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Bioconductor 3.22 Released

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CytoML

This is thereleased version of CytoML; for the devel version, seeCytoML.

A GatingML Interface for Cross Platform Cytometry Data Sharing

Platform availability badgeRanking badgeSupport activity badgeYears in BioConductor badgeBuild results badgeLast commit badgeDependency count badge

DOI: 10.18129/B9.bioc.CytoML


Bioconductor version: Release (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, entercitation("CytoML")):

Installation

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

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

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("CytoML")
flowJo parserHTMLR Script
How to export a GatingSet to GatingMLHTMLR Script
How to import Cytobank into a GatingSetHTMLR Script
Reference ManualPDF
NEWSText
LICENSEText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDataImport,DataRepresentation,FlowCytometry,ImmunoOncology,Software
Version2.22.0
In Bioconductor sinceBioC 3.4 (R-3.3) (9 years)
LicenseAGPL-3.0-only
DependsR (>= 3.5.0)
Importscytolib(>= 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 Requirementsxml2, GNU make, C++11
URLhttps://github.com/RGLab/CytoML
Bug Reportshttps://github.com/RGLab/CytoML/issues
See More
Suggeststestthat,flowWorkspaceData,knitr,rmarkdown, parallel
Linking Tocpp11,BH (>= 1.62.0-1),RProtoBufLib,cytolib,Rhdf5lib,flowWorkspace
Enhances
Depends On Me
Imports Me
Suggests MeFlowSOM,flowWorkspace,openCyto
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageCytoML_2.22.0.tar.gz
Windows Binary (x86_64) CytoML_2.22.0.zip
macOS Binary (x86_64)CytoML_2.22.0.tgz
macOS Binary (arm64)CytoML_2.22.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/CytoML
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/CytoML
Bioc Package Browserhttps://code.bioconductor.org/browse/CytoML/
Package Short Urlhttps://bioconductor.org/packages/CytoML/
Package Downloads ReportDownload Stats

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