recipe bioconductor-crisprscoredata

Pre-trained models for the crisprScore package

Homepage:

https://bioconductor.org/packages/3.16/data/experiment/html/crisprScoreData.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-crisprscoredata/meta.yaml

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

Versions:

1.2.0-0

Depends:

• bioconductor-annotationhub >=3.6.0,<3.7.0

• bioconductor-data-packages >=20221109

• bioconductor-experimenthub >=2.6.0,<2.7.0

• curl

• r-base >=4.2,<4.3.0a0

Required By:

• bioconductor-crisprscore

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-crisprscoredata

and update with:

conda update bioconductor-crisprscoredata

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-crisprscoredata:<tag>

(see bioconductor-crisprscoredata/tags for valid values for <tag>)

Download stats

Link to this page

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