- recipe svhip
Retrainable machine learning pipeline for the detection of secondary structure conservation on a genome-level.
- package svhip¶
- depends biopython:
- depends blosum:
- depends clustalw:
- depends matplotlib-base:
- depends scikit-learn:
- depends scipy:
- depends seaborn:
- depends viennarna:
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 svhip and update with:: mamba update svhip
To create a new environment, run:
mamba create --name myenvname svhip
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/svhip:<tag> (see `svhip/tags`_ for valid values for ``<tag>``)