browser_allsamp_ui = function(id, all_exp, browser_options,
metadata, label = "Browser_allsamp") {
ns <- NS(id)
genomes <- unique(all_exp$organism)
experiments <- all_exp$name
normalizations <- normalizations("metabrowser")
tabPanel(
title = "MetaBrowser", icon = icon("chart-line"),
sidebarLayout(
jqui_resizable(sidebarPanel(
tabsetPanel(
tabPanel("Browser",
organism_input_select(c("ALL", genomes), ns),
experiment_input_select(experiments, ns, browser_options,
"default_experiment_meta"),
gene_input_select(ns, FALSE, browser_options),
metadata_input_select(ns, metadata = metadata),
sliderInput(ns("clusters"), "K-means clusters", min = 1, max = 7,
value = 5),
helper_button_redirect_call()
),
tabPanel("Settings",
normalization_input_select(ns, choices = normalizations,
help_link = "mbrowser"),
heatmap_color_select(ns),
sliderInput(ns("color_mult"), "Color scale zoom", min = 1, max = 10,
value = 3),
gene_input_select(ns, label = "Sort by other gene", id = "other_gene"),
checkboxInput(ns("summary_track"), label = "Summary top track", value = FALSE),
checkboxInput(ns("frame"), label = "Split by frame", value = FALSE),
frame_type_select(ns, "summary_track_type", "Select summary display type"),
region_view_select(ns, "region_type", "Select region to view"),
tx_input_select(ns, FALSE),
numericInput(ns("min_count"), "Minimum counts", min = 0, value = 100),
sliderInput(ns("kmer"), "K-mer length", min = 1, max = 20,
value = as.numeric(browser_options["default_kmer"]))
)
),
actionButton(ns("go"), "Plot", icon = icon("rocket")), width=3
)),
mainPanel(
tabsetPanel(type = "tabs",
tabPanel("Heatmap", fluidRow(
splitLayout(cellWidths = c("10%", "90%"),
jqui_resizable(plotlyOutput(outputId = ns("d"), height = "700px", width = "130px")) %>%
shinycssloaders::withSpinner(color="#0dc5c1"),
jqui_resizable(plotOutput(outputId = ns("c"), height = "700px")) %>%
shinycssloaders::withSpinner(color="#0dc5c1"),
width=9)
),
plotlyOutput(outputId = ns("e"))),
tabPanel("Statistics", DTOutput(outputId = ns("stats")) %>% shinycssloaders::withSpinner(color="#0dc5c1"))
))
)
)
}
browser_allsamp_server <- function(id, all_experiments, df, experiments,
metadata) {
moduleServer(
id,
function(input, output, session, all_exp = all_experiments) {
rv <- reactiveValues(lstval=isolate(df())@txdb,
curval=isolate(df())@txdb,
genome = "ALL",
exp = name(isolate(df())),
changed=FALSE)
uses_libs <- FALSE
org <- reactive("ALL")
gene_name_list <- reactive(get_gene_name_categories_collection(df())) %>%
bindCache(rv$curval) %>%
bindEvent(rv$changed, ignoreNULL = TRUE)
study_and_gene_observers(input, output, session)
# Main plot controller, this code is only run if 'plot' is pressed
controller <- eventReactive(input$go,
click_plot_browser_allsamp_controller(input, df, gene_name_list),
ignoreInit = TRUE,
ignoreNULL = FALSE)
# Main plot, this code is only run if 'plot' is pressed
table <- reactive(compute_collection_table_shiny(controller,
metadata = metadata)) %>%
bindCache(controller()$table_hash) %>%
bindEvent(controller()$table_hash,
ignoreInit = FALSE,
ignoreNULL = TRUE)
plot_object <- reactive(get_meta_browser_plot(table()$table,
isolate(input$heatmap_color),
isolate(input$clusters),
isolate(input$color_mult))) %>%
bindEvent(table(),
ignoreInit = FALSE,
ignoreNULL = TRUE)
output$c <- renderPlot(get_meta_browser_plot_full(table()$table,
plot_object(), controller()$id,
controller()$dff, controller()$summary_track
)) %>%
bindCache(controller()$table_hash, input$heatmap_color,
isolate(input$color_mult)) %>%
bindEvent(plot_object(),
ignoreInit = FALSE,
ignoreNULL = TRUE)
meta_and_clusters <- reactive(
allsamples_metadata_clustering(table()$metadata_field, plot_object()
)) %>%
bindCache(controller()$table_hash) %>%
bindEvent(plot_object(),
ignoreInit = FALSE,
ignoreNULL = TRUE)
output$d <- renderPlotly(allsamples_sidebar(meta_and_clusters()$meta)) %>%
bindCache(controller()$table_hash) %>%
bindEvent(meta_and_clusters(),
ignoreInit = FALSE,
ignoreNULL = TRUE)
output$e <- renderPlotly(allsamples_enrich_bar_plot(meta_and_clusters()$enrich_dt)) %>%
bindCache(controller()$table_hash) %>%
bindEvent(meta_and_clusters(),
ignoreInit = FALSE,
ignoreNULL = TRUE)
output$stats <- renderDT(allsamples_meta_stats_shiny(meta_and_clusters()$enrich_dt)) %>%
bindEvent(meta_and_clusters(),
ignoreInit = FALSE,
ignoreNULL = TRUE)
}
)
}
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