Guillaume Voisinne 2019 - 12 - 03
An interface for the analysis of flow cytometry data using R
To install flowR, you will first need to install R and Rstudio. If you use windows 10, you can get and Rstudio using the 'Software Center':
Now we need to create a R library folder with read/write permissions. To do that using R studio, type in the console :
dir.create("C:/Temp/R_library")
cat(".libPaths('C:/Temp/R_library')\n", file = paste0(getwd(), "/.Rprofile"))
Now close and restart Rstudio.
By default, all your packages will be saved in C:/Temp/R_library
.
Install package BiocManager
and devtools
using
install.packages(c('BiocManager', 'devtools'))
Make sure to set package repositories to their latest versions using:
options(repos = BiocManager::repositories())
The package is available from github. Install it using the devtools package:
devtools::install_github("VoisinneG/flowR")
To run the graphical user interface, type the following command in the R console:
library("flowR")
flowR::run_flowR()
The demo app (no installation required) can be accessed here
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