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derfinder (version 1.6.4)

railMatrix: Identify regions data by a coverage filter and get a count matrix from BigWig files

Description

Rail (available at http://rail.bio) generates coverage BigWig files. These files are faster to load in R and to process. Rail creates an un-adjusted coverage BigWig file per sample and an adjusted summary coverage BigWig file by chromosome (median or mean). railMatrix reads in the mean (or median) coverage BigWig file and applies a threshold cutoff to identify expressed regions (ERs). Then it goes back to the sample coverage BigWig files and extracts the base level coverage for each sample. Finally it summarizes this information in a matrix with one row per ERs and one column per sample. This function is similar to regionMatrix but is faster thanks to the advantages presented by BigWig files. Given a set of un-filtered coverage data (see fullCoverage), create candidate regions by applying a cutoff on the coverage values, and obtain a count matrix where the number of rows corresponds to the number of candidate regions and the number of columns corresponds to the number of samples. The values are the mean coverage for a given sample for a given region.

Usage

railMatrix(chrs, summaryFiles, sampleFiles, L, cutoff = NULL,
  maxClusterGap = 300L, totalMapped = NULL, targetSize = 4e+07,
  file.cores = 1L, chrlens = NULL, ...)

Arguments

chrs
A character vector with the names of the chromosomes.
summaryFiles
A character vector (or BigWigFileList) with the paths to the summary BigWig files created by Rail. Either mean or median files. These are library size adjusted by default in Rail. The order of the files in this vector must match the order in chrs.
sampleFiles
A character vector with the paths to the BigWig files by sample. These files are unadjusted for library size.
L
The width of the reads used. Either a vector of length 1 or length equal to the number of samples.
cutoff
The base-pair level cutoff to use. It's behavior is controlled by filter.
maxClusterGap
This determines the maximum gap between candidate ERs.
totalMapped
The total number of reads mapped for each sample. Providing this data adjusts the coverage to reads in targetSize library prior to filtering.
targetSize
The target library size to adjust the coverage to. Used only when totalMapped is specified. By default, it adjusts to libraries with 40 million reads, which matches the default used in Rail.
file.cores
Number of cores used for loading the BigWig files per chr.
chrlens
The chromosome lengths in base pairs. If it's NULL, the chromosome length is extracted from the BAM files. Otherwise, it should have the same length as chrs.
...
Arguments passed to other methods and/or advanced arguments.

Value

  • A list with one entry per chromosome. Then per chromosome, a list with two components. [object Object],[object Object]

Details

This function uses several other derfinder-package functions. Inspect the code if interested.

You should use at most one core per chromosome.

Examples

Run this code
## BigWig files are not supported in Windows
if(.Platform$OS.type != 'windows') {
    ## Get data
    library('derfinderData')
    
    ## Identify sample files
    sampleFiles <- rawFiles(system.file('extdata', 'AMY', package = 
        'derfinderData'), samplepatt = 'bw', fileterm = NULL)
    names(sampleFiles) <- gsub('.bw', '', names(sampleFiles))
    
    ## Create the mean bigwig file. This file is normally created by Rail
    ## but in this example we'll create it manually.
    library('GenomicRanges')
    fullCov <- fullCoverage(files = sampleFiles, chrs = 'chr21')
    meanCov <- Reduce('+', fullCov$chr21) / ncol(fullCov$chr21)
    createBw(list('chr21' = DataFrame('meanChr21' = meanCov)), keepGR = 
        FALSE)
    
    summaryFile <- 'meanChr21.bw'
    
    ## Get the regions
    regionMat <- railMatrix(chrs = 'chr21', summaryFiles = summaryFile, 
        sampleFiles = sampleFiles, L = 76, cutoff = 5, maxClusterGap = 3000L)
    
    ## Explore results
    names(regionMat$chr21)
    regionMat$chr21$regions
    dim(regionMat$chr21$coverageMatrix)
}

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