#
# Load data:
#
data(m16j)
#
# Define a function to compute the GC skew:
#
gcskew <- function(x) {
if (!is.character(x) || length(x) > 1)
stop("single string expected")
tmp <- tolower(s2c(x))
nC <- sum(tmp == "c")
nG <- sum(tmp == "g")
if (nC + nG == 0)
return(NA)
return(100 * (nC - nG)/(nC + nG))
}
#
# Moving window along the sequence:
#
step <- 10000
wsize <- 10000
starts <- seq(from = 1, to = nchar(m16j), by = step)
starts <- starts[-length(starts)]
n <- length(starts)
result <- numeric(n)
for (i in seq_len(n)) {
result[i] <- gcskew(substr(m16j, starts[i], starts[i] + wsize - 1))
}
#
# Plot the result:
#
xx <- starts/1000
yy <- result
n <- length(result)
hline <- 0
plot(yy ~ xx, type = "n", axes = FALSE, ann = FALSE, ylim = c(-10, 10))
polygon(c(xx[1], xx, xx[n]), c(min(yy), yy, min(yy)), col = "black", border = NA)
usr <- par("usr")
rect(usr[1], usr[3], usr[2], hline, col = "white", border = NA)
lines(xx, yy)
abline(h = hline)
box()
axis(1, at = seq(0, 1600, by = 200))
axis(2, las = 1)
title(xlab = "position (Kbp)", ylab = "(C-G)/(C+G) [percent]",
main = expression(paste("GC skew in ", italic(Escherichia~coli))))
arrows(860, 5.5, 720, 0.5, length = 0.1, lwd = 2)
text(860, 5.5, "origin of replication", pos = 4)
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