-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathapp.R
383 lines (279 loc) · 14.8 KB
/
app.R
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
#License
# © Copyright 2021 iGEM Concordia, Benjamin Clark
# This file is part of AstroBio Explorer.
# AstroBio Explorer is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or any later version.
# AstroBio is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
# You should have received a copy of the GNU General Public License
# along with AstroBio Explorer. If not, see <https://www.gnu.org/licenses/>.
library(shiny)
library(shinydashboard)
library(shinydashboardPlus)
library(shinyjqui)
library(gprofiler2)
library(shinyWidgets)
library(dplyr)
library(dbplyr)
library(shinyjs)
library(DT)
library(shinyjqui)
library(purrr)
#'building dynamic sidebar menu
#'
build_menu <- function(input_data){
tags_out <- list()
for(i in 1:length(names(input_data))){
study <- names(input_data)[i]
if(!is.null(input_data[[study]]$data$gp_result)){
tags_out[[i]] <- menuItem(text = study, icon = icon("server"),
menuSubItem(tabName = paste0(study,"_gexp_tab"), text = paste0("Gene Expression"), icon = icon("line-chart")),
menuItem(text = paste0("Gene Functional Groups"),
menuSubItem(tabName = paste0(study, "_manhat_tab"), text = "Manhattan Plot", icon = icon("line-chart")),
menuSubItem(tabName = paste0(study, "_biofab_tab"), text = "BioFabric Plot", icon = icon("line-chart")),
menuSubItem(tabName = paste0(study, "_results_tab"), text = "Gene Group Table", icon = icon("table")))
)
} else{
tags_out[[i]] <- menuItem(text = study, icon = icon("server"),
menuSubItem(tabName = paste0(study,"_gexp_tab"), text = paste0("Gene Expression"), icon = icon("line-chart"))
)
}
}
return(tags_out)
}
#' Creates an organism name suitable for gprofiler2 to use
make_org_name <- function(string){
prefix <- tolower(substr(strsplit(string)[[1]][1], 1, 1))
suffix <- tolower((strsplit(string)[[1]][2]))
return(paste0(prefix, suffix))
}
#' Formats selected genes into a string describing the groups size.
make_gene_readout_string <- function(gene_list){
out_vec <- c()
for(i in 1:length(gene_list)){
out_vec <- append(out_vec, paste0(names(gene_list[i]), ": ", length(gene_list[[i]]), " genes selected"))
}
return(paste(out_vec, collapse = " "))
}
#Converting a standard display name into a id
name2idPrefix <- function(name){
return(paste0(strsplit(name, split = ":")[[1]][1]))
}
#UI DEFINITION
ui <- dashboardPage(title = "AstroBio Explorer",
dashboardHeader(title = "AstroBio Explorer"),
dashboardSidebar(collapsed = F,
sidebarMenu(id = "import_tab", menuItem(text = "Import From Database", tabName = "import",
icon = icon("database"))),
useShinyjs(),
tags$br(),
tags$h5(class = "sidebar_head", "Study Views"),
sidebarMenu(id = "tabs_menu", menuItemOutput("menuItem")),
tags$h5(class = "sidebar_head", "Gene Selections"),
textOutput("gene_select"),
actionButton("gene_show", label = "Reset\\Show Genes on Plot"),
actionButton("reset", label = "Reset Selections"),
tags$br(),
downloadButton(outputId = "download", label = "Download Results")
),
dashboardBody(
tags$head(tags$link(rel = "stylesheet", type = "text/css", href = "styles.css")),
useShinyjs(),
tabItem(tabName = "import_tab", table_select_ui("import")),
uiOutput(outputId = "tabs")
)
)
#SERVER DEFINITION
server <- function(input, output) {
#SETTING UP DB CONNECTION AND USER SELECTION PROMPT TAB
input_data <- table_select_server("import")
