CytoPipeline
This is the development version of CytoPipeline; for the stable release version, see CytoPipeline.
Automation and visualization of flow cytometry data analysis pipelines
Bioconductor version: Development (3.24)
This package provides support for automation and visualization of flow cytometry data analysis pipelines. In the current state, the package focuses on the preprocessing and quality control part. The framework is based on two main S4 classes, i.e. CytoPipeline and CytoProcessingStep. The pipeline steps are linked to corresponding R functions - that are either provided in the CytoPipeline package itself, or exported from a third party package, or coded by the user her/himself. The processing steps need to be specified centrally and explicitly using either a json input file or through step by step creation of a CytoPipeline object with dedicated methods. After having run the pipeline, obtained results at all steps can be retrieved and visualized thanks to file caching (the running facility uses a BiocFileCache implementation). The package provides also specific visualization tools like pipeline workflow summary display, and 1D/2D comparison plots of obtained flowFrames at various steps of the pipeline.
Author: Philippe Hauchamps [aut, cre] 
, Laurent Gatto [aut] , Dan Lin [ctb]
Maintainer: Philippe Hauchamps <philippe.hauchamps at uclouvain.be>
citation("CytoPipeline")):Philippe Hauchamps, Laurent Gatto. CytoPipeline: Automation and visualization of flow cytometry data analysis pipelines. doi:10.18129/B9.bioc.CytoPipeline, R package version 1.13.1, https://bioconductor.org/packages/CytoPipeline.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("CytoPipeline")For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CytoPipeline")| Automation and Visualization of Flow Cytometry Data Analysis Pipelines | HTML | R Script |
| Demonstration of the CytoPipeline R package suite functionalities | HTML | R Script |
| Reference Manual | ||
| NEWS | Text | |
| LICENSE | Text |
Details
| biocViews | FlowCytometry, ImmunoOncology, Preprocessing, QualityControl, Software, Visualization, WorkflowStep |
| Version | 1.13.1 |
| In Bioconductor since | BioC 3.17 (R-4.3) (3.5 years) |
| License | GPL-3 |
| Depends | R (>= 4.4) |
| Imports | methods, stats, utils, withr, rlang, ggplot2 (>= 3.4.1), ggcyto, BiocFileCache, BiocParallel, flowCore, PeacoQC, flowAI, diagram, jsonlite, scales |
| System Requirements | |
| URL | https://uclouvain-cbio.github.io/CytoPipeline |
| Bug Reports | https://github.com/UCLouvain-CBIO/CytoPipeline/issues |
See More
| Suggests | testthat (>= 3.0.0), vdiffr, diffviewer, knitr, rmarkdown, BiocStyle, reshape2, dplyr, CytoPipelineGUI |
| Linking To | |
| Enhances | |
| Depends On Me | CytoPipelineGUI |
| Imports Me | CytoMDS |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report, r-universe |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | CytoPipeline_1.13.1.tar.gz |
| Windows Binary (x86_64) | CytoPipeline_1.13.1.zip (64-bit only) |
| macOS Binary (big-sur-x86_64) | CytoPipeline_1.13.1.tgz |
| macOS Binary (sonoma-arm64) | CytoPipeline_1.13.1.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/CytoPipeline |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/CytoPipeline |
| Package Short Url | https://bioconductor.org/packages/CytoPipeline/ |
| Package Downloads Report | Download Stats |