Ultra High Resolution (UHR)-IonStar is an MS1-based quantitative method for label-free proteomics experiments, devised to address issues related with quantitative precision, missing data, and false-positive discovery of protein changes in large-cohort analysis.
Ultra High Resolution (UHR)-IonStar is an MS1-based quantitative method for label-free proteomics experiments, devised to address issues related with quantitative precision, missing data, and false-positive discovery of protein changes in large-cohort analysis.
UHR-IonStar app is a R shiny-based interactive application designed for processing, visualization and analysis of quantitative proteomics data generated by UHR-IonStar.
R (Version 4.0.5 or above) is required for Windows 10 or MacOS.\ Due to serveral R packgages from R Bioconductor and a package from GitHub cannot be automatically installed with the same time of UHR-IonStar R package installation, please install the following packages in advance:
install.packages(c('devtools','shiny','shinydashboard'))
library('devtools')
devtools::install_github("vqv/ggbiplot")
if (!requireNamespace("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install()
BiocManager::install(c("MSGFplus","limma","TCGAbiolinks","clusterProfiler", "Biobase", "DO.db",
"AnnotationHub","mzR","MSnbase","xcms","CAMERA"))
install.packages("patRoon", repos = "https://rickhelmus.github.io/patRoonDeps/", type = "binary")
Then, you can install UHR-IonStar with the following line:
devtools::install_github("JunQu-Lab/UHRIonStarApp")
If no error pops up, the UHR-IonStar web app could be started with the following codes:
library(UHR.IonStar)
UHR.IonStar::UHRIonStarShiny()
User can download the manual either at the mainpage of UHR-IonStar application or at the github directory UHRIonStarApp/inst/shiny/UHRIonStar.
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