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Report of DEG analysis

Bioconductor version: Release (3.19)

Creation of ready-to-share figures of differential expression analyses of count data. It integrates some of the code mentioned in DESeq2 and edgeR vignettes, and report a ranked list of genes according to the fold changes mean and variability for each selected gene.

Author: Lorena Pantano [aut, cre], John Hutchinson [ctb], Victor Barrera [ctb], Mary Piper [ctb], Radhika Khetani [ctb], Kenneth Daily [ctb], Thanneer Malai Perumal [ctb], Rory Kirchner [ctb], Michael Steinbaugh [ctb], Ivo Zeller [ctb]

Maintainer: Lorena Pantano <lorena.pantano at>

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


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

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QC and downstream analysis for differential expression RNA-seq HTML R Script
Reference Manual PDF


biocViews DifferentialExpression, GeneExpression, ImmunoOncology, RNASeq, ReportWriting, Software, Visualization
Version 1.40.1
In Bioconductor since BioC 3.0 (R-3.1) (9.5 years)
License MIT + file LICENSE
Depends R (>= 4.0.0)
Imports utils, methods, Biobase, BiocGenerics, broom, circlize, ComplexHeatmap, cowplot, ConsensusClusterPlus, cluster, dendextend, DESeq2, dplyr, edgeR, ggplot2, ggdendro, grid, ggrepel, grDevices, knitr, logging, magrittr, psych, RColorBrewer, reshape, rlang, scales, stats, stringr, stringi, S4Vectors, SummarizedExperiment, tidyr, tibble
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Source Package DEGreport_1.40.1.tar.gz
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macOS Binary (x86_64) DEGreport_1.40.1.tgz
macOS Binary (arm64) DEGreport_1.40.1.tgz
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