##----------------------------------------------------------------------------##
##
##----------------------------------------------------------------------------##
server <- function(input, output, session) {
##--------------------------------------------------------------------------##
## Load info texts.
##--------------------------------------------------------------------------##
source(
system.file(
paste0("shiny/v1.0/overview/info.R"),
package = "cerebroApp"
),
local = TRUE
)
source(
system.file(
paste0("shiny/v1.0/samples/info.R"),
package = "cerebroApp"
),
local = TRUE
)
source(
system.file(
paste0("shiny/v1.0/clusters/info.R"),
package = "cerebroApp"
),
local = TRUE
)
source(
system.file(
paste0("shiny/v1.0/most_expressed_genes/info.R"),
package = "cerebroApp"
),
local = TRUE
)
source(
system.file(
paste0("shiny/v1.0/marker_genes/info.R"),
package = "cerebroApp"
),
local = TRUE
)
source(
system.file(
paste0("shiny/v1.0/enriched_pathways/info.R"),
package = "cerebroApp"
),
local = TRUE
)
source(
system.file(
paste0("shiny/v1.0/gene_expression/info.R"),
package = "cerebroApp"
),
local = TRUE
)
##--------------------------------------------------------------------------##
## Color management.
##--------------------------------------------------------------------------##
# Dutch palette from flatuicolors.com
colors_dutch <- c(
"#FFC312","#C4E538","#12CBC4","#FDA7DF","#ED4C67",
"#F79F1F","#A3CB38","#1289A7","#D980FA","#B53471",
"#EE5A24","#009432","#0652DD","#9980FA","#833471",
"#EA2027","#006266","#1B1464","#5758BB","#6F1E51"
)
# Spanish palette from flatuicolors.com
colors_spanish <- c(
"#40407a","#706fd3","#f7f1e3","#34ace0","#33d9b2",
"#2c2c54","#474787","#aaa69d","#227093","#218c74",
"#ff5252","#ff793f","#d1ccc0","#ffb142","#ffda79",
"#b33939","#cd6133","#84817a","#cc8e35","#ccae62"
)
colors <- c(colors_dutch, colors_spanish)
cell_cycle_colorset <- setNames(
c("#45aaf2", "#f1c40f", "#e74c3c", "#7f8c8d"),
c("G1", "S", "G2M", "-")
)
##--------------------------------------------------------------------------##
## Central parameters.
##--------------------------------------------------------------------------##
scatter_plot_dot_size <- list(
min = 1,
max = 20,
step = 1,
default = 5
)
scatter_plot_dot_opacity <- list(
min = 0.1,
max = 1.0,
step = 0.1,
default = 1.0
)
scatter_plot_percentage_cells_to_show <- list(
min = 10,
max = 100,
step = 10,
default = 100
)
##--------------------------------------------------------------------------##
## Sidebar menu.
##--------------------------------------------------------------------------##
output[["sidebar_menu"]] <- renderMenu({
sidebarMenu(id = "sidebar",
menuItem(
"Load data", tabName = "loadData",
icon = icon("spinner"), selected = TRUE
),
menuItem(
"Overview", tabName = "overview",
icon = icon("binoculars")
),
menuItem(
"Samples", tabName = "samples",
icon = icon("star")
),
menuItem(
"Clusters", tabName = "clusters",
icon = icon("braille")
),
menuItem(
"Most expressed genes", tabName = "mostExpressedGenes",
icon = icon("bullhorn")
),
menuItem(
"Marker genes", tabName = "markerGenes",
icon = icon("magnet")
),
menuItem(
"Enriched pathways", tabName = "enrichedPathways",
icon = icon("sitemap")
),
menuItem(
"Gene expression", tabName = "geneExpression",
icon = icon("signal")
),
menuItem(
"Gene set expression", tabName = "geneSetExpression",
icon = icon("list")
),
menuItem(
"Gene ID conversion", tabName = "geneIdConversion",
icon = icon("barcode")
),
menuItem(
"Analysis info", tabName = "info",
icon = icon("info")
),
menuItem(
"About", tabName = "about",
icon = icon("at")
)
)
})
##--------------------------------------------------------------------------##
## Sample data.
##--------------------------------------------------------------------------##
sample_data <- reactive({
if ( is.null(input$RDS_file) || is.na(input$RDS_file) ) {
sample_data <- readRDS(
system.file("extdata/v1.0/example.rds", package = "cerebroApp")
)
} else {
req(input$RDS_file)
sample_data <- readRDS(input$RDS_file$datapath)
}
sample_data$sample_names <- levels(sample_data$cells$sample)
sample_data$cluster_names <- levels(sample_data$cells$cluster)
sample_data
})
##--------------------------------------------------------------------------##
## Tabs.
##--------------------------------------------------------------------------##
source(system.file("shiny/v1.0/load_data/server.R", package = "cerebroApp"), local = TRUE)
source(system.file("shiny/v1.0/overview/server.R", package = "cerebroApp"), local = TRUE)
source(system.file("shiny/v1.0/samples/server.R", package = "cerebroApp"), local = TRUE)
source(system.file("shiny/v1.0/clusters/server.R", package = "cerebroApp"), local = TRUE)
source(system.file("shiny/v1.0/most_expressed_genes/server.R", package = "cerebroApp"), local = TRUE)
source(system.file("shiny/v1.0/marker_genes/server.R", package = "cerebroApp"), local = TRUE)
source(system.file("shiny/v1.0/enriched_pathways/server.R", package = "cerebroApp"), local = TRUE)
source(system.file("shiny/v1.0/gene_expression/server.R", package = "cerebroApp"), local = TRUE)
source(system.file("shiny/v1.0/gene_set_expression/server.R", package = "cerebroApp"), local = TRUE)
source(system.file("shiny/v1.0/gene_id_conversion/server.R", package = "cerebroApp"), local = TRUE)
source(system.file("shiny/v1.0/analysis_info/server.R", package = "cerebroApp"), local = TRUE)
source(system.file("shiny/v1.0/about/server.R", package = "cerebroApp"), local = TRUE)
}
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