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processAmplicons <- function(readfile, readfile2=NULL, barcodefile, hairpinfile,
allowMismatch=FALSE, barcodeMismatchBase=1, hairpinMismatchBase=2,
dualIndexForwardRead=FALSE, verbose=FALSE, barcodesInHeader=FALSE,
hairpinBeforeBarcode=FALSE,
plotPositions=FALSE)
# Oliver Voogd 28 July 2022.
# Edits by Gordon Smyth 5 Aug 2022.
{
# A simple check for the existence of the given files
# Also check that files are not gzipped.
checkFileExistence <- function(readfilenames){
for(i in 1:length(readfilenames)){
if (!file.exists(readfilenames[i]))
stop("Read file ", readfilenames[i], " doesn't exist.")
f <- file(readfilenames[i])
connectionclass <- summary(f)$class
close(f)
if(!identical(connectionclass,"file"))
stop("Read file ", readfilenames[i], " is of class ", connectionclass, ". Must be uncompressed text file.")
}
}
# Check file existence
numfiles <- length(readfile)
checkFileExistence(readfile)
IsPairedReads <- FALSE
if (!is.null(readfile2)) {
IsPairedReads <- TRUE
if (numfiles != length(readfile2))
stop("readfile and readfile2 length should match each other.")
checkFileExistence(readfile2)
}
IsDualIndexingOnForwardRead <- dualIndexForwardRead
# check for existance of barcode and hairpin file
if (!file.exists(barcodefile))
stop("Barcode file doesn't exist.")
if (!file.exists(hairpinfile))
stop("Hairpin file doesn't exist.")
# Find the length of the first read
reads <- file(readfile[1], "rt")
first_read <- readLines(reads, 2)
readlength <- nchar(first_read[2])
close(reads)
# Validate barcodes
barcodes <- read.table(barcodefile, header=TRUE, sep="\t")
barcodeIDIndex <- which(colnames(barcodes) == 'ID')
if (length(barcodeIDIndex) < 1L)
stop("Can't find column ID in ", barcodefile)
barcodeseqIndex <- which(colnames(barcodes) == 'Sequences')
if (length(barcodeseqIndex) < 1)
stop("Can't find column Sequences in ", barcodefile)
barcodeIDs <- as.character(barcodes[, barcodeIDIndex])
barcodeseqs <- as.character(barcodes[, barcodeseqIndex])
barcodelength <- nchar(barcodeseqs[[1]])
barcode2length <- 0L
barcodelengthReverse <- 0L
if (anyDuplicated(barcodeIDs))
stop("There are duplicate barcode IDs.")
if ((min(nchar(barcodeseqs)) != barcodelength) || (max(nchar(barcodeseqs)) != barcodelength)) ## barcodes all must be same length
stop("Barcode sequence length is set to ", barcodelength, ", there are barcode sequence not with specified length.")
if (IsPairedReads) {
barcodeseqRevIndex <- which(colnames(barcodes) == 'SequencesReverse') ## finds the index of reverse barcodes
if (length(barcodeseqRevIndex) < 1)
stop("Can't find column SequencesReverse in ", barcodefile)
barcodeseqsReverse <- as.character(barcodes[, barcodeseqRevIndex]) ## finds the reverse barcodes
barcodelengthReverse <- nchar(barcodeseqsReverse[[1]])
if ((min(nchar(barcodeseqsReverse)) != barcodelengthReverse) || (max(nchar(barcodeseqsReverse)) != barcodelengthReverse))
stop("Reverse barcode sequence length is set to ", barcodelength, ", there are reverse barcode sequence not in specified length.")
concatenatedBarcodeseqs <- paste(barcodeseqs, barcodeseqsReverse, sep="")
if (anyDuplicated(concatenatedBarcodeseqs))
stop("There are duplicate forward/reverse barcode sequences.")
} else if (IsDualIndexingOnForwardRead) {
barcodeseq2Index <- which(colnames(barcodes) == 'Sequences2')
if (length(barcodeseq2Index) < 1L)
stop("Can't find column Sequences2 in ", barcodefile)
barcode2seqs <- as.character(barcodes[, barcodeseq2Index])
barcode2length <- nchar(barcode2seqs[[1]])
if ((min(nchar(barcode2seqs)) != barcode2length) || (max(nchar(barcode2seqs)) != barcode2length))
stop("Forward barcode2 sequence length is set to ", barcode2length, ", there are barcode2 sequence not in specified length.")
concatenatedBarcodeseqs <- paste(barcodeseqs, barcode2seqs, sep="")
if (anyDuplicated(concatenatedBarcodeseqs))
stop("There are duplicate barcode/barcode2 sequences.")
} else {
if (anyDuplicated(barcodeseqs)) stop("There are duplicate barcode sequences.")
