library(tibble)
library(magrittr)
library(dplyr)
library(plyranges)
library(GenomicFeatures)
library(Gviz)
as_granges <- function(x) {
return(GenomicRanges::makeGRangesFromDataFrame(x, keep.extra.columns = TRUE))
}
current_dir <- rstudioapi::getSourceEditorContext()$path
inst_dir <- dirname(dirname(current_dir))
extdata_dir <- file.path(inst_dir, "extdata")
################################################################################
# generate test txdb
g1 <- tibble(
start = c(1e4, 1.5e4, 3e4),
end = start + 1e4 - 1,
seqnames = "1",
strand = c("+", "+", "-"),
type = c(rep("transcript", 3)),
ID = paste0(rep("t1.", 3), seq_len(3)),
)
grng <- g1 %>% as_granges()
txdb <- makeTxDbFromGRanges(grng)
saveDb(txdb, file.path(extdata_dir, "test_upr.txdb"))
################################################################################
# generate test bigwig file
wig_plus <- tibble(seqnames = 1,
start = c(start(grng)[1], end(grng)[3]),
end = c(end(grng)[2], end(grng)[3] + 1e2),
strand = "+",
score = c(1, 1)) %>% as_granges()
seqlengths(wig_plus) <- c(1e5)
wig_minus <- tibble(seqnames = 1,
start = c(start(grng)[1] - 1e2, start(grng)[3]),
end = c(start(grng)[1], end(grng)[3]),
strand = "-",
score = c(-2, -2)) %>% as_granges()
seqlengths(wig_minus) <- c(1e5)
generate_bigwig <- function(wig, wig_name) {
rtracklayer::export.bw(object = wig, con = file.path(extdata_dir, wig_name))
}
generate_bigwig(wig = wig_plus, "test_upr_plus.bw")
generate_bigwig(wig = wig_minus, "test_upr_minus.bw")
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