systemPipeShiny(SPS) a Shiny-based R/Bioconductor package that extends the widely used
systemPipeR workflow environment and data visualization with a versatile graphical user interface.
There is an online demo of systempipeShiny. This application is hosted by a small server. Do not use it for production activities. Heavy tasks will crash it and disconnect you from it.
To install the package, please use the
if (!requireNamespace("BiocManager", quietly=TRUE)) install.packages("BiocManager") BiocManager::install("systemPipeShiny", build_vignettes=TRUE, dependencies=TRUE)
To obtain the most recent updates immediately, one can install it directly from GitHub as follow:
if (!requireNamespace("BiocManager", quietly=TRUE)) install.packages("BiocManager") BiocManager::install("systemPipeR/systemPipeShiny", build_vignettes=TRUE, dependencies=TRUE)
If you are on Linux, you may also need the following libraries. Different distributions may have different commands, but the following commands are examples for Ubuntu:
sudo apt-get install libcurl4-openssl-dev sudo apt-get install libv8-dev sudo apt-get install libxm12-dev sudo apt-get install libssl-dev
This is a basic example which shows how to use
## Imports the library library(systemPipeShiny) ## Creates the project directory spsInit()
By default, a project folder is created and named as
This project folder provides all the necessary files to launch the application. If you are using Rstudio,
global.R file will be opened automatically and this is the only file you may need to make custom changes if there is any.
## Launching the interface shiny::runApp()
For additional details regarding the functions of
systempipeShiny, please consult
the vignette available here.
Please use https://github.com/systemPipeR/systemPipeShiny/issues for reporting bugs, issues or for suggesting new features to be implemented.
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