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# some utilities to simplify exploration of ISB Cancer Genomic Cloud BigQuery
# August 2017
#' Access the dataset names in the "isb-cgc" project
#' @return character vector
#' @examples
#' isbCgcDatasets() # might be out of date ... can use list_datasets in bigrquery
#' @export
isbCgcDatasets = function() {
c("ccle_201602_alpha",
"GDC_metadata",
"genome_reference",
"hg19_data_previews",
"hg38_data_previews",
"metadata",
"platform_reference",
"QotM",
"TARGET_bioclin_v0",
"TARGET_hg38_data_v0",
"tcga_201607_beta",
"TCGA_bioclin_v0",
"tcga_cohorts",
"TCGA_hg19_data_v0",
"TCGA_hg38_data_v0",
"tcga_seq_metadata",
"Toil_recompute")
}
#' List the tables in a selected dataset
#' @import DBI
#' @param dataset character string identifying a table in "isb-cgc"
#' @param billing Google BigQuery billing code, which can be set in an environment variable \code{CGC_BILLING}
#' @return character vector
#' @examples
#' if (interactive()) {
#' # be sure that .cgcBilling is set
#' code = Sys.getenv("CGC_BILLING")
#' if (!(nchar(code)==0)) {
#' isbCgcTables()
#' }
#' }
#' @export
isbCgcTables = function(dataset="TCGA_hg19_data_v0", billing=Sys.getenv("CGC_BILLING")) {
stopifnot(dataset %in% isbCgcDatasets())
con <- dbConnect(bigquery(), project = "isb-cgc",
dataset = dataset, billing = billing)
on.exit(dbDisconnect(con))
dbListTables(con)
}
setClass("TableSet", representation(dataset="character",
tablenames="character", tables="list"))
setMethod("show", "TableSet", function(object) {
cat("TableSet for dataset ", object@dataset, "\n")
cat(" with", length(object@tables), "tables.\n")
})
TCGA_tablerefs = function(build="hg19", billing=Sys.getenv("CGC_BILLING")) {
getConn = function(dataset) dbConnect(bigquery(), project = "isb-cgc",
dataset = dataset, billing = billing)
if (build == "hg19") {
ds = "TCGA_hg19_data_v0"
}
else if (build == "hg38") {
ds = "TCGA_hg38_data_v0"
}
tblnames = isbCgcTables(dataset=ds, billing=billing)
new("TableSet", dataset=ds, tablenames=tblnames, tables=
lapply(tblnames, function(x) getConn(ds) %>% tbl(x)))
}
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