identifySTRRegions,ShortReadQ-method {STRMPS} | R Documentation |
Identify the STR regions of a fastq-file or ShortReadQ-object.
Description
identifySTRRegions
takes a fastq-file location or a ShortReadQ-object and identifies the STR regions
based on a directly adjacent flanking regions.
The function allows for mutation in the flanking regions through the numberOfMutation argument.
Usage
## S4 method for signature 'ShortReadQ'
identifySTRRegions(reads, flankingRegions,
numberOfMutation = 1, control = identifySTRRegions.control())
Arguments
reads |
a ShortReadQ-object |
flankingRegions |
containing marker ID/name, the directly adjacent forward and reverse flanking regions, used for identification. |
numberOfMutation |
the maximum number of mutations (base-calling errors) allowed during flanking region identification. |
control |
an identifySTRRegions.control-object. |
Value
The returned object is a list of lists. If the reverse complement strings are not included or if the control$combineLists == TRUE
,
a list, contains lists of untrimmed and trimmed strings for each row in flankingRegions
. If control$combineLists == FALSE
, the function returns a list of two such lists,
one for forward strings and one for the reverse complement strings.
Examples
library("Biostrings")
library("ShortRead")
# Path to file
readPath <- system.file('extdata', "sampleSequences.fastq", package = 'STRMPS')
# Flanking regions
data("flankingRegions")
# Read the file into memory
readFile <- readFastq(readPath)
sread(readFile)
quality(readFile)
# Identify the STR's of the file, both readPath and readFile can be used.
identifySTRRegions(reads = readFile, flankingRegions = flankingRegions,
numberOfMutation = 1,
control = identifySTRRegions.control(
numberOfThreads = 1,
includeReverseComplement = FALSE)
)