Package: Glimma 2.17.0
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_2.17.0.tar.gz
Glimma_2.17.0.zip(r-4.5)Glimma_2.17.0.zip(r-4.4)Glimma_2.17.0.zip(r-4.3)
Glimma_2.17.0.tgz(r-4.4-any)Glimma_2.17.0.tgz(r-4.3-any)
Glimma_2.17.0.tar.gz(r-4.5-noble)Glimma_2.17.0.tar.gz(r-4.4-noble)
Glimma_2.17.0.tgz(r-4.4-emscripten)Glimma_2.17.0.tgz(r-4.3-emscripten)
Glimma.pdf |Glimma.html✨
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-2.17.0(bioc 3.21)Glimma-2.16.0(bioc 3.20)
differentialexpressiongeneexpressionmicroarrayreportwritingrnaseqsequencingvisualizationdifferential-expressioninteractive-visualizations
Last updated 2 months agofrom:895d8b3e17. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 29 2024 |
| R-4.5-win | NOTE | Nov 29 2024 |
| R-4.5-linux | NOTE | Nov 29 2024 |
| R-4.4-win | NOTE | Nov 29 2024 |
| R-4.4-mac | NOTE | Nov 29 2024 |
| R-4.3-win | NOTE | Nov 29 2024 |
| R-4.3-mac | NOTE | Nov 29 2024 |
Exports:glimmaMAglimmaMDglimmaMDSglimmaVolcanoglimmaXYglMDPlotglMDRmdglMDSPlotglXYPlot
Dependencies:abindaskpassbase64encBHBiobaseBiocGenericsBiocParallelbslibcachemclicodetoolscolorspacecpp11crayoncurlDelayedArrayDESeq2digestedgeRevaluatefansifarverfastmapfontawesomeformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablehighrhtmltoolshtmlwidgetshttrIRangesisobandjquerylibjsonliteknitrlabelinglambda.rlatticelifecyclelimmalocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigR6rappdirsRColorBrewerRcppRcppArmadillorlangrmarkdownS4ArraysS4VectorssassscalessnowSparseArraystatmodSummarizedExperimentsystibbletinytexUCSC.utilsutf8vctrsviridisLitewithrxfunXVectoryamlzlibbioc
DESeq2
Rendered fromDESeq2.Rmdusingknitr::rmarkdownon Nov 29 2024.Last update: 2021-09-23
Started: 2020-10-21
Introduction using limma or edgeR
Rendered fromlimma_edger.Rmdusingknitr::rmarkdownon Nov 29 2024.Last update: 2022-03-08
Started: 2020-10-21
Single Cells with edgeR
Rendered fromsingle_cell_edger.Rmdusingknitr::rmarkdownon Nov 29 2024.Last update: 2022-03-08
Started: 2021-09-20
