- recipe selene-sdk
Framework for developing sequence-level deep learning networks.
- Homepage:
- License:
BSD 3-clause clear
- Recipe:
- package selene-sdk¶
- versions:
0.5.3-0,0.5.0-5,0.5.0-4,0.5.0-3,0.5.0-1,0.5.0-0,0.4.8-3,0.4.8-2,0.4.8-1,0.5.3-0,0.5.0-5,0.5.0-4,0.5.0-3,0.5.0-1,0.5.0-0,0.4.8-3,0.4.8-2,0.4.8-1,0.4.8-0,0.4.7-0,0.4.6-0,0.4.5-0,0.4.4-0,0.4.3-0,0.4.2-0,0.4.1-0,0.3.0-2,0.3.0-1,0.3.0-0,0.2.0-1,0.2.0-0,0.1.3-0,0.1.2-0,0.0.1-0- depends click:
- depends h5py:
- depends libgcc-ng:
>=12- depends matplotlib-base:
- depends numpy:
>=1.22.4,<2.0a0- depends pandas:
- depends plotly:
- depends pyfaidx:
- depends pytabix:
- depends python:
>=3.10,<3.11.0a0- depends python_abi:
3.10.* *_cp310- depends pyyaml:
>=5.1- depends scikit-learn:
- depends scipy:
- depends seaborn:
- depends statsmodels:
- depends torchvision:
- 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 selene-sdk and update with:: mamba update selene-sdk
To create a new environment, run:
mamba create --name myenvname selene-sdk
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/selene-sdk:<tag> (see `selene-sdk/tags`_ for valid values for ``<tag>``)
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Link to this page¶
Render an 
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[](http://bioconda.github.io/recipes/selene-sdk/README.html)
