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Statistical analysis of RNA editing sites and hyper-editing regions

Bioconductor version: Release (3.19)

RNAeditr analyzes site-specific RNA editing events, as well as hyper-editing regions. The editing frequencies can be tested against binary, continuous or survival outcomes. Multiple covariate variables as well as interaction effects can also be incorporated in the statistical models.

Author: Lanyu Zhang [aut, cre], Gabriel Odom [aut], Tiago Silva [aut], Lissette Gomez [aut], Lily Wang [aut]

Maintainer: Lanyu Zhang <jennyzly2016 at>

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


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

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


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

Introduction to rnaEditr HTML R Script
Reference Manual PDF


biocViews DimensionReduction, Epigenetics, FeatureExtraction, GeneTarget, RNASeq, Regression, Software, Survival
Version 1.14.0
In Bioconductor since BioC 3.12 (R-4.0) (3.5 years)
License GPL-3
Depends R (>= 4.0)
Imports GenomicRanges, IRanges, BiocGenerics, GenomeInfoDb, bumphunter, S4Vectors, stats, survival, logistf, plyr, corrplot
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Follow Installation instructions to use this package in your R session.

Source Package rnaEditr_1.14.0.tar.gz
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macOS Binary (x86_64) rnaEditr_1.14.0.tgz
macOS Binary (arm64) rnaEditr_1.14.0.tgz
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