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Last active Dec 22, 2015
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Find two minima around a peak, given data structured like an output kmer counting histogram table from jellyfish. Requires 'zoo' and 'ggplot2' packages. More information at
#Kathryn Turner June 21, 2013
#Given an output kmer counting histogram table from jellyfish,
#find two minima around a peak
#input table from jellyfish
dat <- read.table("data.from.jellyfish.hist", head=T)
frequency multiplicity
1 513363 1
2 2024 10
3 25 100
4 21 101
5 18 102
6 22 103
#run function, requires instalation of zoo and ggplot2 packages
#specify data as dataframe, window along which local minima is determined,
#cutoff1 (low) and cutoff2 (high) to subset data around specific peak
#breaks determines number of bins in subset
#default prints multiplicity and frequency of first minima
#extra plots graph and print starting AND stopping minima around peak (hopefully)
Minima.mer <- function(kmerdat, window=4, cutoff1=3, cutoff2=100, breaks=100, extra=FALSE){
#limit scope of analysis around peak of interest w/cutoffs
sub <- kmerdat[kmerdat$multiplicity<cutoff2 & kmerdat$multiplicity>cutoff1,]
sub <- sub[with(sub, order(multiplicity)), ]
freq <- sub$frequency
mul <- sub$multiplicity
binned <- data.frame(mul=mul, bin = cut(mul, breaks=breaks))
binned2 <- aggregate(freq~bin, data=binned, sum)
freqz <- as.zoo(binned2$freq)
rfreqz <- rollapply(freqz, window, function(x) which.min(x)==2)
minima <- as.vector(index(rfreqz)[coredata(rfreqz)])
binned3 <- binned2
binned4<-data.frame('rbind', strsplit(as.character(binned3$bin), ',', fixed=TRUE)))
binned3 <- cbind(binned3, binned4)
binned3$X1 <- as.numeric(gsub( "\\(", "", as.character(binned3$X1)))
binned3$X2 <- as.numeric(gsub( "\\]", "", as.character(binned3$X2)))
print(kmerdat[kmerdat$multiplicity>=binned3[minima[1],]$X1 & kmerdat$multiplicity<=binned3[minima[1],]$X2,])
if (extra==TRUE){
print("Start minima")
print("Stop minima")
p <- qplot(x=binned2$bin, y=binned2$freq, xlab="binned multiplicity", ylab="binned frequency")
return(p+ annotate("point", x=binned2$bin[minima[1]], y=binned2$freq[minima[1]], size = 5, color = "green")+
annotate("point",x=binned2$bin[minima[2]], y=binned2$freq[minima[2]], size = 5, color = "red"))
#run function on data
Minima.mer(dat, extra=TRUE)
#play with window size to find appropriately located minima
#adjust cutoff1 and cutoff2 to subset data
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jvhaarst commented Sep 5, 2013

There's a typo in

print(dat[dat$multiplicity>=binned3[minima[1],]$X1 & dat$multiplicity<=binned3[minima[1],]$X2,])

I think it should be

print(kmerdat[kmerdat$multiplicity>=binned3[minima[1],]$X1 & kmerdat$multiplicity<=binned3[minima[1],]$X2,])

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kgturner commented Sep 6, 2013

Fixed, thanks for the comment!

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davidvilanova commented Jun 21, 2015

Not working with latest jellyfish 2.20 .

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