crisprScoreData

DOI: 10.18129/B9.bioc.crisprScoreData  

Pre-trained models for the crisprScore package

Bioconductor version: Release (3.16)

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>

Installation

To install this package, start R (version "4.2") 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")

 

HTML	R Script	crisprScoreData
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	ExperimentData, ExperimentHub, Homo_sapiens_Data
Version	1.2.0
License	MIT + file LICENSE
Depends	ExperimentHub
Imports	AnnotationHub, utils
LinkingTo
Suggests	BiocStyle, knitr, rmarkdown, testthat
SystemRequirements
Enhances
URL	https://github.com/crisprVerse/crisprScoreData/issues
BugReports	https://github.com/crisprVerse/crisprScoreData
Depends On Me	crisprScore
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	crisprScoreData_1.2.0.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