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

Create rapid visualizations of RNAseq data in R

Bioconductor version: Development (3.19)

The aim of vidger is to rapidly generate information-rich visualizations for the interpretation of differential gene expression results from three widely-used tools: Cuffdiff, DESeq2, and edgeR.

Author: Brandon Monier [aut, cre], Adam McDermaid [aut], Jing Zhao [aut], Qin Ma [aut, fnd]

Maintainer: Brandon Monier <brandon.monier at>

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


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

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

# The following initializes usage of Bioc devel


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:

Visualizing RNA-seq data with ViDGER HTML R Script
Reference Manual PDF


biocViews DifferentialExpression, GeneExpression, ImmunoOncology, RNASeq, Software, Visualization
Version 1.23.0
In Bioconductor since BioC 3.7 (R-3.5) (6 years)
License GPL-3 | file LICENSE
Depends R (>= 3.5)
Imports Biobase, DESeq2, edgeR, GGally, ggplot2, ggrepel, knitr, RColorBrewer, rmarkdown, scales, stats, SummarizedExperiment, tidyr, utils
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Follow Installation instructions to use this package in your R session.

Source Package vidger_1.23.0.tar.gz
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macOS Binary (x86_64) vidger_1.23.0.tgz
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