}
# Validate hairpins
hairpins <- read.table(hairpinfile, header=TRUE, sep="\t") ## read in the hairpin table
hairpinIDIndex <- which(colnames(hairpins) == 'ID')
if (length(hairpinIDIndex) < 1L)
stop("Can't find column ID in ", hairpinfile)
hairpinIDs <- as.character(hairpins[, hairpinIDIndex])
hairpinSeqIndex <- which(colnames(hairpins) == 'Sequences')
if (length(hairpinSeqIndex) < 1L)
stop("Can't find column Sequences in ", hairpinfile)
hairpinseqs <- as.character(hairpins[, hairpinSeqIndex])
hairpinlength <- nchar(hairpinseqs[[1]])
if ((min(nchar(hairpinseqs)) != hairpinlength) || (max(nchar(hairpinseqs)) != hairpinlength))
stop("Hairpin sequence length is set to ", hairpinlength, ", there are hairpin sequences not with specified length.")
if (anyDuplicated(hairpinseqs))
stop("There are duplicate hairpin sequences.")
if (anyDuplicated(hairpinIDs))
stop("There are duplicate hairpin IDs.")
# validate mismatch/shifting input parameters
if (allowMismatch) {
if ((barcodeMismatchBase < 0) || (barcodeMismatchBase > 2))
stop("To allow mismatch in barcode sequence, please input a non-negative barcodeMismatchBase no greater than than 2. ")
if ((hairpinMismatchBase < 0) || (hairpinMismatchBase > 4))
stop("To allow mismatch in hairpin sequence, please input a non-negative hairpinMismatchBase no greater than than 4. ")
}
tempbarcodefile <- paste("Barcode", as.character(Sys.getpid()), "temp.txt", sep = "_")
on.exit({ if (file.exists(tempbarcodefile)) { file.remove(tempbarcodefile) }}, add=TRUE)
if (IsPairedReads) {
bothBarcodeSeqs <- cbind(barcodeseqs, barcodeseqsReverse)
write.table(bothBarcodeSeqs, file=tempbarcodefile, sep="\t", quote=FALSE, row.names=FALSE, col.names=FALSE);
} else if (IsDualIndexingOnForwardRead) {
bothBarcodeSeqs <- cbind(barcodeseqs, barcode2seqs)
write.table(bothBarcodeSeqs, file=tempbarcodefile, sep="\t", quote=FALSE, row.names=FALSE, col.names=FALSE);
} else {
write.table(barcodeseqs, file=tempbarcodefile, sep="\t", quote=FALSE, row.names=FALSE, col.names=FALSE);
}
temphairpinfile <- paste("Hairpin", as.character(Sys.getpid()), "temp.txt", sep = "_")
on.exit({ if (file.exists(temphairpinfile)) { file.remove(temphairpinfile) }}, add=TRUE) ## remove file on exit
write.table(hairpinseqs, file=temphairpinfile, sep="\t", quote=FALSE, row.names=FALSE, col.names=FALSE);
## generate a unique output file for C output storage
tempoutfile <- paste("ReadcountSummary", as.character(Sys.getpid()), "output.txt", sep = "_")
on.exit({ if (file.exists(tempoutfile)) { file.remove(tempoutfile) }}, add=TRUE)
## generate unique files for graphing the distribution of positive barcode and hairpin read locations
tempbarcodeposfile <- paste("BarcodePosition", as.character(Sys.getpid()), "Summary.txt", sep="_")
on.exit({if (file.exists(tempbarcodeposfile)) { file.remove(tempbarcodeposfile) }}, add=TRUE)
tempbarcode2posfile <- paste("Barcode2Position", as.character(Sys.getpid()), "Summary.txt", sep="_")
on.exit({if (file.exists(tempbarcode2posfile)) { file.remove(tempbarcode2posfile) }}, add=TRUE)
temphairpinposfile <- paste("HairpinPosition", as.character(Sys.getpid()), "Summary.txt", sep="_")
on.exit({if (file.exists(temphairpinposfile)) {file.remove(temphairpinposfile) }}, add=TRUE)
tryCatch({
if (!IsPairedReads) {
readfile2 <- rep("DummyReadfile.fastq", numfiles) ## create fake files if only one file given
barcodelengthReverse <- 0L
}
if (!IsDualIndexingOnForwardRead) {
barcode2length <- 0L
}
## calls the c function .cxx_processHairpinReads which fills data into tempoutfile
.C(.cxx_processHairpinReads, as.integer(IsPairedReads), as.integer(IsDualIndexingOnForwardRead),
as.character(readfile), as.character(readfile2), as.integer(numfiles),
as.character(tempbarcodefile), as.character(temphairpinfile),
as.integer(barcodelength), as.integer(barcode2length), as.integer(barcodelengthReverse),
as.integer(hairpinlength),
as.integer(allowMismatch), as.integer(barcodeMismatchBase), as.integer(hairpinMismatchBase),
as.character(tempoutfile), as.integer(verbose), as.integer(barcodesInHeader), as.integer(plotPositions),
