HW6a - Demultiplexing

Write a demultiplexing function that accepts any number of barcodes and splits a FASTQ file into as many subfiles as there are barcodes. At the same time the function should remove low quality tails from the reads. The following function accomplishes the first step. Expand this function so that it performs the second step as well.

demultiplex <- function(x, barcode, nreads) {
	f <- FastqStreamer(x, nreads) 
	while(length(fq <- yield(f))) {
		for(i in barcode) {
			pattern <- paste("^", i, sep="")
			fqsub <- fq[grepl(pattern, sread(fq))] 
			if(length(fqsub) > 0) {
				writeFastq(fqsub, paste(x, i, sep="_"), mode="a", compress=FALSE)
demultiplex(x=fastq[1], barcode=c("TT", "AA", "GG"), nreads=50)

HW6b - Sequence Parsing

  • Download GFF from Halobacterium sp here
  • Download genome sequence from Halobacterium sp here
  • Task 1 Extract gene ranges, parse their sequences from genome and translate them into proteins
  • Task 2 Reduce overlapping genes and parse their sequences from genome
  • Task 3 Generate intergenic ranges and parse their sequences from genome

Useful commands

download.file("ftp://ftp.ncbi.nlm.nih.gov/genomes/archive/old_genbank/Bacteria/Halobacterium_sp_uid217/AE004437.gff", "data/AE004437.gff")
download.file("ftp://ftp.ncbi.nlm.nih.gov/genomes/archive/old_genbank/Bacteria/Halobacterium_sp_uid217/AE004437.fna", "data/AE004437.fna")
chr <- readDNAStringSet("data/AE004437.fna")
gff <- import("data/AE004437.gff")
gffgene <- gff[values(gff)[,"type"]=="gene"]
gene <- DNAStringSet(Views(chr[[1]], IRanges(start(gffgene), end(gffgene))))
names(gene) <- values(gffgene)[,"locus_tag"]
pos <- values(gffgene[strand(gffgene) == "+"])[,"locus_tag"]
p1 <- translate(gene[names(gene) %in% pos])
names(p1) <- names(gene[names(gene) %in% pos])
neg <- values(gffgene[strand(gffgene) == "-"])[,"locus_tag"]
p2 <- translate(reverseComplement(gene[names(gene) %in% neg]))
names(p2) <- names(gene[names(gene) %in% neg])
writeXStringSet(c(p1, p2), "./data/mypep.fasta")

Homework submission

Submit the homework results in one well structured and annotated R script to the instructor. The script should include instructions on how to use the functions.

Due date

This homework is due on Thu, May 4th at 6:00 PM.

Homework Solutions

See here.

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