recipe babappalign

Deep learning–based progressive multiple sequence alignment engine with learned residue scoring

Homepage:

https://github.com/sinhakrishnendu/BABAPPAlign

License:

MIT

Recipe:

/babappalign/meta.yaml

package babappalign

versions:

1.0.4-0,  1.0.0-0

depends biopython:

depends fair-esm:

depends numpy:

depends pandas:

depends python:

>=3.13,<3.14.0a0

depends python_abi:

3.13.* *_cp313

depends pytorch:

>=1.12

depends scipy:

depends tqdm:

depends transformers:

>=4.30

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 babappalign

and update with::

   mamba update babappalign

To create a new environment, run:

mamba create --name myenvname babappalign

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/babappalign:<tag>

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

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Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/babappalign/README.html)