, that dynamically integrates multiple reference databases to produce consensus-driven annotations.

package mantis_pfa

versions:

1.5.5-4,  1.5.5-3,  1.5.5-2,  1.5.5-1,  1.5.5-0,  1.5.4-0,  1.5.3-0,  1.5.1-0,  1.5.0-1, 

1.5.5-4,  1.5.5-3,  1.5.5-2,  1.5.5-1,  1.5.5-0,  1.5.4-0,  1.5.3-0,  1.5.1-0,  1.5.0-1,  1.5.0-0,  1.4.9-1,  1.4.9-0,  1.4.8-1,  1.4.8-0,  1.4.7-1,  1.4.7-0,  1.4.5-0,  1.4.4-0,  1.4.3-0

depends cython:

depends diamond:

>=2.0.13

depends hmmer:

>=3.2.1

depends libgcc:

>=13

depends nltk:

>=3.6

depends numpy:

depends psutil:

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

depends requests:

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 mantis_pfa

and update with::

   mamba update mantis_pfa

To create a new environment, run:

mamba create --name myenvname mantis_pfa

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/mantis_pfa:<tag>

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

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