recipe m-party

Mining Protein dAtasets foR Targeted EnzYmes

Homepage:

https://github.com/ozefreitas/M-PARTY

Documentation:

https://github.com/ozefreitas/M-PARTY/blob/main/README.md

License:

MIT / MIT license

Recipe:

/m-party/meta.yaml

M-PARTY takes an input FASTA file with a variable number of aminoacidic sequences and performes a search against an considerable amount of Hidden Markov Models, previously built and trained from state of the art plastic (PE - polyethylene) degrading enzymes. This process relies on the hmmsearch function from HMMER to perform the structural annotation. Output deduces about the potential presence of plastic degradring enzymes in the inputed sequences, and is composed by 3 distinct files, in order to help the user to have an easier time to read and conclude about the results.

package m-party

(downloads) docker_m-party

versions:

0.2.2-0

depends cd-hit:

depends clint:

depends hmmer:

depends openpyxl:

depends pandas:

depends pyyaml:

depends snakemake:

depends t-coffee:

depends upimapi:

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 m-party

and update with::

   mamba update m-party

To create a new environment, run:

mamba create --name myenvname m-party

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/m-party:<tag>

(see `m-party/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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