recipe dcplib

Modules shared among multiple Data Coordination Platform components.

Homepage:

http://github.com/HumanCellAtlas/dcplib

License:

MIT / MIT

Recipe:

/dcplib/meta.yaml

The Data Coordination Platform (DCP) comprises the infrastructure that supports operation of the Human Cell Atlas (HCA). This package provides modules to DCP components, including the HCA command line interface (CLI).

package dcplib

(downloads) docker_dcplib

versions:
3.12.0-0,  3.11.0-0,  3.9.0-0,  3.8.0-0,  3.7.0-0,  3.3.0-0,  3.2.1-0,  3.2.0-0,  3.1.0-0, 

3.12.0-0,  3.11.0-0,  3.9.0-0,  3.8.0-0,  3.7.0-0,  3.3.0-0,  3.2.1-0,  3.2.0-0,  3.1.0-0,  3.0.0-0,  2.1.2-0,  2.1.1-0,  2.0.3-0

depends boto3:

>=1.7.13

depends crc32c:

depends puremagic:

1.4

depends python:

>=3

depends requests:

>=2.18.4,<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 dcplib

and update with::

   mamba update dcplib

To create a new environment, run:

mamba create --name myenvname dcplib

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/dcplib:<tag>

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

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