- recipe bioconductor-crisprscoredata
Pre-trained models for the crisprScore package
MIT + file LICENSE
Provides an interface to access pre-trained models for on-target and off-target gRNA activity prediction algorithms implemented in the crisprScore package. Pre-trained model data are stored in the ExperimentHub database. Users should consider using the crisprScore package directly to use and load the pre-trained models.
- package bioconductor-crisprscoredata¶
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 bioconductor-crisprscoredata and update with:: mamba update bioconductor-crisprscoredata
To create a new environment, run:
mamba create --name myenvname bioconductor-crisprscoredata
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/bioconductor-crisprscoredata:<tag> (see `bioconductor-crisprscoredata/tags`_ for valid values for ``<tag>``)