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crisprScoreData

Pre-trained models for the crisprScore package

Bioconductor version: Release (3.17)

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 1.4.0
License MIT + file LICENSE
Depends ExperimentHub
Imports AnnotationHub, utils
Linking To
Suggests BiocStyle, knitr, rmarkdown, testthat
System Requirements
Enhances
URL https://github.com/crisprVerse/crisprScoreData/issues
Bug Reports https://github.com/crisprVerse/crisprScoreData
See More
Depends On Me crisprScore
Imports Me crisprVerse
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package crisprScoreData_1.4.0.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/
Package Downloads Report Download Stats