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Bioconductor - crisprScore (development version)

crisprScore

This is the development version of crisprScore; for the stable release version, see crisprScore.

On-Target and Off-Target Scoring Algorithms for CRISPR gRNAs

Bioconductor version: Development (3.22)

Provides R wrappers of several on-target and off-target scoring methods for CRISPR guide RNAs (gRNAs). The following nucleases are supported: SpCas9, AsCas12a, enAsCas12a, and RfxCas13d (CasRx). The available on-target cutting efficiency scoring methods are RuleSet1, Azimuth, DeepHF, DeepCpf1, enPAM+GB, and CRISPRscan. Both the CFD and MIT scoring methods are available for off-target specificity prediction. The package also provides a Lindel-derived score to predict the probability of a gRNA to produce indels inducing a frameshift for the Cas9 nuclease. Note that DeepHF, DeepCpf1 and enPAM+GB are not available on Windows machines.

Author: Jean-Philippe Fortin [aut, cre, cph], Aaron Lun [aut], Luke Hoberecht [ctb], Pirunthan Perampalam [ctb]

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

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

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("crisprScore")
Details biocViews CRISPR, FunctionalGenomics, FunctionalPrediction, Software Version 1.13.1 In Bioconductor since BioC 3.15 (R-4.2) (3 years) License MIT + file LICENSE Depends R (>= 4.1), crisprScoreData(>= 1.1.3) Imports basilisk(>= 1.9.2), BiocGenerics, Biostrings, IRanges, methods, randomForest, reticulate, stringr, utils, XVector System Requirements URL https://github.com/crisprVerse/crisprScore/issues Bug Reports https://github.com/crisprVerse/crisprScore See More Package Archives

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


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