Package: ReactomeGSA 1.27.1

Johannes Griss
ReactomeGSA: Client for the Reactome Analysis Service for comparative multi-omics gene set analysis
The ReactomeGSA packages uses Reactome's online analysis service to perform a multi-omics gene set analysis. The main advantage of this package is, that the retrieved results can be visualized using REACTOME's powerful webapplication. Since Reactome's analysis service also uses R to perfrom the actual gene set analysis you will get similar results when using the same packages (such as limma and edgeR) locally. Therefore, if you only require a gene set analysis, different packages are more suited.
Authors:
ReactomeGSA_1.27.1.tar.gz
ReactomeGSA_1.27.1.zip(r-4.7)ReactomeGSA_1.27.1.zip(r-4.6)ReactomeGSA_1.27.1.zip(r-4.5)
ReactomeGSA_1.27.1.tgz(r-4.6-any)ReactomeGSA_1.27.1.tgz(r-4.5-any)
ReactomeGSA_1.27.1.tar.gz(r-4.7-any)ReactomeGSA_1.27.1.tar.gz(r-4.6-any)
ReactomeGSA_1.27.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ReactomeGSA/json (API)
NEWS
| # Install 'ReactomeGSA' in R: |
| install.packages('ReactomeGSA', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/reactome/reactomegsa/issues
On BioConductor:ReactomeGSA-1.27.0(bioc 3.24)ReactomeGSA-1.26.0(bioc 3.23)
genesetenrichmentproteomicstranscriptomicssystemsbiologygeneexpressionreactome
Last updated from:22b9e27954. Checks:7 WARNING, 2 OK, 1 ERROR. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | WARNING | 272 | ||
| linux-devel-x86_64 | WARNING | 789 | ||
| source / vignettes | OK | 514 | ||
| linux-release-x86_64 | WARNING | 843 | ||
| macos-release-arm64 | WARNING | 560 | ||
| macos-oldrel-arm64 | WARNING | 535 | ||
| windows-devel | WARNING | 1911 | ||
| windows-release | ERROR | 1265 | ||
| windows-oldrel | WARNING | 1939 | ||
| wasm-release | OK | 263 |
Exports:add_datasetanalyse_sc_clustersfind_public_datasetsgenerate_metadatagenerate_pseudo_bulk_dataget_public_speciesget_reactome_analysis_resultget_reactome_analysis_statusget_reactome_data_typesget_reactome_methodsget_resultload_public_datasetopen_reactomepathwaysperform_reactome_analysisplot_correlationsplot_gsva_heatmapplot_gsva_pathwayplot_gsva_pcaplot_heatmapplot_volcanoprintreactome_linksReactomeAnalysisRequestReactomeAnalysisResultremove_datasetresult_typesset_methodset_parametersshowstart_reactome_analysis
Dependencies:abindaskpassassortheadbeachmatBHBiobaseBiocGenericsBiocParallelBiocSingularbitopscaToolsclicodetoolscpp11crayoncurlDelayedArraydplyrfarverformatRfutile.loggerfutile.optionsgenericsGenomicRangesggplot2gluegplotsgtablegtoolshmshttrigraphIRangesirlbaisobandjsonliteKernSmoothlabelinglambda.rlatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatsmimeopensslpillarpkgconfigprettyunitsprogresspurrrR6RColorBrewerRcpprlangrsvdS4ArraysS4VectorsS7ScaledMatrixscalesSeqinfosnowSparseArraystringistringrSummarizedExperimentsystibbletidyrtidyselectutf8vctrsviridisLitewithrXVector
Analysing single-cell RNA-sequencing Data
Rendered fromanalysing-scRNAseq.Rmdusingknitr::rmarkdownon Jun 05 2026.Last update: 2024-11-07
Started: 2020-04-11
Loading and re-analysing public data through ReactomeGSA
Rendered fromreanalysing-public-data.Rmdusingknitr::rmarkdownon Jun 05 2026.Last update: 2024-02-01
Started: 2023-11-28
Using the ReactomeGSA package
Rendered fromusing-reactomegsa.Rmdusingknitr::rmarkdownon Jun 05 2026.Last update: 2023-11-12
Started: 2019-07-01