Package: Glimma 2.23.1
Glimma: Interactive visualizations for gene expression analysis
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.
Authors:
Glimma_2.23.1.tar.gz
Glimma_2.23.1.zip(r-4.7)Glimma_2.23.1.zip(r-4.6)Glimma_2.23.1.zip(r-4.5)
Glimma_2.23.1.tgz(r-4.6-any)Glimma_2.23.1.tgz(r-4.5-any)
Glimma_2.23.1.tar.gz(r-4.7-any)Glimma_2.23.1.tar.gz(r-4.6-any)
Glimma_2.23.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
Glimma/json (API)
NEWS
| # Install 'Glimma' in R: |
| install.packages('Glimma', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hasaru-k/glimmav2/issues
On BioConductor:Glimma-2.23.1(bioc 3.24)Glimma-2.21.0(bioc 3.23)
differentialexpressiongeneexpressionmicroarrayreportwritingrnaseqsequencingvisualizationdifferential-expressioninteractive-visualizations
Last updated from:59966a16c6. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 234 | ||
| linux-devel-x86_64 | NOTE | 496 | ||
| source / vignettes | OK | 630 | ||
| linux-release-x86_64 | NOTE | 511 | ||
| macos-release-arm64 | NOTE | 292 | ||
| macos-oldrel-arm64 | NOTE | 349 | ||
| windows-devel | NOTE | 1519 | ||
| windows-release | NOTE | 1410 | ||
| windows-oldrel | NOTE | 1492 | ||
| wasm-release | OK | 209 |
Exports:glimmaMAglimmaMDglimmaMDSglimmaVolcanoglimmaXYglMDPlotglMDRmdglMDSPlotglXYPlot
Dependencies:abindbase64encBHBiobaseBiocGenericsBiocParallelbslibcachemclicodetoolscpp11DelayedArrayDESeq2digestedgeRevaluatefarverfastmapfontawesomeformatRfsfutile.loggerfutile.optionsgenericsGenomicRangesggplot2gluegtablehighrhtmltoolshtmlwidgetsIRangesisobandjquerylibjsonliteknitrlabelinglambda.rlatticelifecyclelimmalocfitMatrixMatrixGenericsmatrixStatsmemoisemimeR6rappdirsRColorBrewerRcppRcppArmadillorlangrmarkdownS4ArraysS4VectorsS7sassscalesSeqinfosnowSparseArraystatmodSummarizedExperimenttinytexvctrsviridisLitewithrxfunXVectoryaml
DESeq2
Rendered fromDESeq2.Rmdusingknitr::rmarkdownon May 30 2026.Last update: 2021-09-23
Started: 2020-10-21
Introduction using limma or edgeR
Rendered fromlimma_edger.Rmdusingknitr::rmarkdownon May 30 2026.Last update: 2022-03-08
Started: 2020-10-21
Single Cells with edgeR
Rendered fromsingle_cell_edger.Rmdusingknitr::rmarkdownon May 30 2026.Last update: 2022-03-08
Started: 2021-09-20
