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#' @rdname appUI
#' @importFrom shiny textOutput
helpUI <- function(id, tab) {
ns <- NS(id)
# if (requireNamespace("parallel", quietly = TRUE)) {
# cores <- parallel::detectCores()
# coresInput <- tagList(
# sliderInput(ns("cores"), h4("Number of cores"), value=1, min=1,
# step=1, max=cores, width="auto", post=" core(s)"),
# helpText("A total of", cores, "cores were detected.")
# )
# } else {
# coresInput <- numericInput(ns("cores"), h4("Number of cores"), value=1,
# min=1, step=1, width="auto")
# }
link <- function(href, ..., target="_blank") {
a <- tags$a(href=href, target=target, ...)
}
linkItem <- function(href, ..., target="_blank") {
a <- link(href, ..., target=target)
a <- tags$li(class="list-group-item", a)
return(a)
}
guiLink <- paste0("https://nuno-agostinho.github.io/psichomics/",
"articles/GUI_tutorial.html")
cliLink <- paste0("https://nuno-agostinho.github.io/psichomics/",
"articles/CLI_tutorial.html")
customDataLink <- paste0("https://nuno-agostinho.github.io/psichomics/",
"articles/custom_data.html")
customAnnotLink <- paste0("https://nuno-agostinho.github.io/psichomics/",
"articles/AS_events_preparation.html")
tutorials <- div(
class="panel", class="panel-default",
div(class="panel-heading", icon("file-text"), tags$b("Tutorials")),
tags$ul(
class="list-group",
linkItem(guiLink, "Visual interface tutorial"),
linkItem(cliLink, "Command-line interface (CLI) tutorial"),
linkItem(customDataLink,
"Loading SRA and user-provided RNA-seq data"),
linkItem(customAnnotLink,
"Preparing custom alternative splicing annotations")))
supportLink <- "https://support.bioconductor.org/t/psichomics/"
githubIssues <- "https://github.com/nuno-agostinho/psichomics/issues/new"
feedback <- div(
class="panel", class="panel-default",
div(class="panel-heading", icon("comments"), tags$b("Feedback")),
tags$ul(class="list-group",
linkItem(supportLink, "Questions and general support"),
linkItem(githubIssues, "Suggestions and bug reports")))
groupSite <- "http://imm.medicina.ulisboa.pt/group/distrans/"
immSite <- "http://imm.medicina.ulisboa.pt"
about <- div(
class="panel", class="panel-default",
div(class="panel-heading",
icon("info-circle"), tags$b("About")),
div(class="panel-body",
"psichomics is an interactive R package for integrative analyses",
"of alternative splicing and gene expression from large",
"transcriptomic datasets including those from",
link("https://cancergenome.nih.gov",
"The Cancer Genome Atlas (TCGA)"),
"and from the",
link("https://www.gtexportal.org/home/",
"Genotype-Tissue Expression (GTEx)"),
"project, as well as user-provided data."),
tags$ul(class="list-group",
tags$li(class="list-group-item",
tags$b("Developer:"),
link("mailto:nunodanielagostinho@gmail.com",
"Nuno Saraiva-Agostinho", icon("envelope-o"))),
tags$li(class="list-group-item",
tags$b("Supervisor:"), "Nuno L. Barbosa-Morais"),
linkItem(groupSite, "Disease Transcriptomics lab"),
linkItem(immSite, "Instituto de Medicina Molecular"),
tags$li(class="list-group-item",
tags$small(class="help-block", style="margin: 0;",
style="text-align: right;", "2015-2020"))))
credits <- c("Lina Gallego", "Marie Bordone", "Mariana Ferreira",
"Teresa Maia", "Carolina Leote", "Juan Carlos Verjan",
"Bernardo de Almeida")
credits <- lapply(credits, tags$li, class="list-group-item")
acknowledgments <- div(
class="panel", class="panel-default",
div(class="panel-heading",
icon("life-ring"), tags$b("Acknowledgments")),
div(class="panel-body",
"This work would not be possible without the support of current",
"and former members of Nuno Morais lab. Thank you for your help."),
do.call(tags$ul, c(credits, list(class="list-group"))))
tab(title="Help", icon="question", linkToArticles(),
h2("Settings", style="margin-top: 0;"), fluidRow(
# column(4, coresInput),
column(4,
sliderInput(ns("precision"), h4("Numeric precision"),
value=3, min=0, max=10, step=1, width="auto",
post=" decimal(s)"),
textOutput(ns("precisionExample")),
helpText("Only applies to new calculations.")),
column(4,
sliderInput(ns("significant"), h4("Significant digits"),
value=3, min=0, max=10, step=1, width="auto",
post=" digit(s)"),
textOutput(ns("significantExample")),
helpText("Only applies to new calculations."))),
h2("Support"),
fluidRow(column(4, tutorials, feedback),
column(4, about),
column(4, acknowledgments)))
}
#' @rdname appServer
#' @importFrom shiny observe renderText
helpServer <- function(input, output, session) {
# observe(setCores(input$cores))
observe({
setPrecision(input$precision)
output$precisionExample <- renderText(
paste("Example:",
formatC(283.5837243243,
digits=getPrecision(), format="f")))
})
observe({
setSignificant(input$significant)
output$significantExample <- renderText(
paste("Example:",
formatC(5.849371935e-06,
getSignificant(), format="g")))
})
}
attr(helpUI, "loader") <- "app"
attr(helpServer, "loader") <- "app"
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