as.character(tempbarcodeposfile), as.character(tempbarcode2posfile), as.character(temphairpinposfile),
as.integer(hairpinBeforeBarcode))
## retrive all of the calculated data
hairpinReadsSummary <- read.table(tempoutfile, sep="\t", header=FALSE)
## if plotPositions is true, plot all of the relevant data
if (plotPositions) {
numberOfPlots <- 1L
oneRowFrame <- data.frame(read_position = 0, counts = 0)
barcodePositionSummary <- read.table(tempbarcodeposfile, sep="\t", header=FALSE)
barcodePositionSummary <- data.frame(read_position = 1:nrow(barcodePositionSummary), counts = barcodePositionSummary$V1)
barcodePositionSummary <- rbind(oneRowFrame, barcodePositionSummary)
if (IsPairedReads || IsDualIndexingOnForwardRead) {
numberOfPlots <- 2L
barcode2PositionSummary <- read.table(tempbarcode2posfile, sep="\t", header=FALSE)
barcode2PositionSummary <- data.frame(read_position=1:nrow(barcode2PositionSummary), counts=barcode2PositionSummary$V1)
barcode2PositionSummary <- rbind(oneRowFrame, barcode2PositionSummary)
}
hairpinPositionSummary <- read.table(temphairpinposfile, sep="\t", header=FALSE)
hairpinPositionSummary <- data.frame(read_position = 1:nrow(hairpinPositionSummary), counts = hairpinPositionSummary$V1)
hairpinPositionSummary <- rbind(oneRowFrame, hairpinPositionSummary)
oldpar <- par(mfrow=c(1, numberOfPlots))
on.exit(par(oldpar), add=TRUE)
plotColours <- c("firebrick", "navyblue")
legendNames <- c("Barcodes", "Hairpins")
plot(NULL,
xlim = c(0, max(barcodePositionSummary$read_position, hairpinPositionSummary$read_position)),
ylim = c(0, 1.2 * max(barcodePositionSummary$counts, hairpinPositionSummary$counts)),
ylab = "Sequence Counts",
xlab = "Read Position",
main = "Barcode & Hairpin Position")
polygon(barcodePositionSummary$read_position, barcodePositionSummary$counts, col="firebrick", border="firebrick")
polygon(hairpinPositionSummary$read_position, hairpinPositionSummary$counts, col="navyblue", border="navyblue")
legend(x=max(barcodePositionSummary$read_position),
y= 1.2 * max(barcodePositionSummary$counts),
legend=legendNames,
col=plotColours,
fill=plotColours,
xjust=1)
if (IsPairedReads || IsDualIndexingOnForwardRead) {
title <- "Paired Read Barcode Positions"
if (IsDualIndexingOnForwardRead) {
title <- "Dual Indexed Barcode Positions"
}
plot(NULL,
xlim=c(0, max(barcode2PositionSummary$read_position)),
ylim=c(0, 1.2 * max(barcode2PositionSummary$counts)),
ylab = "Sequence Counts",
xlab = "Read Position",
main = title)
polygon(barcode2PositionSummary$read_position, barcode2PositionSummary$counts, col="firebrick", border="firebrick")
}
}
}, error = function(err) {print(paste("ERROR MESSAGE: ",err))}
)
if (exists("hairpinReadsSummary")) {
if (nrow(hairpinReadsSummary) != length(hairpinIDs))
stop("Number of hairpins from result count matrix doesn't agree with given hairpin list. ")
if (ncol(hairpinReadsSummary) != length(barcodeIDs))
stop("Number of barcodes from result count matrix doesn't agree with given barcode list. ")
colnames(hairpinReadsSummary) = barcodeIDs
rownames(hairpinReadsSummary) = hairpinIDs
x <- DGEList(counts = hairpinReadsSummary, genes = hairpins)
if(!is.null(barcodes$group)) {
x$samples <- cbind(
ID=barcodes$ID,
lib.size=x$samples$lib.size,
norm.factors=x$samples$norm.factors,
barcodes[,-match(c("ID","Sequences"),
colnames(barcodes))])
} else {
x$samples <- cbind(
ID=barcodes$ID,
x$samples,
barcodes[,-match(c("ID","Sequences"),
colnames(barcodes))])
}
} else {
stop("An error occurred in processHairpinReads.")
}
# remove all of these??
#if (file.exists(tempbarcodefile)) { file.remove(tempbarcodefile) }
#if (file.exists(temphairpinfile)) { file.remove(temphairpinfile) }
#if (file.exists(tempoutfile)) { file.remove(tempoutfile) }
#if (file.exists(tempbarcodeposfile)) { file.remove(tempbarcodeposfile) }
#if (file.exists(tempbarcode2posfile)) { file.remove(tempbarcode2posfile) }
#if (file.exists(temphairpinposfile)) {file.remove(temphairpinposfile) }
return(x)
}
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