Get total trinucleotide counts from a subset of chromosomes
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Entering edit mode
7.3 years ago
nanana ▴ 120

I'm trying to use the trinucleotideFrequency function in the BS.genomes package to calculate trinucleotide frequency over a subset of chromosomes in a genome. I can do this for each chromosomes in the subset individually, but I'm not sure how to do this for all combined. Here's what I'm trying:

trinuc.freqs <- function(genome=NA){
  ifis.na(genome)){
    cat("No genome specfied, defaulting to 'BSgenome.Dmelanogaster.UCSC.dm6'\n")
    library(BSgenome.Dmelanogaster.UCSC.dm6, quietly = TRUE)
    genome <- BSgenome.Dmelanogaster.UCSC.dm6
  }

  seq_genome<-seqnames(genome)[1:7]

  for(seqname in seq_genome){
    cat(seqname, "\n")
    print(trinucleotideFrequency(genome[[seqname]]))
  }
}

I've also tried using the bsapply function, but it produces the same (per chromosome) output:

params <- new("BSParams", X = Dmelanogaster, FUN = trinucleotideFrequency, exclude = c("M", "_"))
bsapply(params)

What I want is to have a genome-wide trinucleotide count for a subset of chromosomes, not a per-chromosomes trinucleotide count.

Can anyone point me in the right direction?

R genome • 1.8k views
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0
Entering edit mode
7.3 years ago
nanana ▴ 120

At least one way of achieving this is to simplify the output returned from bsapply and sum the rows to give a genome-wide count:

trinuc.freqs <- function(genome=NA){
  ifis.na(genome)){
    cat("No genome specfied, defaulting to 'BSgenome.Dmelanogaster.UCSC.dm6'\n")
    library(BSgenome.Dmelanogaster.UCSC.dm6, quietly = TRUE)
    genome <- BSgenome.Dmelanogaster.UCSC.dm6
  }

  params <- new("BSParams", X = Dmelanogaster, FUN = trinucleotideFrequency, exclude = c("M", "_"), simplify = TRUE)
  data<-as.data.frame(bsapply(params))
  data$genome<-as.integer(rowSums(data))
  gen_wide <- data['genome']
  colnames(gen_wide) <- NULL

  return(gen_wide)
}
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