Package: CytoPipelineGUI 1.11.0

Philippe Hauchamps

CytoPipelineGUI: GUI's for visualization of flow cytometry data analysis pipelines

This package is the companion of the `CytoPipeline` package. It provides GUI's (shiny apps) for the visualization of flow cytometry data analysis pipelines that are run with `CytoPipeline`. Two shiny applications are provided, i.e. an interactive flow frame assessment and comparison tool and an interactive scale transformations visualization and adjustment tool.

Authors:Philippe Hauchamps [aut, cre], Laurent Gatto [aut], Dan Lin [ctb]

CytoPipelineGUI_1.11.0.tar.gz
CytoPipelineGUI_1.11.0.zip(r-4.7)CytoPipelineGUI_1.11.0.zip(r-4.6)CytoPipelineGUI_1.11.0.zip(r-4.5)
CytoPipelineGUI_1.11.0.tgz(r-4.6-any)CytoPipelineGUI_1.11.0.tgz(r-4.5-any)
CytoPipelineGUI_1.11.0.tar.gz(r-4.7-any)CytoPipelineGUI_1.11.0.tar.gz(r-4.6-any)
CytoPipelineGUI_1.11.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
CytoPipelineGUI/json (API)
NEWS

# Install 'CytoPipelineGUI' in R:
install.packages('CytoPipelineGUI', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/uclouvain-cbio/cytopipelinegui/issues

Pkgdown/docs site:https://uclouvain-cbio.github.io

On BioConductor:CytoPipelineGUI-1.11.0(bioc 3.24)CytoPipelineGUI-1.10.0(bioc 3.23)

flowcytometrypreprocessingqualitycontrolworkflowstepimmunooncologysoftwarevisualizationguishinyapps

5.00 score 2 stars 4 scripts 258 downloads 6 exports 136 dependencies

Last updated from:19c97d5630. Checks:1 NOTE, 7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE194
linux-devel-x86_64WARNING360
source / vignettesOK265
linux-release-x86_64WARNING311
macos-release-arm64WARNING143
macos-oldrel-arm64WARNING617
windows-develWARNING228
windows-releaseWARNING214
windows-oldrelWARNING228
wasm-releaseOK162

Exports:CytoPipelineCheckAppplotDiffFlowFrameplotScaleTransformedChannelplotSelectedFlowFrameplotSelectedWorkflowScaleTransformApp

Dependencies:abindaskpassbase64encBHBiobaseBiocFileCacheBiocGenericsbiocmakeBiocParallelbitbit64blobbslibcachemchangepointcirclizecliclueclustercodetoolscolorspacecommonmarkComplexHeatmapcpp11crayoncrosstalkcurlcytolibCytoPipelinedata.tableDBIdbplyrDelayedArraydiagramdigestdir.expirydoParalleldplyrevaluatefarverfastmapfilelockflowAIflowCoreflowWorkspacefontawesomeforeachformatRfsfutile.loggerfutile.optionsgenericsGetoptLongggcytoggplot2GlobalOptionsgluegraphgridExtragtablehexbinhighrhtmltoolshtmlwidgetshttpuvhttrhttr2IRangesisobanditeratorsjquerylibjsonliteknitrlabelinglambda.rlaterlatticelazyevallifecyclemagrittrMatrixMatrixGenericsmatrixStatsmemoisemimencdfFlowopensslotelPeacoQCpillarpkgconfigplotlyplyrpngpromisespurrrR6rappdirsRBGLRColorBrewerRcppreshape2RgraphvizRhdf5librjsonrlangrmarkdownRProtoBufLibRSQLiteS4ArraysS4VectorsS7sassscalesshapeshinysnowsourcetoolsSparseArraystringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunXMLxtableXVectoryamlzoo

CytoPipelineGUI : visualization of Flow Cytometry Data Analysis Pipelines run with CytoPipeline

Rendered fromCytoPipelineGUI.Rmdusingknitr::rmarkdownon May 28 2026.

Last update: 2026-01-14
Started: 2023-07-04

Demonstration of the CytoPipeline R package suite functionalities

Rendered fromDemo.Rmdusingknitr::rmarkdownon May 28 2026.

Last update: 2023-09-04
Started: 2023-09-04