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  "Package": "crisprScore",
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  "Date": "2026-04-02",
  "Title": "On-Target and Off-Target Scoring Algorithms for CRISPR gRNAs",
  "Authors@R": "c(\nperson(\"Jean-Philippe\", \"Fortin\", email = \"fortin946@gmail.com\", role = c(\"aut\", \"cre\", \"cph\")),\nperson(\"Aaron\", \"Lun\", email = \"infinite.monkeys.with.keyboards@gmail.com\", role = c(\"aut\")),\nperson(\"Luke\", \"Hoberecht\", email = \"lukehob3@gmail.com\", role = c(\"ctb\")),\nperson(\"Pirunthan\", \"Perampalam\", email = \"pirunthan@gmail.com\", role = c(\"ctb\")))",
  "biocViews": "CRISPR, FunctionalGenomics, FunctionalPrediction",
  "Description": "Provides R wrappers of several on-target and off-target\nscoring methods for CRISPR guide RNAs (gRNAs). The following\nnucleases are supported: SpCas9, AsCas12a, enAsCas12a, and\nRfxCas13d (CasRx). The available on-target cutting efficiency\nscoring methods are RuleSet1, RuleSet3, DeepHF, enPAM+GB, and\nCRISPRscan. Both the CFD and MIT scoring methods are available\nfor off-target specificity prediction. The package also\nprovides a Lindel-derived score to predict the probability of a\ngRNA to produce indels inducing a frameshift for the Cas9\nnuclease. Note that DeepHF and enPAM+GB are not available on\nWindows machines.",
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  "Repository": "https://bioc.r-universe.dev",
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