#' @import shiny
#' @keywords internal
AddVariantCaller <- function() {
radioButtons(inputId = "variantCaller",
label = h5(strong("Variant caller"),
style = "color: #337ab7"),
choiceNames =
list(a(href = "https://github.com/Illumina/strelka",
target = "_blank", "Strelka"),
a(href = "https://github.com/broadgsa/gatk",
target = "_blank","Mutect"),
"Others"),
choiceValues = list("strelka", "mutect", "unknown"),
selected = character(0))
}
#' @import shiny
#' @keywords internal
MergeSBSsAsDBSOption <- function() {
radioButtons(inputId = "mergeSBS",
label = h5(strong("Merge adjacent SBSs as DBS"),
style = "color: #337ab7"),
choiceNames = list("yes", "no"),
choiceValues = list("yes", "no"),
selected = character(0))
}
#' @import shiny
#' @keywords internal
AddCatalogType <- function() {
radioButtons(inputId = "catalogType",
label = h5(strong("Type of Catalogs"),
style = "color: #337ab7"),
choiceNames =
list("SBS96", "SBS192", "SBS1536", "DBS78",
"DBS136", "DBS144", "ID"),
choiceValues = list("SBS96", "SBS192", "SBS1536", "DBS78",
"DBS136", "DBS144", "ID"),
selected = character(0))
}
#' @import shiny
#' @keywords internal
AddTumorColNames <- function() {
textInput(inputId = "tumor.col.names",
label = p(strong(h5("Names of columns in Mutect VCFs containing",
"tumor sample information",
style = "color: #337ab7")),
h5("(e.g. colname1, colname2, colname3 ... ",
"If value is NA(default), the program will use the ",
"10th column in all the VCFs to calculate VAFs)")),
value = "NA")
}
#' @import shiny
#' @keywords internal
AddReferenceGenome <- function(){
radioButtons(inputId = "ref.genome",
label = h5(strong("Reference genome", style = "color: #337ab7")),
choiceNames =
list("Human GRCh37/hg19",
"Human GRCh38/hg38",
"Mouse GRCm38/mm10"),
choiceValues =
list("hg19", "hg38", "mm10"),
selected = character(0))
}
#' @import shiny
#' @keywords internal
AddReferenceGenome2 <- function(){
radioButtons(inputId = "ref.genome2",
label = h5(strong("Reference genome", style = "color: #337ab7")),
choiceNames =
list("Human GRCh37/hg19",
"Human GRCh38/hg38",
"Mouse GRCm38/mm10"),
choiceValues =
list("hg19", "hg38", "mm10"),
selected = character(0))
}
#' @import shiny
#' @keywords internal
AddRegionForVCF <- function(){
radioButtons(inputId = "region",
label = h5(strong("Genomic region"), style = "color: #337ab7"),
choices =
# c("genome", "exome", "transcript", "unknown"),
# The only way to get a transcript only VCF file
# is if someone filters it computationally.
# If someone did that it would be up to them
# to understand the density spectrum plots for
# SBS96 and DBS78 are off.
c("genome", "exome", "unknown"),
selected = character(0))
}
#' @import shiny
#' @keywords internal
AddRegionForSpectra <- function(){
radioButtons(inputId = "region2",
label = h5(strong("Use which signatures for attribution?"),
style = "color: #337ab7"),
choiceNames = list("genome signatures",
"signatures transformed for exome data"),
# c("genome", "exome", "transcript", "unknown"),
# It is conceivable that someone uploads an
# SBS96, or DBS78 spectrum that is only from a transcript,
# e.g.because it was collapsed from a SBS192
# spectrum, but there is no SBS96 count signature
# derived from transcript only opportunity
choiceValues = list("genome", "exome"),
selected = character(0))
}
#' @import shiny
#' @keywords internal
AddSampleNames <- function() {
textInput(inputId = "names.of.VCFs",
label = p(strong(h5("Sample names"), style = "color: #337ab7"),
h5("(e.g. name1, name2, name3...If blank, ",
"then use the names of the VCF files.)")))
}
#' @import shiny
#' @keywords internal
AddFilterStatus <- function() {
textInput(inputId = "filter.status",
label = p(strong(h5("Filter status"), style = "color: #337ab7"),
h5("The character string in column FILTER of the VCF ",
"that indicates that a variant has passed all the ",
"variant caller's filters (e.g. PASS)")))
}
#' @import shiny
#' @keywords internal
AddBaseFilename <- function() {
textInput(inputId = "base.filename",
label =
p(strong(h5("Base name of the CSV and PDF files to create",
style = "color: #337ab7")),
h5("(e.g. name1, or you may leave it blank)")))
}
#' @import shiny
#' @keywords internal
AddZipfileName <- function() {
textInput(inputId = "zipfile.name",
label = p(strong(h5("Name of zip file to create",
style = "color: #337ab7"))),
value = "mSigAct-catalogs-output")
}
#' @import shiny
#' @keywords internal
UploadVCFFiles <- function() {
div(
fileInput(inputId = "vcf.files", label = "Choose VCF Files",
multiple = TRUE, accept = c(".vcf", ".VCF")), style="color: #337ab7;")
}
#' @import shiny
#' @keywords internal
UploadSpectra <- function() {
div(
fileInput(inputId = "upload.spectra", label = "Choose spectra file",
accept = c(".csv", ".CSV")), style="color: #337ab7;")
}
#' @import shiny
#' @keywords internal
LoadExampleSpectra <- function() {
textOutput(outputId = "exampleSpectraText")
tags$head(tags$style("#exampleSpectraText{color: #337ab7;"))
splitLayout(cellWidths = c("25%", "25%", "25%", "25%"),
actionButton(inputId = "preloadSBS96Spectra", label = "SBS96"),
actionButton(inputId = "preloadSBS192Spectra", label = "SBS192"),
actionButton(inputId = "preloadDBS78Spectra", label = "DBS78"),
actionButton(inputId = "preloadIDSpectra", label = "ID"))
}
#' @import shiny
#' @keywords internal
MyDownloadButton <- function (outputId, label = "Download",
class = NULL, ...) {
{
aTag <- tags$a(id = outputId,
class = paste("btn btn-default shiny-download-link", class),
href = "", target = "_blank", download = NA,
icon(NULL), label, ...)
}
}
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