shiny_app/ui.R
In alb202/PACER:
#ui.R
library(shiny)
library(shinyFiles)
library(shinyjs)
library(biomaRt)
ui <- fluidPage(
shinyjs::useShinyjs(),
tags$head(
tags$link(rel = "stylesheet", type = "text/css", href = "lumen.css"),
tags$style(HTML(".modal-lg {width:1100px;padding:0;}"))),
fluidRow(h6(' PACER 2.0')),
#titlePanel("PACER 2.0"),
sidebarLayout(
sidebarPanel(
tabsetPanel(id="sidebar", type = "tabs",
tabPanel(title = "Align", value = "align", icon = icon("folder-open", lib="glyphicon"),
wellPanel(tags$hr(style = "margin:0;padding:0;"),
fluidRow(shinyFiles::shinyDirButton(id = "find_input_dir",
label = "Select folder ...",
title = "Select folder ...")),
fluidRow(h5(textOutput("input_dir"))),
fluidRow(selectInput(inputId = "input_file",
label = NULL,
choices = NULL,
selected = NULL,
selectize = FALSE,
multiple = FALSE,
size = 5)),
fluidRow(
disabled(actionButton(inputId = "use_dataset",
icon = icon("play",
lib = "glyphicon"),
label="Use this dataset ..."))),
fluidRow(tags$hr(style = "margin:1;padding:0;")),
fluidRow(
actionButton(inputId = "select_genome",
#icon = icon("check", lib = "glyphicon"),
label="Select genome")),
fluidRow(h5(textOutput("selected_genome"), style = "margin:1;padding:0;")),
fluidRow(tags$hr(style = "margin:1;padding:0;")))),
tabPanel(title = "Options", value = "options", icon = icon("cog", lib="glyphicon"),
wellPanel(
fluidRow(
actionButton(inputId = "view_adapters",
label="View Adapters")
), tags$br(), tags$br(),
fluidRow(
sliderInput(inputId = "get_range",
label = "Range of read lengths",
min = 10,
max = 30,
value = c(12, 30),
step = 1,
ticks = TRUE,
width = "90%")
), tags$br(), tags$br(),
fluidRow(
numericInput(inputId = "read_cutoff",
label = "Cutoff for over-represented reads",
value = .001,
max = 1,
width = "70%")),tags$br(), tags$br(),
fluidRow(
numericInput(inputId = "cores",
label = "Processing cores",
value = 2,
min = 1,
max = 64,
step = 1,
width = "50%"))
)),
tabPanel(title = "View", value = "view_results", icon = icon("folder-open", lib="glyphicon"),
wellPanel(
fluidRow(shinyFiles::shinyDirButton(id = "find_output_dir",
label = "Select folder ...",
title = "Select folder ...")),
fluidRow(h5(textOutput("output_dir"))),
fluidRow(selectInput(inputId = "processed_file",
label = NULL,
choices = NULL,
selected = NULL,
selectize = FALSE,
multiple = FALSE,
size = 5)),
fluidRow(
disabled(actionButton(inputId = "view_dataset",
icon = icon("check", lib = "glyphicon"),
label="View dataset")))
)
),
tabPanel(title = "Help", value = "help", icon = icon("help", lib="glyphicon"),
wellPanel(fluidRow(
actionButton("make_plots", "Make plots"),
actionButton("show_plots", "Show plots"),
imageOutput(outputId="test_plot",
width = 'auto',
height = 'auto'
)
)
))
)),
mainPanel(
tabsetPanel(id="main", type = "tabs",
tabPanel(title = "Statistics", value = "stats", icon = icon("folder-open", lib="glyphicon"),
wellPanel(
fluidRow(h5(HTML("Trimming log"))),
fluidRow(uiOutput('trim_cmd')),
fluidRow(uiOutput("trim_log"))
),
wellPanel(
fluidRow(h5(HTML("Alignment log"))),
fluidRow(uiOutput('align_cmd')),
fluidRow(uiOutput('align_log'))
)
)
# ,
# tabPanel(title = "Dataset1", value = "dataset1", icon = icon("folder-open", lib="glyphicon"),
# tabsetPanel(id="datasets", type = "tabs",
# tabPanel(title = "5' Plots", value = "five_prime", icon = icon("folder-open", lib="glyphicon"),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - sense and antisense reads"))),
# fluidRow(plotOutput("five_prime_plot__two_mm__both"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - sense reads"))),
# fluidRow(plotOutput("five_prime_plot__two_mm__sense"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads"))),
# fluidRow(plotOutput("five_prime_plot__two_mm__antisense"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - sense and antisense reads - 5' assigned to 22nt"))),
# fluidRow(plotOutput("five_prime_plot__two_mm__both__22nt_5prime"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - sense reads - 5' assigned to 22nt"))),
# fluidRow(plotOutput("five_prime_plot__two_mm__sense__22nt_5prime"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt"))),
# fluidRow(plotOutput("five_prime_plot__two_mm__antisense__22nt_5prime"))
# )),
# tabPanel(title = "Scatters", value = "scatters", icon = icon("folder-open", lib="glyphicon"),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 15nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_15"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 16nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_16"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 17nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_17"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 18nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_18"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 19nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_19"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 20nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_20"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 21nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_21"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 23nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_23"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 24nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_24"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 25nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_25"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 26nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_26"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 27nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_27"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 28nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_28"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 29nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_29"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 30nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_30"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 22G x 22A"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22G_22A"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 22G x 22C"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22G_22C"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 22G x 22T"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22G_22T"))
# )),
# tabPanel(title = "Logos", value = "logos", icon = icon("folder-open", lib="glyphicon"),
# wellPanel(
# fluidRow(h5(HTML("No mismatch in seed - antisense reads - 20nt sequence vs shuffled"))),
# fluidRow(plotOutput("seq_logo__no_mm_in_seed__antisense__20nt"))
# ),
# wellPanel(
# fluidRow(h5(HTML("No mismatch in seed - antisense reads - 21nt sequence vs shuffled"))),
# fluidRow(plotOutput("seq_logo__no_mm_in_seed__antisense__21nt"))
# ),
# wellPanel(
# fluidRow(h5(HTML("No mismatch in seed - antisense reads - 22nt sequence vs shuffled"))),
# fluidRow(plotOutput("seq_logo__no_mm_in_seed__antisense__22nt"))
# ),
# wellPanel(
# fluidRow(h5(HTML("No mismatch in seed - antisense reads - 23nt sequence vs shuffled"))),
# fluidRow(plotOutput("seq_logo__no_mm_in_seed__antisense__23nt"))
# ),
# wellPanel(
# fluidRow(h5(HTML("No mismatch in seed - antisense reads - 24nt sequence vs shuffled"))),
# fluidRow(plotOutput("seq_logo__no_mm_in_seed__antisense__24nt"))
# ),
# wellPanel(
# fluidRow(h5(HTML("No mismatch in seed - antisense reads - 25nt sequence vs shuffled"))),
# fluidRow(plotOutput("seq_logo__no_mm_in_seed__antisense__25nt"))
# ),
# wellPanel(
# fluidRow(h5(HTML("No mismatch in seed - antisense reads - 26nt sequence vs shuffled"))),
# fluidRow(plotOutput("seq_logo__no_mm_in_seed__antisense__26nt"))
# )
# ),
# tabPanel(title = "Phasing", value = "phasing", icon = icon("folder-open", lib="glyphicon"),
# wellPanel(
# fluidRow(h5(HTML("No mismatch - 22nt"))),
# fluidRow(plotOutput("phasing__no_mm__22nt"))
# ),
# wellPanel(
# fluidRow(h5(HTML("No mismatch - 26nt"))),
# fluidRow(plotOutput("phasing__no_mm__26nt"))
# )
# ),
# tabPanel(title = "Offsets", value = "offsets", icon = icon("folder-open", lib="glyphicon"),
# wellPanel(
# fluidRow(h5(HTML("No mismatch - Offset from 22nt"))),
# fluidRow(plotOutput("offsets__no_mm__5prime_22nt__antisense")),
# fluidRow(plotOutput("offsets__no_mm__5prime_22nt__sense"))
# )
# ),
# tabPanel(title = "Heatmaps", value = "heatmaps", icon = icon("folder-open", lib="glyphicon"),
# wellPanel(
# fluidRow(h5(HTML("No mismatch - Heatmap from 22nt sense to genes"))),
# fluidRow(plotOutput("heatmaps__no_mm__22nt__pos"),
# plotOutput("heatmaps__no_mm__22nt__neg"))
# )
# )
# )
# )
)
)
)
)
alb202/PACER documentation built on May 16, 2019, 10:05 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
