This is the development version of crisprScoreData; for the stable release version, see crisprScoreData.
Pre-trained models for the crisprScore packageBioconductor version: Development (3.22)
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, entercitation("crisprScoreData")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("crisprScoreData")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("crisprScoreData")
Details See More Package Archives
Follow Installation instructions to use this package in your R session.
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