- recipe galaxy-data
The Galaxy models, datatype framework, and datatype implementations.
- Homepage:
- Documentation:
- Developer docs:
- License:
AFL-3.0
- Recipe:
- Links:
biotools: galaxy, doi: 10.1093/nar/gky379
- package galaxy-data¶
- versions:
22.1.1-0,21.9.0-0,20.9.1-2,20.9.1-1,20.9.1-0- depends bdbag:
- depends bx-python:
- depends galaxy-objectstore:
>=22.1- depends galaxy-util:
>=22.1- depends galaxy_sequence_utils:
- depends h5py:
- depends isa-rwval:
- depends numpy:
- depends parsley:
- depends pycryptodome:
- depends pydantic:
- depends pysam:
>=0.15- depends python:
>=3.6- depends six:
>=1.9.0- depends social-auth-core:
- depends sqlalchemy:
- depends sqlalchemy-migrate:
- depends sqlalchemy-utils:
- depends webob:
- 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 galaxy-data and update with:: mamba update galaxy-data
To create a new environment, run:
mamba create --name myenvname galaxy-data
with
myenvnamebeing 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/galaxy-data:<tag> (see `galaxy-data/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
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