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#' Will run all functions in the qckitfastq suite and save the data frames
#' and plots to a user-provided directory. Plot names are supplied by default.
#'
#' @param infile Path to gzipped FASTQ file
#' @param dir Directory to save results to
#' @return Generate files from all functions
#' @examples
#' infile <- system.file("extdata", "test.fq.gz",
#' package = "qckitfastq")
#' testfolder <- tempdir()
#' run_all(infile, testfolder)
#' @importFrom utils head
#' @export
run_all<- function(infile,dir){
fseq <- seqTools::fastqq(infile)
read_len <- read_length(fseq, output_file=file.path(dir,"read_length.csv"))
plot_read_length(read_len,output_file=file.path(dir,"read_length.png"))
#extract per base quality score statistics
bs <- per_base_quality(infile,output_file=file.path(dir,"per_base_quality.csv"))
plot_per_base_quality(bs,output_file=file.path(dir,"per_base_quality.png"))
#extract per base sequence content percentage
rc <- read_content(fseq,output_file=file.path(dir,"read_content.csv"))
plot_read_content(rc,output_file=file.path(dir,"read_content.png"))
#extract GC content per read
gc_df <- GC_content(infile,output_file=file.path(dir,"gc_content.csv"))
gc_plot<- plot_GC_content(gc_df,output_file=file.path(dir,"gc_content.png"))
#Per read sequence quality score
prq <- per_read_quality(infile,output_file=file.path(dir,"per_read_quality.csv"))
plot_per_read_quality(prq,output_file=file.path(dir,"per_read_quality.png"))
# kmer count (DOES NOT HAVE PLOT)
km <- kmer_count(infile,k=6,output_file=file.path(dir,"kmer_count.csv"))
# overrep kmers
overkm <-overrep_kmer(infile,7,output_file=file.path(dir,"overrep_kmer.csv"))
plot_overrep_kmer(overkm,output_file=file.path(dir,"overrep_kmer.png"))
#overrep reads
overrep_reads <- overrep_reads(infile,output_file=file.path(dir,"overrep_reads.csv"))
plot_overrep_reads(overrep_reads,output_file=file.path(dir,"overrep_reads.png"))
# adapter content
if(.Platform$OS.type != "windows") {
ac_sorted <- adapter_content(infile,output_file=file.path(dir,"adapter_content.csv"))
plot_adapter_content(ac_sorted,output_file=file.path(dir,"adapter_content.png"))
}
else { print("adapter_content not available for Windows; skipping") }
}
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