library(rtracklayer)
library(data.table)
library(PureCN)
data(chr.hash)
mySession <- browserSession("UCSC")
genomes <- c("hg18", "hg19", "hg38")
centromeres <- list()
for (genome in genomes) {
genome(mySession) <- genome
if (genome == "hg38") {
tbl.gaps <- getTable( ucscTableQuery(mySession,track="Centromeres",
table="centromeres"))
} else {
tbl.gaps <- getTable( ucscTableQuery(mySession, track="Gap",
table="gap"))
tbl.gaps <- tbl.gaps[tbl.gaps$type=="centromere",]
}
tbl.gaps.dt <- data.table(tbl.gaps)
tbl.centromeres <- as.data.frame(tbl.gaps.dt[,
list(chromStart=min(chromStart),chromEnd=max(chromEnd)),by=chrom])
centromeres[[genome]] <- tbl.centromeres
}
centromeres <- lapply(centromeres, function(x) {
x$chromNumerical <- chr.hash$number[match(x$chrom, chr.hash$chr)]
x[order(x$chromNumerical),1:3]
})
save(centromeres, file="data/centromeres.rda", compress="xz")
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