- recipe deepac
Predicting pathogenic potentials of novel DNA with reverse-complement neural networks.
- Homepage:
- Documentation:
- License:
MIT / MIT
- Recipe:
- package deepac¶
- versions:
0.14.1-0,0.14.0-0,0.13.6-0,0.13.5-0,0.13.4-0,0.13.3-0,0.13.2-0,0.12.2-0,0.12.1-0,0.14.1-0,0.14.0-0,0.13.6-0,0.13.5-0,0.13.4-0,0.13.3-0,0.13.2-0,0.12.2-0,0.12.1-0,0.12.0-0,0.11.0-0,0.10.1-0,0.9.3-1,0.9.3-0,0.9.2-0,0.9.1-0- depends bedtools:
>=2.30.0- depends biopython:
>=1.79- depends h5py:
2.10- depends matplotlib-base:
>=3.5.0- depends numpy:
>=1.19.5- depends pandas:
>=1.3.4- depends psutil:
>=5.8.0- depends pybedtools:
>=0.8.2- depends python:
>=3.7,<3.10- depends python-wget:
>=3.2- depends requests:
>=2.26.0- depends scikit-learn:
>=1.0.1- depends scipy:
>=1.7.3- depends seaborn:
>=0.11.2- depends shap:
>=0.40.0- depends statsmodels:
>=0.13.1- depends tensorflow:
>=2.4.1- depends tqdm:
>=4.62.3- depends weblogo:
>=3.7.8- requirements:
- additional platforms:
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 deepac and update with:: mamba update deepac
To create a new environment, run:
mamba create --name myenvname deepac
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/deepac:<tag> (see `deepac/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an 
badge with the following MarkDown:
[](http://bioconda.github.io/recipes/deepac/README.html)
