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

RNA editing tools in R

Bioconductor version: Development (3.19)

Toolkit for identification and statistical testing of RNA editing signals from within R. Provides support for identifying sites from bulk-RNA and single cell RNA-seq datasets, and general methods for extraction of allelic read counts from alignment files. Facilitates annotation and exploratory analysis of editing signals using Bioconductor packages and resources.

Author: Kent Riemondy [aut, cre] , Kristen Wells-Wrasman [aut] , Ryan Sheridan [ctb] , Jay Hesselberth [ctb] , RNA Bioscience Initiative [cph, fnd]

Maintainer: Kent Riemondy <kent.riemondy at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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Reference Manual PDF


biocViews Alignment, Annotation, Coverage, Epitranscriptomics, FeatureExtraction, MultipleComparison, RNASeq, Sequencing, SingleCell, Software
Version 1.1.5
In Bioconductor since BioC 3.18 (R-4.3) (< 6 months)
License MIT + file LICENSE
Imports stats, methods, GenomicRanges, IRanges, Rsamtools, BSgenome, Biostrings, SummarizedExperiment, SingleCellExperiment, S4Vectors, GenomeInfoDb, GenomicAlignments, GenomicFeatures, BiocGenerics, BiocParallel, rtracklayer, Matrix, cli
System Requirements GNU make
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Suggests testthat (>= 3.0.0), knitr, DESeq2, edgeR, limma, rmarkdown, BiocStyle, ComplexHeatmap, TxDb.Hsapiens.UCSC.hg38.knownGene, SNPlocs.Hsapiens.dbSNP144.GRCh38, BSgenome.Hsapiens.NCBI.GRCh38, scater, scran, scuttle, AnnotationHub, covr, raerdata, txdbmaker
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