recipe json_collect_data_source

This tool is able to receive multiple datasets (optionally with their metadata) in a single query. As an extension of the galaxy-json-data-source tool (https://github.com/mdshw5/galaxy-json-data-source), it allows to handle archives (gz, bz2, tar, and zip) organizing their content in a collection.

Homepage:

https://github.com/fabio-cumbo/galaxy-json-collect-data-source

License:

BSD

Recipe:

/json_collect_data_source/meta.yaml

package json_collect_data_source

(downloads) docker_json_collect_data_source

versions:

1.0.1-2,  1.0.1-1,  1.0.1-0,  1.0.0-0

depends python:

>=2.7,<3

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 json_collect_data_source

and update with::

   mamba update json_collect_data_source

To create a new environment, run:

mamba create --name myenvname json_collect_data_source

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/json_collect_data_source:<tag>

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

Download stats

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/json_collect_data_source/README.html)