recipe sdrf-pipelines

Translate, convert SDRF to configuration pipelines

Homepage:

https://github.com/bigbio/sdrf-pipelines

License:

Apache 2

Recipe:

/sdrf-pipelines/meta.yaml

package sdrf-pipelines

(downloads) docker_sdrf-pipelines

versions:
0.0.25-00.0.24-00.0.23-00.0.22-00.0.21-00.0.20-00.0.19-00.0.18-00.0.17-0

0.0.25-00.0.24-00.0.23-00.0.22-00.0.21-00.0.20-00.0.19-00.0.18-00.0.17-00.0.14-00.0.13-00.0.12-00.0.11-00.0.10-00.0.9-00.0.8-00.0.7-00.0.5-00.0.4-00.0.3-00.0.2-0

depends click:

depends defusedxml:

depends pandas:

depends pandas_schema:

depends pyaml:

depends pytest:

depends python:

>=3.5

depends requests:

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 sdrf-pipelines

and update with::

   mamba update sdrf-pipelines

To create a new environment, run:

mamba create --name myenvname sdrf-pipelines

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/sdrf-pipelines:<tag>

(see `sdrf-pipelines/tags`_ for valid values for ``<tag>``)

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