R/scruff.R

Defines functions scruff

Documented in scruff

#' Run scruff pipeline
#'
#' Run the \code{scruff} pipeline. This function performs all
#'  \code{demultiplex}, \code{alignRsubread}, and \code{countUMI} functions.
#'  Write demultiplex statistics, alignment statistics, and UMI filtered count
#'  matrix in output directories. Return a SingleCellExperiment object
#'  containing the count matrix, cell and gene annotations, and all QC metrics.
#'
#' @param project The project name. Default is
#'  \code{paste0("project_", Sys.Date())}.
#' @param experiment A character vector of experiment names. Represents the
#'  group label for each FASTQ file, e.g. "patient1, patient2, ...". The number
#'  of cells in a experiment equals the length of cell barcodes \code{bc}. The
#'  length of \code{experiment} equals the number of FASTQ files to be
#'  processed.
#' @param lane A character or character vector of flow cell lane numbers. If
#'  FASTQ files from multiple lanes are concatenated, any placeholder would be
#'  sufficient, e.g. "L001".
#' @param read1Path A character vector of file paths to the read1 FASTQ files.
#'  These are the read files with UMI and cell barcode information.
#' @param read2Path A character vector of file paths to the read2 FASTQ files.
#'  These read files contain genomic sequences.
#' @param bc A vector of pre-determined cell barcodes. For example, see
#'  \code{?barcodeExample}.
#' @param index Path to the \code{Rsubread} index of the reference genome. For
#'  generation of Rsubread indices, please refer to \code{buildindex} function
#'  in \code{Rsubread} package.
#' @param reference Path to the reference GTF file. The TxDb object of the GTF
#'  file will be generated and saved in the current working directory with
#'  ".sqlite" suffix.
#' @param bcStart Integer or vector of integers containing the cell barcode
#'  start positions (inclusive, one-based numbering).
#' @param bcStop Integer or vector of integers containing the cell barcode
#'  stop positions (inclusive, one-based numbering).
#' @param bcEdit Maximally allowed Hamming distance for barcode correction.
#'  Barcodes with mismatches equal or fewer than this will be assigned a
#'   corrected barcode if the inferred barcode matches uniquely in the provided
#'   predetermined barcode list. Default is 0, meaning no cell barcode
#'   correction is performed.
#' @param umiStart Integer or vector of integers containing the start positions
#'  (inclusive, one-based numbering) of UMI sequences.
#' @param umiStop Integer or vector of integers containing the stop positions
#'  (inclusive, one-based numbering) of UMI sequences.
#' @param umiEdit Maximally allowed Hamming distance for UMI correction. For
#'  read alignments in each gene, by comparing to a more abundant UMI with more
#'  reads, UMIs having fewer reads and with mismatches equal or fewer than
#'  \code{umiEdit} will be assigned a corrected UMI (the UMI with more reads).
#'  Default is 0, meaning no UMI correction is performed. Doing UMI correction
#'  will decrease the number of transcripts per gene.
#' @param keep Read trimming. Read length or number of nucleotides to keep for
#'  read 2 (the read that contains transcript sequence information). Longer
#'  reads will be clipped at 3' end. Shorter reads will not be affected. This
#'  number should be determined based on the sequencing kit that was used in
#'  library preparation step.
#' @param cellPerWell Number of cells per well. Can be an integer (e.g. 1)
#'  indicating the number of cells in each well or an vector with length equal
#'  to the total number of cells in the input alignment files specifying the
#'  number of cells in each file. Default is 1.
#' @param unique Argument passed to \code{align} function in \code{Rsubread}
#'  package. Boolean indicating if only uniquely mapped reads should be
#'  reported. A uniquely mapped read has one single mapping location that has
#'  less mis-matched bases than any other candidate locations. If set to
#'  \strong{FALSE}, multi-mapping reads will be reported in addition to
#'  uniquely mapped reads. Number of alignments reported for each multi-mapping
#'  read is determined by the nBestLocations parameter. Default is
#'  \strong{FALSE}.
#' @param nBestLocations Argument passed to \code{align} function in
#'  \code{Rsubread} package. Numeric value specifying the maximal number of
#'  equally-best mapping locations that will be reported for a multi-mapping
#'  read. 1 by default. The allowed value is between 1 to 16 (inclusive). In
#'  the mapping output, "NH" tag is used to indicate how many alignments are
#'  reported for the read and "HI" tag is used for numbering the alignments
#'  reported for the same read. This argument is only applicable when unique
#'  option is set to \strong{FALSE}.
#' @param minQual Minimally acceptable Phred quality score for cell barcode and
#'  UMI sequences. Phread quality scores are calculated for each nucleotide in
#'  these tags. Tags with at least one nucleotide with score lower than this
#'  will be filtered out. Default is \strong{10}.
#' @param yieldReads The number of reads to yield when drawing successive
#'  subsets from a fastq file, providing the number of successive records to be
#'  returned on each yield. This parameter is passed to the \code{n} argument
#'  of the \code{FastqStreamer} function in \emph{ShortRead} package. Default
#'  is \strong{1e06}.
#' @param alignmentFileFormat File format of sequence alignment results.
#'  \strong{"BAM"} or \strong{"SAM"}. Default is \strong{"BAM"}.
#' @param demultiplexOutDir Output folder path for demultiplex results.
#'  Demultiplexed cell specifc FASTQ files will be stored in folders in this
#'  path, respectively. \strong{Make sure the folder is empty.} Default is
#'  \code{"./Demultiplex"}.
#' @param alignmentOutDir Output directory for alignment results. Sequence
#'  alignment maps will be stored in folders in this directory, respectively.
#'  \strong{Make sure the folder is empty.} Default is \code{"./Alignment"}.
#' @param countUmiOutDir Output directory for UMI counting results. UMI
#'  filtered count matrix will be stored in this directory. Default is
#'  \code{"./Count"}.
#' @param demultiplexSummaryPrefix Prefix for demultiplex summary filename.
#'  Default is \code{"demultiplex"}.
#' @param alignmentSummaryPrefix Prefix for alignment summary filename. Default
#'  is \code{"alignment"}.
#' @param countPrefix Prefix for UMI filtered count matrix filename. Default is
#'  \code{"countUMI"}.
#' @param logfilePrefix Prefix for log file. Default is current date and time
#'  in the format of \code{format(Sys.time(), "\%Y\%m\%d_\%H\%M\%S")}.
#' @param overwrite Boolean indicating whether to overwrite the output
#'  directory. Default is \strong{FALSE}.
#' @param verbose Boolean indicating whether to print log messages. Useful for
#'  debugging. Default to \strong{FALSE}.
#' @param cores Number of cores to use for parallelization. Default is
#'  \code{max(1, parallelly::availableCores() - 2)}, i.e. the number of
#'  available cores minus 2.
#' @param threads \strong{Do not change}. Number of threads/CPUs used for
#'  mapping for each core. Refer to \code{align} function in \code{Rsubread}
#'  for details. Default is \strong{1}. It should not be changed in most cases.
#' @param ... Additional arguments passed to the \code{align} function in
#'  \code{Rsubread} package.
#' @return A \code{SingleCellExperiment} object.
#' @examples
#' \dontrun{
#' # prepare required files
#'
#' data(barcodeExample, package = "scruff")
#' fastqs <- list.files(system.file("extdata", package = "scruff"),
#'     pattern = "\\.fastq\\.gz", full.names = TRUE)
#' fasta <- system.file("extdata", "GRCm38_MT.fa", package = "scruff")
#' gtf <- system.file("extdata", "GRCm38_MT.gtf", package = "scruff")
#'
#' library(Rsubread)
#' # Specify the basename for Rsubread index
#' indexBase <- "GRCm38_MT"
#' # Create index files for GRCm38_MT.
#' buildindex(basename = indexBase, reference = fasta, indexSplit = FALSE)
#'
#' # run scruff pipeline
#' sce <- scruff(project = "example",
#'     experiment = c("1h1"),
#'     lane = c("L001"),
#'     read1Path = c(fastqs[1]),
#'     read2Path = c(fastqs[2]),
#'     bc = barcodeExample,
#'     index = indexBase,
#'     reference = gtf,
#'     bcStart = 1,
#'     bcStop = 8,
#'     umiStart = 9,
#'     umiStop = 12,
#'     keep = 75,
#'     cellPerWell = c(rep(1, 46), 0, 0),
#'     overwrite = TRUE,
#'     verbose = TRUE)
#' }
#'
#' # or use the built-in SingleCellExperiment object generated using
#' # example dataset (see ?sceExample)
#' data(sceExample, package = "scruff")
#' @export
scruff <- function(project = paste0("project_", Sys.Date()),
    experiment,
    lane,
    read1Path,
    read2Path,
    bc,
    index,
    reference,
    bcStart,
    bcStop,
    bcEdit = 0,
    umiStart,
    umiStop,
    umiEdit = 0,
    keep,
    cellPerWell = 1,
    unique = FALSE,
    nBestLocations = 1,
    minQual = 10,
    yieldReads = 1e06,
    alignmentFileFormat = "BAM",
    demultiplexOutDir = "./Demultiplex",
    alignmentOutDir = "./Alignment",
    countUmiOutDir = "./Count",
    demultiplexSummaryPrefix = "demultiplex",
    alignmentSummaryPrefix = "alignment",
    countPrefix = "countUMI",
    logfilePrefix = format(Sys.time(), "%Y%m%d_%H%M%S"),
    overwrite = FALSE,
    verbose = FALSE,
    cores = max(1, parallelly::availableCores() - 2),
    threads = 1,
    ...) {

