Introduction | MDS Plot | Interactions with the plot | Modifications to the plot | MA Plot | Using limma | Using edgeR | Volcano Plot | Saving widgets | Session Info
Package: Glimma 2.23.1
Shian Su
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✨
DESCRIPTION |NEWS
card.svg |card.png
Glimma/json (API)
| # 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-2.22.1(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 | 317 | ||
| linux-devel-x86_64 | NOTE | 491 | ||
| source / vignettes | OK | 661 | ||
| linux-release-x86_64 | NOTE | 476 | ||
| macos-release-arm64 | NOTE | 304 | ||
| macos-oldrel-arm64 | NOTE | 228 | ||
| windows-devel | NOTE | 1432 | ||
| windows-release | NOTE | 1476 | ||
| windows-oldrel | NOTE | 1433 | ||
| wasm-release | OK | 248 |
Exports:glimmaMAglimmaMDglimmaMDSglimmaVolcanoglimmaXYglMDPlotglMDRmdglMDSPlotglXYPlot
Dependencies:abindbase64encBHBiobaseBiocGenericsBiocParallelbslibcachemclicodetoolscpp11DelayedArrayDESeq2digestedgeRevaluatefarverfastmapfontawesomeformatRfsfutile.loggerfutile.optionsgenericsGenomicRangesggplot2gluegtablehighrhtmltoolshtmlwidgetsIRangesisobandjquerylibjsonliteknitrlabelinglambda.rlatticelifecyclelimmalocfitMatrixMatrixGenericsmatrixStatsmemoisemimeR6rappdirsRColorBrewerRcppRcppArmadillorlangrmarkdownS4ArraysS4VectorsS7sassscalesSeqinfosnowSparseArraystatmodSummarizedExperimenttinytexvctrsviridisLitewithrxfunXVectoryaml
Introduction using limma or edgeR
Last update: 2022-03-08
Started: 2020-10-21
Single Cells with edgeR
Session Info
Last update: 2022-03-08
Started: 2021-09-20
DESeq2
Introduction | MDS Plot | Interactions with the plot | Modifications to the plot | MA Plot | Saving widgets | Session Info
Last update: 2021-09-23
Started: 2020-10-21
