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flowGate

Interactive Cytometry Gating in R

Bioconductor version: 3.24 · Package version: 1.13.1

flowGate adds an interactive Shiny app to allow manual GUI-based gating of flow cytometry data in R. Using flowGate, you can draw 1D and 2D span/rectangle gates, quadrant gates, and polygon gates on flow cytometry data by interactively drawing the gates on a plot of your data, rather than by specifying gate coordinates. This package is especially geared toward wet-lab cytometerists looking to take advantage of R for cytometry analysis, without necessarily having a lot of R experience.

Installation

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

BiocManager::install("flowGate")

Details

MaintainerAndrew Wight <andrew.wight10@gmail.com>
AuthorAndrew Wight [aut, cre] (ORCID: <https://orcid.org/0000-0003-3116-8722>), Harvey Cantor [aut, ldr] (ORCID: <https://orcid.org/0000-0002-3313-2478>)
LicenseMIT + file LICENSE
URLhttps://www.bioconductor.org/packages/release/bioc/html/flowGate.html
Bug Reportshttps://github.com/NKInstinct/flowGate/issues
Downloads rank380
Source branchdevel
biocViewsDataImport, FlowCytometry, ImmunoOncology, Preprocessing, Software, WorkflowStep

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageflowGate_1.13.1.tar.gz
Windows binary (x86_64)flowGate_1.13.1.zip
macOS binary (arm64)flowGate_1.13.1.tgz
macOS binary (x86_64)flowGate_1.13.1.tgz
Dependencies

Depends: flowWorkspace (>= 4.0.6), ggcyto (>= 1.16.0), R (>= 4.4)

Imports: shiny (>= 1.5.0), BiocManager (>= 1.30.10), flowCore (>= 2.0.1), dplyr (>= 1.0.0), ggplot2 (>= 3.3.2), rlang (>= 0.4.7), purrr, tibble, methods, openCyto, stringr

Suggests: knitr, rmarkdown, tidyverse, testthat, vdiffr