#DEFINING COLOR PALETTE AND ALL POSSIBLE PLOT IDS
studies_palette <- reactiveVal()
observeEvent(input_data(), ignoreInit = T,{
colors <- list()
colors<- suppressWarnings(RColorBrewer::brewer.pal(n = length(input_data()), name = "Pastel2"))
names(colors) <- names(input_data())
studies_palette(colors)
#BUILDING SIDEBAR MENU
output$menuItem <- renderMenu({sidebarMenu(id = "studies_tab", .list = build_menu(input_data()))})
})
#rendering gene selection readout
output$gene_select <- renderText({
validate(need(input_data(), "No input data"))
n <- sel_genes()
make_gene_readout_string(n)
})
#datatable row selections
sel_row <- reactive({
#req(input_data()$data$gp_result)
gses <- sapply(input_data(), function(x){return(name2idPrefix(x$name))})
l_out <- lapply(input_data(), function(x){
return(input[[paste0(name2idPrefix(x$name), "_results-plot_rows_selected")]])
})
names(l_out) <- gses
l_out
})
#hiding elements when sidebar is collapsed
observe({
if(input$sidebarCollapsed){
shinyjs::hide(selector = "#data_sel", anim = T, animType = "slide", time = 0.1)
shinyjs::hide(selector = "#gene_select", anim = T, animType = "slide", time = 0.1)
shinyjs::hide(selector = ".sidebar.shiny-bound-input .btn", anim = T, animType = "slide", time = 0.1)
shinyjs::hide(selector = ".sidebar_head", anim = T, animType = "slide", time = 0.1)
}
else{
shinyjs::show(selector = "#data_sel", anim = T, animType = "slide", time = 0.1)
shinyjs::show(selector = "#gene_select", anim = T, animType = "slide", time = 0.1)
shinyjs::show(selector = ".sidebar.shiny-bound-input .btn", anim = T, animType = "slide", time = 0.1)
shinyjs::show(selector = ".sidebar_head", anim = T, animType = "slide", time = 0.1)
}
})
#_____________________________________
#GENERAL GENE SELECTION LOGIC
#Passing row selections to gene selection in gp table
sel_genes <- reactive({
genes_list <- list()
for(i in 1:length(sel_row())){
if(!is.null(input_data()[[names(sel_row())[i]]]$data$gp_result)){
gp_table <- input_data()[[names(sel_row())[i]]]$data$gp_result$result
genes_list[[names(sel_row())[i]]] <- as.numeric(unlist(strsplit(gp_table$intersection[sel_row()[[i]]], ",")))
}
else{
}
}
# #TODO: Add plot selections here
# for(i in 1:length(input_data)){
# manh_out <- module_outputs[[paste0(study, "_manhat")]]
# print(manh_out())
#
# }
genes_list
})
#resetting table rows on action button
observeEvent(input$reset, {
validate(need(input_data(), label = "Missing input data"))
for(i in 1:length(input_data())){
if(!is.null(input_data()[[names(input_data())[i]]]$data$gp_result)){
#clearing tables
proxy <- dataTableProxy(paste0(names(input_data())[i],"_results-plot"))
proxy %>% selectRows(NULL)
}
#redrawing manhat plots
# js$resetClick(paste0(names(input_data)[i]))
#
# # man_proxy <- plotlyProxy(outputId = paste0(names(input_data)[i], "_manhat-plot"))
# # plotlyProxyInvoke(man_proxy, method = "react", )
#
}
})
#redrawing graphs based on table selections
observeEvent(input$gene_show, ignoreInit = T,
{
validate(need(input_data(), label = "Missing input data"))
tab_type <- strsplit(input$tabs_menu, "_")[[1]][2]
study <- strsplit(input$tabs_menu, "_")[[1]][1]
switch(tab_type,
gexp = {module_outputs[[paste0(study,"_gexp")]] <- volcano_server(id = paste0(study,"_gexp"),
gprofiler = input_data()[[study]]$data$gp_result,
dataset = input_data()[[study]]$data$gene_expression,
subset = sel_genes()[[study]])
},
