Description Usage Arguments Value Examples
Calculates the smoothed tag density using spp::get.smoothed.tag.density
tagDensity
1  | tagDensity(data, tag.shift, annotationID = "hg19", mc = 1)
 | 
data,  | 
 data-structure with tag information (see readBamFile())  | 
tag.shift,  | 
 Integer containing the value of the tag shif, calculated by getCrossCorrelationScores()  | 
annotationID | 
 String, indicating the genome assembly (Default="hg19")  | 
mc | 
 Integer, the number of CPUs for parallelization (default=1)  | 
smoothed.density A list of lists, each list corresponds to a chromosome and contains a vector of coordinates of the 5' ends of the aligned tags
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42  | ## This command is time intensive to run
##
## To run the example code the user must provide two bam files for the ChIP
## and the input and read them with the readBamFile() function. To make it
## easier for the user to run the example code we provide tow bam examples 
## (chip and input) in our ChIC.data package that have already been loaded 
## with the readBamFile() function.
mc=4
finalTagShift=98
## Not run: 
filepath=tempdir()
setwd(filepath)
data("chipSubset", package = "ChIC.data", envir = environment())
chipBam=chipSubset
data("inputSubset", package = "ChIC.data", envir = environment())
inputBam=inputSubset
chip_binding.characteristics<-spp::get.binding.characteristics(
    chipBam, srange=c(0,500), bin=5,accept.all.tags=TRUE)
input_binding.characteristics<-spp::get.binding.characteristics(
    inputBam, srange=c(0,500), bin=5,accept.all.tags=TRUE)
##get chromosome information and order chip and input by it
chrl_final=intersect(names(chipBam$tags),names(inputBam$tags))
chipBam$tags=chipBam$tags[chrl_final]
chipBam$quality=chipBam$quality[chrl_final]
inputBam$tags=inputBam$tags[chrl_final]
inputBam$quality=inputBam$quality[chrl_final]
##remove sigular positions with extremely high read counts with 
##respect to the neighbourhood
selectedTags=removeLocalTagAnomalies(chipBam, inputBam, 
chip_binding.characteristics, input_binding.characteristics)
chipBamSelected=selectedTags$chip.dataSelected
smoothedChip=tagDensity(chipBamSelected, tag.shift=finalTagShift)
## End(Not run)
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