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crisprScoreData

Pre-trained models for the crisprScore package


Bioconductor version: Release (3.18)

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")):

Installation

To install this package, start R (version "4.3") 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")
crisprScoreData HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews ExperimentData, ExperimentHub, Homo_sapiens_Data
Version 1.6.0
License MIT + file LICENSE
Depends ExperimentHub
Imports AnnotationHub, utils
System Requirements
URL https://github.com/crisprVerse/crisprScoreData/issues
Bug Reports https://github.com/crisprVerse/crisprScoreData
See More
Suggests BiocStyle, knitr, rmarkdown, testthat
Linking To
Enhances
Depends On Me crisprScore
Imports Me crisprVerse
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package crisprScoreData_1.6.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/crisprScoreData
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/crisprScoreData
Package Short Url https://bioconductor.org/packages/crisprScoreData/
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