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crisprScoreData

This is the released version of crisprScoreData; for the devel version, see crisprScoreData.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15

Pre-trained models for the crisprScore package

DOI: 10.18129/B9.bioc.crisprScoreData

Bioconductor version: Release (3.23)

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.

Author: Jean-Philippe Fortin [aut, cre, cph]

Maintainer: Jean-Philippe Fortin <fortin946 at gmail.com>

Citation (from within R, enter citation("crisprScoreData")):

Jean-Philippe Fortin. crisprScoreData: Pre-trained models for the crisprScore package. doi:10.18129/B9.bioc.crisprScoreData, R package version 1.16.0, https://bioconductor.org/packages/crisprScoreData.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("crisprScoreData")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("crisprScoreData")

Details

Package Archives

Follow Installation instructions to use this package in your R session.