Nothing
#--------------------------------------------------------------------
# EA
#--------------------------------------------------------------------
#=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=--=
# Handling visibility
#=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=--=
observeEvent(input$tcgaEaInputRb, {
if(input$tcgaEaInputRb == "text") {
shinyjs::show("eaGenesTextArea")
shinyjs::hide("eagenes")
shinyjs::hide("eaGenesFiles")
} else if(input$tcgaEaInputRb == "Selection") {
shinyjs::hide("eaGenesTextArea")
shinyjs::show("eagenes")
shinyjs::hide("eaGenesFiles")
} else {
shinyjs::hide("eaGenesTextArea")
shinyjs::hide("eagenes")
shinyjs::show("eaGenesFiles")
}
})
#=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=--=
# File selection
#=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=--=
observe({
shinyFileChoose(input,
'eaGenesFiles',
roots=get.volumes(input$workingDir),
session=session,
restrictions=system.file(package='base'))
})
#=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=--=
# DATA input
#=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=--=
eaGenesByFile <- function(){
inFile <- input$eaGenesFiles
if (is.null(inFile)) return(NULL)
file <- as.character(parseFilePaths(get.volumes(isolate({input$workingDir})), inFile)$datapath)
if(tools::file_ext(file)=="csv"){
df <- as.data.frame(read_csv(file));
rownames(df) <- df[,1]
df[,1] <- NULL
} else if(tools::file_ext(file)=="rda"){
df <- get(load(file))
} else if(tools::file_ext(file)=="txt"){
df <- read.table(file,header = T)
} else {
createAlert(session, "eamessage", "eaAlert", title = "Data input error", style = "danger",
content = paste0("Sorry, but I'm expecting a csv, rda or txt file, but I got a: ",
tools::file_ext(file)), append = FALSE)
return(NULL)
}
genes <- NULL
# if a data frame return the column with gene symbols
if(class(df)==class(data.frame())){
if("status" %in% colnames(df)) df <- subset(df,df$status != "Insignificant")
if("mRNA" %in% colnames(df)){
aux <- strsplit(df$mRNA,"\\|")
genes <- unlist(lapply(aux,function(x) x[1]))
} else if("Gene_symbol" %in% colnames(df)){
genes <- df$Gene_symbol
} else if("external_gene_name" %in% colnames(df)){
genes <- df$external_gene_name
} else {
createAlert(session, "eamessage", "eaAlert", title = "Data input error", style = "danger",
content = paste0("Sorry, but I'm expecting a column called Gene_symbol "), append = FALSE)
return(NULL)
}
}
createAlert(session, "eamessage", "eaAlert", title = "Successful data import", style = "info",
content = paste0("Read file:", file), append = FALSE)
return(genes)
}
#=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=--=
# UPDATING FIELDS AFTER DATA INPUT
#=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=--=
observe({
updateSelectizeInput(session,
'eagenes',
choices = unique(rownames(TCGAbiolinks:::EAGenes)),
server = TRUE)
})
#=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=--=
# PLOT
#=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=--=
observeEvent(input$eaplot , {
updateCollapse(session, "collapseEA", open = "EA plots")
output$eaPlot <- renderUI({
plotOutput("ea.plotting", width = paste0(isolate({input$eawidth}), "%"), height = isolate({input$eaheight}))
})})
ea.plot <- reactive({
input$eaplot
textarea <- isolate({input$eaGenesTextArea})
if(isolate({input$tcgaEaInputRb}) == "text" & !is.null(textarea)){
genes <- toupper(parse.textarea.input(textarea))
not.found <- genes[!(genes %in% TCGAbiolinks:::EAGenes$Gene)]
l.not.found <- length(not.found)
if(l.not.found > 0){
if(l.not.found > 10) not.found <- c(sort(not.found[1:10]),"...")
