Nothing
ui.modules_pcawg_dist <- function(id) {
ns <- NS(id)
fluidPage(
fluidRow(
column(
3,
wellPanel(
shinyWidgets::prettyRadioButtons(
inputId = ns("profile"), label = "Select a genomic profile:",
choiceValues = c(
"mRNA", "miRNA_TMM", "miRNA_UQ",
"promoter_raw", "promoter_relative", "promoter_outlier",
"fusion", "APOBEC"
),
choiceNames = c(
"mRNA Expression", "miRNA Expression (TMM)",
"miRNA Expression (UQ)",
"Raw Promoter Activity",
"Relative Promoter Activity",
"Promoter Outlier",
"Gene Fusion",
"APOBEC mutagenesis"
),
animation = "jelly"
),
selectizeInput(
inputId = ns("Pancan_search"),
label = "Input a gene or formula (as signature)",
choices = NULL,
width = "100%",
options = list(
create = TRUE,
maxOptions = 5,
placeholder = "Enter a gene symbol, e.g. TP53",
plugins = list("restore_on_backspace")
)
),
shinyBS::bsPopover(ns("Pancan_search"),
title = "Tips",
content = "Enter a gene symbol to show its pan-can distribution, e.g. TP53",
placement = "right", options = list(container = "body")
),
materialSwitch(ns("pdist_mode"), "Show violin plot", inline = FALSE),
materialSwitch(ns("pdist_show_p_value"), "Show P value", inline = TRUE),
materialSwitch(ns("pdist_show_p_label"), "Show P label", inline = TRUE),
colourpicker::colourInput(inputId = ns("tumor_col"), "Tumor sample color", "#DF2020"),
colourpicker::colourInput(inputId = ns("normal_col"), "Normal sample color", "#DDDF21"),
selectInput(inputId = ns("theme"), label = "Select theme for plot", choices = names(themes_list), selected = "cowplot"),
tags$hr(style = "border:none; border-top:2px solid #5E81AC;"),
shinyWidgets::actionBttn(
inputId = ns("search_bttn"),
label = "Go!",
style = "gradient",
icon = icon("search"),
color = "primary",
block = TRUE,
size = "sm"
)
),
wellPanel(
numericInput(inputId = ns("height"), label = "Height", value = 5),
numericInput(inputId = ns("width"), label = "Width", value = 12),
prettyRadioButtons(
inputId = ns("device"),
label = "Choose plot format",
choices = c("pdf", "png"),
selected = "pdf",
inline = TRUE,
icon = icon("check"),
animation = "jelly",
fill = TRUE
),
downloadBttn(
outputId = ns("download"),
style = "gradient",
color = "default",
block = TRUE,
size = "sm"
)
)
),
column(
9,
plotOutput(ns("gene_pancan_dist"), height = "500px"),
hr(),
h5("NOTEs:"),
p("1. The data query may take some time based on your network. Wait until a plot shows"),
p("2. You have to turn on both 'Show P value' and 'Show P label' to show significant labels"),
p("3. If a void plot shows, please check your input"),
p("4. ", tags$a(href = "https://xenabrowser.net/datapages/?cohort=PCAWG%20(specimen%20centric)&removeHub=https%3A%2F%2Fxena.treehouse.gi.ucsc.edu%3A443&removeHub=https%3A%2F%2Fatacseq.xenahubs.net", "Genomic profile data source")),
tags$br(),
DT::DTOutput(outputId = ns("tbl")),
shinyjs::hidden(
wellPanel(
id = ns("save_csv"),
downloadButton(ns("downloadTable"), "Save as csv")
)
)
)
)
)
}
server.modules_pcawg_dist <- function(input, output, session) {
ns <- session$ns
profile_choices <- reactive({
switch(input$profile,
mRNA = list(all = pancan_identifiers$gene, default = "TP53"),
miRNA_TMM = list(all = pancan_identifiers$miRNA, default = "hsa-miR-769-3p"),
miRNA_UQ = list(all = pancan_identifiers$miRNA, default = "hsa-miR-769-3p"),
promoter_raw = list(all = names(load_data("pcawg_promoter_id")), default = "1:169863093:SCYL3"),
promoter_relative = list(all = names(load_data("pcawg_promoter_id")), default = "1:169863093:SCYL3"),
promoter_outlier = list(all = names(load_data("pcawg_promoter_id")), default = "1:169863093:SCYL3"),
fusion = list(all = pancan_identifiers$gene, default = "DPM1"),
APOBEC = list(all = c(
"tCa_MutLoad_MinEstimate", "APOBECtCa_enrich",
"A3A_or_A3B", "APOBEC_tCa_enrich_quartile", "APOBECrtCa_enrich",
"APOBECytCa_enrich", "APOBECytCa_enrich-APOBECrtCa_enrich",
"BH_Fisher_p-value_tCa", "ntca+tgan", "rtCa_to_G+rtCa_to_T",
"rtca+tgay", "tCa_to_G+tCa_to_T",
"ytCa_rtCa_BH_Fisher_p-value", "ytCa_rtCa_Fisher_p-value", "ytCa_to_G+ytCa_to_T",
"ytca+tgar"
), default = "APOBECtCa_enrich"),
list(all = "NONE", default = "NONE")
)
})
observe({
updateSelectizeInput(
session,
"Pancan_search",
choices = profile_choices()$all,
selected = profile_choices()$default,
server = TRUE
)
})
colors <- reactive({
c(input$tumor_col, input$normal_col)
})
plot_theme <- reactive({
themes_list[[input$theme]]
})
# Show waiter for plot
w <- waiter::Waiter$new(id = ns("gene_pancan_dist"), html = waiter::spin_hexdots(), color = "black")
plot_func <- eventReactive(input$search_bttn, {
if (nchar(input$Pancan_search) >= 1) {
p <- vis_pcawg_dist(
Gene = input$Pancan_search,
data_type = input$profile,
Mode = ifelse(input$pdist_mode, "Violinplot", "Boxplot"),
Show.P.value = input$pdist_show_p_value,
Show.P.label = input$pdist_show_p_label,
values = colors(),
) + plot_theme() + ggplot2::theme(
axis.text.x = element_text(angle = 45, hjust = .5, vjust = .5),
axis.text.y = element_text(size = 15)
)
}
return(p)
})
output$colorvalues <- reactive({
c(input$tumor_col, input$normal_col)
})
output$gene_pancan_dist <- renderPlot({
w$show() # Waiter add-ins
plot_func()
})
output$downloadTable <- downloadHandler(
filename = function() {
paste0(input$Pancan_search, "_", input$profile, "_pcawg_dist.csv")
},
content = function(file) {
write.csv(plot_func()$data, file, row.names = FALSE)
}
)
output$download <- downloadHandler(
filename = function() {
paste0(input$Pancan_search, "_", input$profile, "_pcawg_dist.", input$device)
},
content = function(file) {
p <- plot_func()
if (input$device == "pdf") {
pdf(file, width = input$width, height = input$height)
print(p)
dev.off()
} else {
png(file, width = input$width, height = input$height, res = 600, units = "in")
print(p)
dev.off()
}
}
)
observeEvent(input$search_bttn, {
if (nchar(input$Pancan_search) >= 1) {
shinyjs::show(id = "save_csv")
} else {
shinyjs::hide(id = "save_csv")
}
})
output$tbl <- renderDT(
plot_func()$data,
options = list(lengthChange = FALSE)
)
}
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