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Interactive visualizations for gene expression analysis

Bioconductor version: Release (3.19)

This package produces interactive visualizations for RNA-seq data analysis, utilizing output from limma, edgeR, or DESeq2. It produces interactive htmlwidgets versions of popular RNA-seq analysis plots to enhance the exploration of analysis results by overlaying interactive features. The plots can be viewed in a web browser or embedded in notebook documents.

Author: Shian Su [aut, cre], Hasaru Kariyawasam [aut], Oliver Voogd [aut], Matthew Ritchie [aut], Charity Law [aut], Stuart Lee [ctb], Isaac Virshup [ctb]

Maintainer: Shian Su <su.s at>

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


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:

DESeq2 HTML R Script
Introduction using limma or edgeR HTML R Script
Single Cells with edgeR HTML R Script
Reference Manual PDF


biocViews DifferentialExpression, GeneExpression, Microarray, RNASeq, ReportWriting, Sequencing, Software, Visualization
Version 2.14.0
In Bioconductor since BioC 3.3 (R-3.3) (8 years)
License GPL-3
Depends R (>= 4.0.0)
Imports htmlwidgets, edgeR, DESeq2, limma, SummarizedExperiment, stats, jsonlite, methods, S4Vectors
System Requirements
Bug Reports
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Suggests testthat, knitr, rmarkdown, BiocStyle, IRanges, GenomicRanges, pryr, AnnotationHub, scRNAseq, scater, scran
Linking To
Depends On Me RNAseq123
Imports Me affycoretools
Suggests Me
Links To Me
Build Report Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package Glimma_2.14.0.tar.gz
Windows Binary
macOS Binary (x86_64) Glimma_2.14.0.tgz
macOS Binary (arm64) Glimma_2.14.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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