bsapply: bsapply

In Przemol/mirrors-bioc-BSgenome: Infrastructure for Biostrings-based genome data packages

Description

Apply a function to each chromosome in a genome.

Usage

bsapply(BSParams, ...)

Arguments

BSParams	a BSParams object that holds the various parameters needed to configure the bsapply function
...	optional arguments to 'FUN'.

Details

By default the exclude parameter is set to not exclude anything. A popular option will probably be to set this to "rand" so that random bits of unassigned contigs are filtered out.

Value

If BSParams sets simplify = FALSE, a GenomeData object is returned containing the results generated using the remaining BSParams specifications. If BSParams sets simplify = TRUE, an sapply-like simplification is used on the results.

Author(s)

Marc Carlson

See Also

BSParams-class, BSgenome-class, BSgenome-utils, GenomeData-class

Examples

  ## Load the Worm genome:
  library("BSgenome.Celegans.UCSC.ce2")

  ## Count the alphabet frequencies for every chromosome but exclude
  ## mitochrondrial ones:
  params <- new("BSParams", X = Celegans, FUN = alphabetFrequency,
  exclude = "M")
  bsapply(params)

  ## Or we can do this same function with simplify = TRUE:
  params <- new("BSParams", X = Celegans, FUN = alphabetFrequency,
  exclude = "M", simplify = TRUE)
  bsapply(params)


  ## Examples to show how we might look for a string (in this case an
  ## ebox motif) across the whole genome.  
  Ebox <- DNAStringSet("CACGTG")
  pdict0 <- PDict(Ebox)

  params <- new("BSParams", X = Celegans, FUN = countPDict, simplify = TRUE)
  bsapply(params, pdict = pdict0)

  params@FUN <- matchPDict
  bsapply(params, pdict = pdict0)

  ## And since its really overkill to use matchPDict to find a single pattern:
  params@FUN <- matchPattern
  bsapply(params, pattern = "CACGTG")


  ## Examples on how to use the masks
  library("BSgenome.Hsapiens.UCSC.hg19.masked")
  genome <- BSgenome.Hsapiens.UCSC.hg19.masked
  ## I can make things verbose if I want to see the chromosomes getting processed.
  options(verbose=TRUE)
  ## For the 1st example, lets use default masks
  params <- new("BSParams", X = genome, FUN = alphabetFrequency,
  exclude = c(1:8,"M","X","random","hap"), simplify = TRUE)
  bsapply(params)

  if (interactive()) {
    ## Set up the motifList to filter out all double T's and all double C's
    params@motifList <-c("TT","CC")
    bsapply(params)

    ## Get rid of the motifList
    params@motifList=as.character()
  }

  ##Enable all standard masks
  params@maskList <- c("RM"=TRUE,"TRF"=TRUE)
  bsapply(params)

  ##Disable all standard masks
  params@maskList <- c("AGAPS"=FALSE,"AMB"=FALSE)
  bsapply(params)

Przemol/mirrors-bioc-BSgenome documentation built on May 8, 2019, 3:46 a.m.