MACSQuantifyR
This is the development version of MACSQuantifyR; for the stable release version, see MACSQuantifyR.
Fast treatment of MACSQuantify FACS data
Bioconductor version: Development (3.21)
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("MACSQuantifyR")):
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("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_quick_introduction | HTML | R Script |
| MACSQuantifyR_simple_pipeline | HTML | R Script |
| MACSQuantifyR_step_by_step_analysis | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DataImport, DataRepresentation, FlowCytometry, GUI, Normalization, Preprocessing, Software |
| Version | 1.21.0 |
| In Bioconductor since | BioC 3.10 (R-3.6) (5 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 |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | MACSQuantifyR_1.21.0.tar.gz |
| Windows Binary (x86_64) | MACSQuantifyR_1.21.0.zip |
| macOS Binary (x86_64) | MACSQuantifyR_1.21.0.tgz |
| macOS Binary (arm64) | MACSQuantifyR_1.21.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/MACSQuantifyR |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/MACSQuantifyR |
| Bioc Package Browser | https://code.bioconductor.org/browse/MACSQuantifyR/ |
| Package Short Url | https://bioconductor.org/packages/MACSQuantifyR/ |
| Package Downloads Report | Download Stats |