- recipe kipoi
Kipoi: model zoo for genomics
- Homepage:
- Documentation:
- Developer docs:
- License:
MIT / MIT
- Recipe:
Kipoi: model zoo for genomics.
- package kipoi¶
-
- Versions:
0.8.6-0,0.8.5-0,0.8.3-0,0.8.2-0,0.8.1-0,0.8.0-0,0.7.4-0,0.7.3-0,0.7.0-0,0.8.6-0,0.8.5-0,0.8.3-0,0.8.2-0,0.8.1-0,0.8.0-0,0.7.4-0,0.7.3-0,0.7.0-0,0.6.36-0,0.6.35-0,0.6.34-0,0.6.33-0,0.6.31-0,0.6.30-0,0.6.29-0,0.6.25-1,0.6.25-0,0.6.24-1,0.6.24-0,0.6.17-0,0.6.16-0,0.6.14-0,0.6.13-0,0.6.12-0,0.6.5-0,0.6.3-0,0.6.0-0,0.5.7-0,0.3.6-1,0.3.6-0- Depends:
on attrs
<=21.4.0on colorlog
on cookiecutter
>=1.6.0on deprecation
>=2.0.6on future
on h5py
on jinja2
on kipoi-conda
>=0.1.6on kipoi-utils
>=0.7.5on numpy
on pandas
>=0.21.0on python
on pyyaml
on related
>=0.6.0on tinydb
on tqdm
on urllib3
>=1.21.1
- Additional platforms:
Installation¶
You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).
Pixi¶
With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:
pixi global install kipoi
to add into an existing workspace instead, run:
pixi add kipoi
In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:
pixi workspace channel add conda-forge
pixi workspace channel add bioconda
Conda¶
With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:
conda install kipoi
Alternatively, to install into a new environment, run:
conda create -n envname kipoi
with envname being the name of the desired environment.
Container¶
Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:
docker pull quay.io/biocontainers/kipoi:<tag>
(see kipoi/tags for valid values for <tag>).
Integrated deployment¶
Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/kipoi/README.html)