createAlert(session, "eamessage", "eaAlert", title = "Data input error", style = "danger",
content = paste0("Sorry, I cant't find ",l.not.found, " genes: ", paste(not.found,collapse = ", ")), append = FALSE)
genes <- genes[genes %in% TCGAbiolinks:::EAGenes$Gene]
}
} else if(isolate({input$tcgaEaInputRb}) == "Selection"){
genes <- isolate({input$eagenes})
} else{
genes <- eaGenesByFile()
not.found <- genes[!(genes %in% TCGAbiolinks:::EAGenes$Gene)]
l.not.found <- length(not.found)
if(l.not.found > 0){
if(l.not.found > 10) not.found <- c(sort(not.found[1:10]),"...")
createAlert(session, "eamessage", "eaAlert", title = "Data input error", style = "danger",
content = paste0("Sorry, I cant't find ",l.not.found, " genes: ", paste(not.found,collapse = ", ")), append = FALSE)
genes <- genes[genes %in% TCGAbiolinks:::EAGenes$Gene]
}
}
xlim <- NULL
if(isolate({input$eaxlim}) > 0) xlim <- c(0,isolate({input$eaxlim}))
withProgress(message = 'Creating plot',
detail = 'This may take a while...', value = 0, {
ansEA <- TCGAanalyze_EAcomplete(TFname="DEA genes", genes)
ResMF <- NULL
ResBP <- NULL
ResCC <- NULL
ResPat <- NULL
if(length(grep("NA",ansEA$ResBP)) != ncol(ansEA$ResBP) & isolate({input$eaPlotBPCB})) ResBP <- ansEA$ResBP
if(length(grep("NA",ansEA$ResCC)) != ncol(ansEA$ResCC) & isolate({input$eaPlotCCCB})) ResCC <- ansEA$ResCC
if(length(grep("NA",ansEA$ResMF)) != ncol(ansEA$ResMF) & isolate({input$eaPlotMFCB})) ResMF <- ansEA$ResMF
if(length(grep("NA",ansEA$ResPat)) != ncol(ansEA$ResPat) & isolate({input$eaPlotPatCB})) ResPat <- ansEA$ResPat
plots <- table(c(is.null(ResMF),is.null(ResBP),is.null(ResCC),is.null(ResPat)))
if(!"FALSE" %in% names(plots) > 0){
createAlert(session, "eamessage", "eaAlert", title = "Data input error", style = "danger",
content = paste0("Sorry, no relevant results were found"), append = FALSE)
}
nbPlot <- plots["FALSE"]
if(nbPlot == 1) mfrow = c(1,1)
if(nbPlot == 2) mfrow = c(2,1)
if(nbPlot > 2) mfrow = c(2,2)
if(is.na(nbPlot)) return (NULL)
# Enrichment Analysis EA (TCGAVisualize)
# Gene Ontology (GO) and Pathway enrichment barPlot
p <- tryCatch({
TCGAvisualize_EAbarplot(tf = rownames(ansEA$ResBP),
GOBPTab = ResBP,
GOCCTab = ResCC,
GOMFTab = ResMF,
PathTab = ResPat,
color = c(isolate({input$colBP}),
isolate({input$colCC}),
isolate({input$colMF}),
isolate({input$colPat})),
nRGTab = genes,
text.size = isolate({input$eaSizeText}),
xlim = xlim,
mfrow = mfrow,
nBar = isolate({input$nBar}),
filename = NULL)
p <- recordPlot(0)
return(p)
}, error = function(e) {
createAlert(session, "eamessage", "eaAlert", title = "No significant results", style = "danger",
content = paste0("The list of genes did not produce significant results"), append = FALSE)
return(NULL)
})
})
return(p)
})
observeEvent(input$eaplot , {
output$ea.plotting <- renderPlot({
ea.plot()
})
})
output$saveeapicture <- downloadHandler(
filename = function(){input$eaPlot.filename},
content = function(file) {
if(tools::file_ext(file) == "png") {
grDevices::png(file, width = 10, height = 10,
res = 300, units = "in")
} else if(tools::file_ext(file) == "pdf") {
grDevices::pdf(file, width = 10, height = 10)
} else if(tools::file_ext(file) == "svg") {
grDevices::svg(file, width = 10, height = 10)
}
print(ea.plot())
dev.off()
})
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