recipe bigslice

A highly scalable, user-interactive tool for the large scale analysis of Biosynthetic Gene Clusters data.

Homepage:

https://github.com/satriaphd/bigslice

Documentation:

https://github.com/medema-group/bigslice/blob/v2.0/README.md

License:

AGPL / AGPL-3.0-or-later

Recipe:

/bigslice/meta.yaml

Links:

doi: 10.1093/gigascience/giaa154

package bigslice

(downloads) docker_bigslice

versions:

2.0-0

depends biopython:

>=1.73,<=1.83

depends numpy:

depends pandas:

depends psutil:

<=5.8

depends pyarrow:

depends pyhmmer:

depends python:

>=3.7

depends scikit-learn:

depends tqdm:

requirements:

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 bigslice

and update with::

   mamba update bigslice

To create a new environment, run:

mamba create --name myenvname bigslice

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/bigslice:<tag>

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

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Link to this page

Render an install-with-bioconda 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/bigslice/README.html)