Package: crisprScore
Version: 1.15.2
Date: 2025-11-20
Title: On-Target and Off-Target Scoring Algorithms for CRISPR gRNAs
Authors@R: c(
    person("Jean-Philippe", "Fortin", email = "fortin946@gmail.com", role = c("aut", "cre", "cph")),
    person("Aaron", "Lun", email = "infinite.monkeys.with.keyboards@gmail.com", role = c("aut")),
    person("Luke", "Hoberecht", email = "lukehob3@gmail.com", role = c("ctb")),
    person("Pirunthan", "Perampalam", email = "pirunthan@gmail.com", role = c("ctb")))
Depends:
    R (>= 4.1),
    crisprScoreData (>= 1.1.3)
Imports:
    BiocGenerics,
    Biostrings,
    IRanges,
    methods,
    randomForest,
    reticulate,
    stringr,
    utils,
    XVector
Suggests:
    BiocStyle,
    knitr,
    rmarkdown,
    testthat
biocViews:
    CRISPR,
    FunctionalGenomics,
    FunctionalPrediction
Description:
    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, RuleSet3, DeepHF, 
    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 and enPAM+GB are not available on Windows machines. 
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
VignetteBuilder: knitr
StagedInstall: no
BugReports: https://github.com/crisprVerse/crisprScore
URL: https://github.com/crisprVerse/crisprScore/issues
LazyData: true
git_url: https://git.bioconductor.org/packages/crisprScore
git_branch: devel
git_last_commit: c805e17
git_last_commit_date: 2025-11-20
Repository: Bioconductor 3.23
