Bioconductor Developer Survey 2026 Now Open!

MACSQuantifyR

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10

Fast treatment of MACSQuantify FACS data


Bioconductor version: Release (3.23)

Automatically process the metadata of MACSQuantify FACS sorter. It runs multiple modules: i) imports of raw file and graphical selection of duplicates in well plate, ii) computes statistics on data and iii) can compute combination index.

Author: Raphaël Bonnet [aut, cre], Marielle Nebout [dtc],Giulia Biondani [dtc], Jean-François Peyron[aut,ths], Inserm [fnd]

Maintainer: Raphaël Bonnet <raphael.bonnet at univ-cotedazur.fr>

Citation (from within R, enter citation("MACSQuantifyR")):

Raphaël Bonnet, Jean-François Peyron. MACSQuantifyR: Fast treatment of MACSQuantify FACS data. doi:10.18129/B9.bioc.MACSQuantifyR, R package version 1.26.0, https://bioconductor.org/packages/MACSQuantifyR.

Generated from the package metadata; it may differ from the package's own citation.

Installation

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

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

BiocManager::install("MACSQuantifyR")

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("MACSQuantifyR")
MACSQuantifyR_step_by_step_analysis HTML R Script
MACSQuantifyR_simple_pipeline HTML R Script
MACSQuantifyR_quick_introduction HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews DataImport, DataRepresentation, FlowCytometry, GUI, Normalization, Preprocessing, Software
Version1.26.0
In Bioconductor sinceBioC 3.10 (R-3.6) (7 years)
License Artistic-2.0
Depends
Imports readxl, graphics, tools, utils, grDevices, ggplot2, ggrepel, methods, stats, latticeExtra, lattice, rmarkdown, png, grid, gridExtra, prettydoc, rvest, xml2
System Requirements
URL
See More
Suggests knitr, testthat, R.utils, spelling
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package MACSQuantifyR_1.26.0.tar.gz
Windows Binary (x86_64) MACSQuantifyR_1.26.0.zip
macOS Binary (big-sur-x86_64) MACSQuantifyR_1.26.0.tgz
macOS Binary (sonoma-arm64) MACSQuantifyR_1.26.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/MACSQuantifyR
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/MACSQuantifyR
Package Short Url https://bioconductor.org/packages/MACSQuantifyR/
Package Downloads ReportDownload Stats