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CytoML

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

A GatingML Interface for Cross Platform Cytometry Data Sharing


Bioconductor version: Release (3.23)

Uses platform-specific implemenations of the GatingML2.0 standard to exchange gated cytometry data with other software platforms.

Author: Mike Jiang, Jake Wagner

Maintainer: Mike Jiang <mike at ozette.com>

Citation (from within R, enter citation("CytoML")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("CytoML")

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("CytoML")
flowJo parser HTML R Script
How to export a GatingSet to GatingML HTML R Script
How to import Cytobank into a GatingSet HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews DataImport, DataRepresentation, FlowCytometry, ImmunoOncology, Software
Version 2.24.0
In Bioconductor since BioC 3.4 (R-3.3) (10 years)
License AGPL-3.0-only
Depends R (>= 3.5.0)
Imports cytolib(>= 2.3.10), flowCore(>= 1.99.10), flowWorkspace(>= 4.1.8), openCyto(>= 1.99.2), XML, data.table, jsonlite, RBGL, Rgraphviz, Biobase, methods, graph, graphics, utils, jsonlite, dplyr, grDevices, methods, ggcyto(>= 1.11.4), yaml, stats, tibble
System Requirements xml2, GNU make, C++17
URL https://github.com/RGLab/CytoML
Bug Reports https://github.com/RGLab/CytoML/issues
See More
Suggests testthat, flowWorkspaceData, knitr, rmarkdown, parallel
Linking To cpp11, BH (>= 1.62.0-1), RProtoBufLib, cytolib, Rhdf5lib, flowWorkspace
Enhances
Depends On Me
Imports Me
Suggests Me FlowSOM, flowWorkspace, openCyto
Links To Me
Build Report Build Report

Package Archives

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

Source Package CytoML_2.24.0.tar.gz
Windows Binary (x86_64) CytoML_2.24.0.zip
macOS Binary (big-sur-x86_64) CytoML_2.24.0.tgz
macOS Binary (sonoma-arm64) CytoML_2.24.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/CytoML
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/CytoML
Bioc Package Browser https://code.bioconductor.org/browse/CytoML/
Package Short Url https://bioconductor.org/packages/CytoML/
Package Downloads Report Download Stats