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Bioconductor - CytoML (development version)

CytoML

This is the development version of CytoML; for the stable release version, see CytoML.

A GatingML Interface for Cross Platform Cytometry Data Sharing

Bioconductor version: Development (3.22)

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")): Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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")
Details biocViews DataImport, DataRepresentation, FlowCytometry, ImmunoOncology, Software Version 2.21.0 In Bioconductor since BioC 3.4 (R-3.3) (8.5 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++11 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.

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