DOI: 10.18129/B9.bioc.Glimma    

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

Interactive HTML graphics

Bioconductor version: Development (3.17)

This package generates interactive visualisations for analysis of RNA-sequencing data using output from limma, edgeR or DESeq2 packages in an HTML page. The interactions are built on top of the popular static representations of analysis results in order to provide additional information.

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 "4.3") 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:



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


biocViews DifferentialExpression, GeneExpression, Microarray, RNASeq, ReportWriting, Sequencing, Software, Visualization
Version 2.9.0
In Bioconductor since BioC 3.3 (R-3.3) (6.5 years)
License GPL-3
Depends R (>= 4.0.0)
Imports htmlwidgets, edgeR, DESeq2, limma, SummarizedExperiment, stats, jsonlite, methods, S4Vectors
Suggests testthat, knitr, rmarkdown, BiocStyle, IRanges, GenomicRanges, pryr, AnnotationHub, scRNAseq, scater, scran
Depends On Me RNAseq123
Imports Me affycoretools
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package Glimma_2.9.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone
Source Repository (Developer Access) git clone
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