flowCore

This is the released version of flowCore; for the devel version, see flowCore.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9, 2.8, 2.7, 2.6, 2.5

flowCore: Basic structures for flow cytometry data

Bioconductor version: Release (3.23)

Provides S4 data structures and basic functions to deal with flow cytometry data.

Author: B Ellis [aut], Perry Haaland [aut], Florian Hahne [aut], Nolwenn Le Meur [aut], Nishant Gopalakrishnan [aut], Josef Spidlen [aut], Mike Jiang [aut, cre], Greg Finak [aut], Samuel Granjeaud [ctb]

Maintainer: Mike Jiang <mike at ozette.com>

Citation (from within R, enter citation("flowCore")):

B Ellis, Perry Haaland, Florian Hahne, Nolwenn Le Meur, Nishant Gopalakrishnan, Josef Spidlen, Mike Jiang, Greg Finak. flowCore: flowCore: Basic structures for flow cytometry data. doi:10.18129/B9.bioc.flowCore, R package version 2.24.0, https://bioconductor.org/packages/flowCore.

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")

BiocManager::install("flowCore")

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("flowCore")

Basic Functions for Flow Cytometry Data	PDF	R Script
fcs3.html	HTML
hyperlog.notice.html	HTML
Reference Manual	PDF
NEWS	Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	CellBasedAssays, FlowCytometry, ImmunoOncology, Infrastructure, Software
Version	2.24.0
In Bioconductor since	BioC 2.0 (R-2.5) (19.5 years)
License	Artistic-2.0
Depends	R (>= 3.5.0)
Imports	Biobase, BiocGenerics (>= 0.29.2), grDevices, graphics, methods, stats, utils, stats4, Rcpp, matrixStats, cytolib (>= 2.13.1), S4Vectors
System Requirements	GNU make, C++17
URL

Suggests	Rgraphviz, flowViz, flowStats (>= 3.43.4), testthat, flowWorkspace, flowWorkspaceData, openCyto, knitr, ggcyto, gridExtra
Linking To	cpp11, BH (>= 1.81.0.0), cytolib, RProtoBufLib
Enhances
Depends On Me	flowBeads, flowBin, flowClean, flowCut, flowFP, flowMatch, flowTime, flowTrans, flowViz, flowVS, ggcyto, HDCytoData, healthyFlowData, highthroughputassays, immunoClust, infinityFlow, ncdfFlow
Imports Me	CATALYST, cmapR, CompensAID, CONFESS, cyanoFilter, cydar, CytoDx, cytofQC, CytoMDS, cytoMEM, CytoML, CytoPipeline, CytoPipelineGUI, ddPCRclust, diffcyt, flowAI, flowBeads, flowCHIC, flowClust, flowDensity, flowGate, flowMeans, flowMerge, flowPloidy, FlowSOM, flowSpecs, flowStats, flowTrans, flowViz, flowWorkspace, GateFinder, MAPFX, MetaCyto, ncdfFlow, openCyto, PeacoQC, scDataviz, scifer, Sconify, staRgate, tidyFlowCore, tidytof
Suggests Me	flowPeaks, flowPloidyData, hypergate, MDSvis, MuPETFlow, segmenTier, SuperCellCyto
Links To Me
Build Report	Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	flowCore_2.24.0.tar.gz
Windows Binary (x86_64)	flowCore_2.24.0.zip
macOS Binary (big-sur-x86_64)	flowCore_2.24.0.tgz
macOS Binary (sonoma-arm64)	flowCore_2.24.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/flowCore
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/flowCore
Package Short Url	https://bioconductor.org/packages/flowCore/
Package Downloads Report	Download Stats