CytoML
A GatingML Interface for Cross Platform Cytometry Data Sharing
Bioconductor version: 3.24 · Package version: 2.25.0
Uses platform-specific implemenations of the GatingML2.0 standard to exchange gated cytometry data with other software platforms.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("CytoML")Details
| Maintainer | Mike Jiang <mike@ozette.com> |
| Author | Mike Jiang, Jake Wagner |
| License | AGPL-3.0-only |
| URL | https://github.com/RGLab/CytoML |
| Bug Reports | https://github.com/RGLab/CytoML/issues |
| System Requirements | xml2, GNU make, C++17 |
| Downloads rank | 1187 |
| Source branch | devel |
| biocViews | DataImport, DataRepresentation, FlowCytometry, ImmunoOncology, Software |
Documentation
- Import FlowJo workspace to R
- How to export a GatingSet to GatingML
- How to import Cytobank into a GatingSet
Download
Follow the installation instructions to use this package in your R session.
| Source package | CytoML_2.25.0.tar.gz |
| Windows binary (x86_64) | CytoML_2.25.0.zip |
| macOS binary (arm64) | CytoML_2.25.0.tgz |
| macOS binary (x86_64) | CytoML_2.25.0.tgz |
Dependencies
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
LinkingTo: cpp11, BH (>= 1.62.0-1), RProtoBufLib, cytolib, Rhdf5lib, flowWorkspace
Suggests: testthat, flowWorkspaceData, knitr, rmarkdown, parallel
Reverse dependencies
Suggests Me (3): FlowSOM, flowWorkspace, openCyto