#ui.R
library(shiny)
library(shinyFiles)
library(shinyjs)
library(biomaRt)
ui <- fluidPage(
shinyjs::useShinyjs(),
tags$head(
tags$link(rel = "stylesheet", type = "text/css", href = "lumen.css"),
tags$style(HTML(".modal-lg {width:1100px;padding:0;}"))),
fluidRow(h6(' PACER 2.0')),
#titlePanel("PACER 2.0"),
sidebarLayout(
sidebarPanel(
tabsetPanel(id="sidebar", type = "tabs",
tabPanel(title = "Align", value = "align", icon = icon("folder-open", lib="glyphicon"),
wellPanel(tags$hr(style = "margin:0;padding:0;"),
fluidRow(shinyFiles::shinyDirButton(id = "find_input_dir",
label = "Select folder ...",
title = "Select folder ...")),
fluidRow(h5(textOutput("input_dir"))),
fluidRow(selectInput(inputId = "input_file",
label = NULL,
choices = NULL,
selected = NULL,
selectize = FALSE,
multiple = FALSE,
size = 5)),
fluidRow(
disabled(actionButton(inputId = "use_dataset",
icon = icon("play",
lib = "glyphicon"),
label="Use this dataset ..."))),
fluidRow(tags$hr(style = "margin:1;padding:0;")),
fluidRow(
actionButton(inputId = "select_genome",
#icon = icon("check", lib = "glyphicon"),
label="Select genome")),
fluidRow(h5(textOutput("selected_genome"), style = "margin:1;padding:0;")),
fluidRow(tags$hr(style = "margin:1;padding:0;")))),
tabPanel(title = "Options", value = "options", icon = icon("cog", lib="glyphicon"),
wellPanel(
fluidRow(
actionButton(inputId = "view_adapters",
label="View Adapters")
), tags$br(), tags$br(),
fluidRow(
sliderInput(inputId = "get_range",
label = "Range of read lengths",
min = 10,
max = 30,
value = c(12, 30),
step = 1,
ticks = TRUE,
width = "90%")
), tags$br(), tags$br(),
fluidRow(
numericInput(inputId = "read_cutoff",
label = "Cutoff for over-represented reads",
value = .001,
max = 1,
width = "70%")),tags$br(), tags$br(),
fluidRow(
numericInput(inputId = "cores",
label = "Processing cores",
value = 2,
min = 1,
max = 64,
step = 1,
width = "50%"))
)),
tabPanel(title = "View", value = "view_results", icon = icon("folder-open", lib="glyphicon"),
wellPanel(
fluidRow(shinyFiles::shinyDirButton(id = "find_output_dir",
label = "Select folder ...",
title = "Select folder ...")),
fluidRow(h5(textOutput("output_dir"))),
fluidRow(selectInput(inputId = "processed_file",
label = NULL,
choices = NULL,
selected = NULL,
selectize = FALSE,
multiple = FALSE,
size = 5)),
fluidRow(
disabled(actionButton(inputId = "view_dataset",
icon = icon("check", lib = "glyphicon"),
label="View dataset")))
)
),
tabPanel(title = "Help", value = "help", icon = icon("help", lib="glyphicon"),
wellPanel(fluidRow(
actionButton("make_plots", "Make plots"),
actionButton("show_plots", "Show plots"),
imageOutput(outputId="test_plot",
width = 'auto',
height = 'auto'
)
)
))
)),
mainPanel(
tabsetPanel(id="main", type = "tabs",
tabPanel(title = "Statistics", value = "stats", icon = icon("folder-open", lib="glyphicon"),
wellPanel(
fluidRow(h5(HTML("Trimming log"))),
fluidRow(uiOutput('trim_cmd')),
fluidRow(uiOutput("trim_log"))
),
wellPanel(
fluidRow(h5(HTML("Alignment log"))),
fluidRow(uiOutput('align_cmd')),
fluidRow(uiOutput('align_log'))
)
)
# ,
# tabPanel(title = "Dataset1", value = "dataset1", icon = icon("folder-open", lib="glyphicon"),
# tabsetPanel(id="datasets", type = "tabs",
# tabPanel(title = "5' Plots", value = "five_prime", icon = icon("folder-open", lib="glyphicon"),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - sense and antisense reads"))),
# fluidRow(plotOutput("five_prime_plot__two_mm__both"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - sense reads"))),
# fluidRow(plotOutput("five_prime_plot__two_mm__sense"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads"))),
# fluidRow(plotOutput("five_prime_plot__two_mm__antisense"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - sense and antisense reads - 5' assigned to 22nt"))),
# fluidRow(plotOutput("five_prime_plot__two_mm__both__22nt_5prime"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - sense reads - 5' assigned to 22nt"))),
# fluidRow(plotOutput("five_prime_plot__two_mm__sense__22nt_5prime"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt"))),
# fluidRow(plotOutput("five_prime_plot__two_mm__antisense__22nt_5prime"))
# )),
# tabPanel(title = "Scatters", value = "scatters", icon = icon("folder-open", lib="glyphicon"),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 15nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_15"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 16nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_16"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 17nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_17"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 18nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_18"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 19nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_19"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 20nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_20"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 21nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_21"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 23nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_23"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 24nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_24"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 25nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_25"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 26nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_26"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 27nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_27"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 28nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_28"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 29nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_29"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 30nt x 22nt"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22_30"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 22G x 22A"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22G_22A"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 22G x 22C"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22G_22C"))
# ),
# wellPanel(
# fluidRow(h5(HTML("Two mismatch - antisense reads - 5' assigned to 22nt - 22G x 22T"))),
# fluidRow(plotOutput("scatter__two_mm__antisense__22nt_5prime__22G_22T"))
# )),
# tabPanel(title = "Logos", value = "logos", icon = icon("folder-open", lib="glyphicon"),
# wellPanel(
# fluidRow(h5(HTML("No mismatch in seed - antisense reads - 20nt sequence vs shuffled"))),
# fluidRow(plotOutput("seq_logo__no_mm_in_seed__antisense__20nt"))
# ),
# wellPanel(
# fluidRow(h5(HTML("No mismatch in seed - antisense reads - 21nt sequence vs shuffled"))),
# fluidRow(plotOutput("seq_logo__no_mm_in_seed__antisense__21nt"))
# ),
# wellPanel(
# fluidRow(h5(HTML("No mismatch in seed - antisense reads - 22nt sequence vs shuffled"))),
# fluidRow(plotOutput("seq_logo__no_mm_in_seed__antisense__22nt"))
# ),
# wellPanel(
# fluidRow(h5(HTML("No mismatch in seed - antisense reads - 23nt sequence vs shuffled"))),
# fluidRow(plotOutput("seq_logo__no_mm_in_seed__antisense__23nt"))
# ),
# wellPanel(
# fluidRow(h5(HTML("No mismatch in seed - antisense reads - 24nt sequence vs shuffled"))),
# fluidRow(plotOutput("seq_logo__no_mm_in_seed__antisense__24nt"))
# ),
# wellPanel(
# fluidRow(h5(HTML("No mismatch in seed - antisense reads - 25nt sequence vs shuffled"))),
# fluidRow(plotOutput("seq_logo__no_mm_in_seed__antisense__25nt"))
# ),
# wellPanel(
# fluidRow(h5(HTML("No mismatch in seed - antisense reads - 26nt sequence vs shuffled"))),
# fluidRow(plotOutput("seq_logo__no_mm_in_seed__antisense__26nt"))
# )
# ),
# tabPanel(title = "Phasing", value = "phasing", icon = icon("folder-open", lib="glyphicon"),
# wellPanel(
# fluidRow(h5(HTML("No mismatch - 22nt"))),
# fluidRow(plotOutput("phasing__no_mm__22nt"))
# ),
# wellPanel(
# fluidRow(h5(HTML("No mismatch - 26nt"))),
# fluidRow(plotOutput("phasing__no_mm__26nt"))
# )
# ),
# tabPanel(title = "Offsets", value = "offsets", icon = icon("folder-open", lib="glyphicon"),
# wellPanel(
# fluidRow(h5(HTML("No mismatch - Offset from 22nt"))),
# fluidRow(plotOutput("offsets__no_mm__5prime_22nt__antisense")),
# fluidRow(plotOutput("offsets__no_mm__5prime_22nt__sense"))
# )
# ),
# tabPanel(title = "Heatmaps", value = "heatmaps", icon = icon("folder-open", lib="glyphicon"),
# wellPanel(
# fluidRow(h5(HTML("No mismatch - Heatmap from 22nt sense to genes"))),
# fluidRow(plotOutput("heatmaps__no_mm__22nt__pos"),
# plotOutput("heatmaps__no_mm__22nt__neg"))
# )
# )
# )
# )
)
)
)
)
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