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DegNorm: degradation normalization for RNA-seq data

Bioconductor version: Release (3.19)

This package performs degradation normalization in bulk RNA-seq data to improve differential expression analysis accuracy.

Author: Bin Xiong and Ji-Ping Wang

Maintainer: Ji-Ping Wang <jzwang at>

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


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:

DegNorm HTML R Script
Reference Manual PDF


biocViews Alignment, BatchEffect, Coverage, DataImport, DifferentialExpression, GeneExpression, ImmunoOncology, Normalization, QualityControl, RNASeq, Sequencing, Software
Version 1.14.0
In Bioconductor since BioC 3.12 (R-4.0) (3.5 years)
License LGPL (>= 3)
Depends R (>= 4.0.0), methods
Imports Rcpp (>= 1.0.2), GenomicFeatures, txdbmaker, parallel, foreach, S4Vectors, doParallel, Rsamtools(>= 1.31.2), GenomicAlignments, heatmaply, data.table, stats, ggplot2, GenomicRanges, IRanges, plyr, plotly, utils, viridis
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Suggests knitr, rmarkdown, formatR
Linking To Rcpp, RcppArmadillo, S4Vectors, IRanges
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Follow Installation instructions to use this package in your R session.

Source Package DegNorm_1.14.0.tar.gz
Windows Binary
macOS Binary (x86_64) DegNorm_1.14.0.tgz
macOS Binary (arm64) DegNorm_1.14.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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