calcCounts: Creating the raw count matrix

In MDTS: Detection of de novo deletion in targeted sequencing trios

Description

This function will return a matrix of read counts where ecah column is a sample, and each row is a bin.

Usage

calcCounts(metaData, bins, rl, mc.cores = 1)

Arguments

metaData	A table in the format of the output of getMetaData().
bins	The set of bins determined by calcBins().
rl	The read length of the experiment.
mc.cores	The number of cores to use for multi-threaded analysis. Defaults to 1.

Value

A data.frame that contains the counts for each sample in the metaData input that fall into each segment of bins.

Examples

## Not run: 
pD <- getMetaData(
'https://raw.githubusercontent.com/JMF47/MDTSData/master/data/pD.ped')
genome = BSgenome.Hsapiens.UCSC.hg19
map_file <- 
"https://raw.githubusercontent.com/JMF47/MDTSData/master/data/chr1.map.bw"
bins = calcBins(pD, n=5, rl=100, med=150, min=5, genome, map_file)

## End(Not run)
load(system.file("extdata", 'bins.RData', package = "MDTS"))
load(system.file("extdata", 'counts.RData', package = "MDTS"))
counts

MDTS documentation built on Nov. 8, 2020, 6:23 p.m.