DOI: 10.18129/B9.bioc.DegNorm  

DegNorm: degradation normalization for RNA-seq data

Bioconductor version: Release (3.17)

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")):


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biocViews Alignment, BatchEffect, Coverage, DataImport, DifferentialExpression, GeneExpression, ImmunoOncology, Normalization, QualityControl, RNASeq, Sequencing, Software
Version 1.10.1
In Bioconductor since BioC 3.12 (R-4.0) (3 years)
License LGPL (>= 3)
Depends R (>= 4.0.0), methods
Imports Rcpp (>= 1.0.2), GenomicFeatures, parallel, foreach, S4Vectors, doParallel, Rsamtools(>= 1.31.2), GenomicAlignments, heatmaply, data.table, stats, ggplot2, GenomicRanges, IRanges, plyr, plotly, utils, viridis
LinkingTo Rcpp, RcppArmadillo, S4Vectors, IRanges
Suggests knitr, rmarkdown, formatR
Depends On Me
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Source Package DegNorm_1.10.1.tar.gz
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macOS Binary (arm64) DegNorm_1.10.1.tgz
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