#' Main Rqc function
#'
#' Rqc is an optimized tool designed for quality assessment of high-throughput
#' sequencing data. It performs parallel processing of entire files and
#' produces an HTML report, which contains a set of high-resolution images that
#' can be directly used on publications.
#'
#'
#' @param path directory path that contains input files.
#' @param pattern a regex expression that macthes to input file names
#' @param sample it reads a random sample from files if this parameter is TRUE.
#' @param n number of sequences to read from each input file. This represents
#' sample size if 'sample' parameter is TRUE, if not represents the chunk size
#' to read on each iteration. By default, it reads a sample of one million
#' sequences from each input file.
#' @param group group name for each input file.
#' @param top number of top over-represented reads. Default is 10 reads.
#' @param pair combination of files for paired-end reads. By default, all input
#' files are treated as single-end. For paired-end, please define a vector of
#' numbers where two index with the same value represent a pair. Examples,
#' single-end \code{c(1,2,3,4)} and paired-end \code{c(1,1,2,2)}.
#' @param outdir output directory path. Is created a temporary directory by
#' default.
#' @param file output file name.
#' @param openBrowser if TRUE opens report file on default Internet Browser.
#' @param workers Number of parallel workers. Set 1 to serial. Default value
#' from \code{\link{multicoreWorkers}}.
#' @return A invisible named list of \code{RqcResultSet} objects, each one
#' represents a file.
#' @author Welliton Souza
#' @seealso \code{\link{rqcQA}}
#' @keywords graphics qc
#' @examples
#'
#' options(device.ask.default = FALSE)
#' folder <- system.file(package="ShortRead", "extdata/E-MTAB-1147")
#' rqc(folder, ".fastq.gz", pair=c(1,1), workers=1, openBrowser=FALSE)
#'
#' @export
rqc <- function(path=".", pattern,
sample=TRUE, n=1e6,
group = NULL,
top = 10, pair = NULL,
outdir=tempdir(), file="rqc_report",
openBrowser=TRUE,
workers=multicoreWorkers())
{
files <- list.files(path, pattern, full.names=TRUE)
if (is.null(group)) group <- rep("None", length(files))
if (is.null(pair)) pair <- seq_along(files)
rqcResultSet <- rqcQA(files, sample, n, group, top, pair, workers)
reportFile <- rqcReport(rqcResultSet, outdir, file)
message(sprintf("'%s' has been created.", reportFile))
if (openBrowser) {
browseURL(reportFile)
}
invisible(rqcResultSet)
}
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