biofab = {module_outputs[[paste0(study,"_biofab")]] <- go_fabric_server(id = paste0(study,"_biofab"),
gprofiler = input_data()[[study]]$data$gp_result,
dataset = input_data()[[study]]$data$gene_expression,
subset = sel_row()[[study]])
}
)
})
#_______________________________________________
#BUILDING TABSETS
#all_tabs <- reactiveValues()
all_tabs <- list()
observeEvent(input_data(), ignoreInit = T,{
all_tabs <<- list()
output$tabs <- renderUI({
for(i in 1:length(input_data())){
study <- names(input_data())[i]
#'volcano plot definitions
all_tabs[[paste0(study,"_gexp_tab")]] <<- tabItem(tabName = paste0(study, "_gexp_tab"),
volcano_ui(id = paste0(study, "_gexp"),
color = studies_palette()[[study]],
study_name = study))
if(!is.null(input_data()[[study]]$data$gp_result)){
all_tabs[[paste0(study,"_manhat_tab")]] <<- tabItem(tabName = paste0(study, "_manhat_tab"),
manhat_ui(id = paste0(study, "_manhat"),
color = studies_palette()[[study]],
study_name = study))
all_tabs[[paste0(study,"_biofab_tab")]] <<- tabItem(tabName = paste0(study, "_biofab_tab"),
go_fabric_ui(id = paste0(study, "_biofab"),
color = studies_palette()[[study]],
study_name = study))
all_tabs[[paste0(study, "_results_tab")]] <<- tabItem(tabName = paste0(study, "_results_tab"),
dataTable_ui(id = paste0(study, "_results"),
color = studies_palette()[[study]],
study_name = study)
)
}
}
return(tags$div(class = "tab-content", all_tabs))
})
})
#HIDING TABSETS BASED ON CLICKED ON MENU ITEMS
observeEvent(input$studies_tab, ignoreNULL = F, ignoreInit = T,{
#browser()
if(!is.null(input$studies_tab) && input$studies_tab != "import"){
shinyjs::hide(selector = "#shiny-tab-import_tab", anim = T, animType = "slide")
shinyjs::show(selector = "#tabs")
} else{
shinyjs::show(selector = "#shiny-tab-import_tab")
shinyjs::hide(selector = "#tabs")
}
}
)
#MODULE DEFINITIONS
module_outputs <- reactiveValues()
observeEvent(input_data(), ignoreInit = T, {
validate(need(input_data(), label = "Missing input data"))
#resetting just in case
module_outputs <- reactiveValues()
for(i in 1:length(input_data())){
study <- names(input_data())[i]
module_outputs[[paste0(study,"_gexp")]] <- volcano_server(id = paste0(study,"_gexp"),
gprofiler = input_data()[[study]]$data$gp_result,
dataset = input_data()[[study]]$data$gene_expression
)
if(!is.null(input_data()[[study]]$data$gp_result)){
module_outputs[[paste0(study,"_manhat")]] <- manhat_server(id = paste0(study,"_manhat"),
gprofiler = input_data()[[study]]$data$gp_result
)
module_outputs[[paste0(study,"_biofab")]] <- go_fabric_server(id = paste0(study,"_biofab"),
gprofiler = input_data()[[study]]$data$gp_result,
dataset = input_data()[[study]]$data$gene_expression
)
module_outputs[[paste0(study, "_results")]] <- dataTable_server(id = paste0(study,"_results"),
gprofiler = input_data()[[study]]$data$gp_result,
dataset = input_data()[[study]]$data$gene_expression
)
}
}
})
#DOWNLOAD HANDLER
output$download <- downloadHandler(
filename = function() {
paste('AstroExplorer-', Sys.Date(), '.xlsx', sep='')
},
content = function(file){
#browser()
flat_list <- unlist(unlist(input_data(), recursive = F), recursive = F)
enrichment_data <- lapply(flat_list[grep(pattern = "gp_result", names(flat_list))], function(x) return(x$result))
expression_data <- flat_list[grep(pattern = "gene_expression", names(flat_list))]
out <- append(expression_data, enrichment_data)
return(openxlsx::write.xlsx(out, file))
}
)
}
# Run the application
shinyApp(ui = ui, server = server)