Glimma
This is the released version of Glimma; for the devel version, see Glimma.
All Bioconductor versions of Glimma
3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3
Interactive visualizations for gene expression analysis
Bioconductor version: 3.23 · Package version: 2.22.1
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 wehi.edu.au>
Citation
From within R, enter citation("Glimma"):
Shian Su, Hasaru Kariyawasam, Oliver Voogd, Matthew Ritchie, Charity Law. Glimma: Interactive visualizations for gene expression analysis. doi:10.18129/B9.bioc.Glimma, R package version 2.22.1, https://bioconductor.org/packages/Glimma.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("Glimma")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 2.22.1 |
| License | GPL-3 |
| URL | https://github.com/hasaru-k/GlimmaV2 |
| Bug Reports | https://github.com/hasaru-k/GlimmaV2/issues |
| Last updated | 2026-06-16 |
| In Bioconductor since | BioC 3.3 (R-3.3) (10 years) |
| Downloads rank | 260 of 2,418 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | DifferentialExpression, GeneExpression, Microarray, RNASeq, ReportWriting, Sequencing, Software, Visualization |
| Package Short Url | https://bioconductor.org/packages/Glimma/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("Glimma")| DESeq2 | HTML | R Script |
| Introduction using limma or edgeR | HTML | R Script |
| Single Cells with edgeR | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | Glimma_2.22.1.tar.gz |
| Windows binary (x86_64) | Glimma_2.22.1.zip |
| macOS binary (arm64) | Glimma_2.22.1.tgz |
| macOS binary (x86_64) | Glimma_2.22.1.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/Glimma |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/Glimma |
| Package Downloads Report | Download Stats |
| Old Source Packages for BioC 3.23 | Source Archive |
Dependencies
Depends: R (>= 4.0.0)
Imports: htmlwidgets, edgeR, DESeq2, limma, SummarizedExperiment, stats, jsonlite, methods, S4Vectors
Suggests: testthat, knitr, rmarkdown, BiocStyle, IRanges, GenomicRanges, purrr, AnnotationHub, scRNAseq, scater, scran, scRNAseq
Reverse dependencies
Depends On Me (1): RNAseq123
Imports Me (1): affycoretools
Suggests Me (1): mastR