    # run pipeline
    message(Sys.time(), " Start running scruff ...")
    print(match.call(expand.dots = TRUE))

    de <- demultiplex(
        project = project,
        experiment = experiment,
        lane = lane,
        read1Path = read1Path,
        read2Path = read2Path,
        bc = bc,
        bcStart = bcStart,
        bcStop = bcStop,
        bcEdit = bcEdit,
        umiStart = umiStart,
        umiStop = umiStop,
        keep = keep,
        minQual = minQual,
        yieldReads = yieldReads,
        outDir = demultiplexOutDir,
        summaryPrefix = demultiplexSummaryPrefix,
        overwrite = overwrite,
        verbose = verbose,
        cores = cores,
        logfilePrefix = logfilePrefix
    )

    al <- alignRsubread(
        sce = de,
        index = index,
        unique = unique,
        nBestLocations = nBestLocations,
        format = alignmentFileFormat,
        outDir = alignmentOutDir,
        cores = cores,
        threads = threads,
        summaryPrefix = alignmentSummaryPrefix,
        overwrite = overwrite,
        verbose = verbose,
        logfilePrefix = logfilePrefix,
        ...
    )

    co <- countUMI(
        sce = al,
        reference = reference,
        umiEdit = umiEdit,
        format = alignmentFileFormat,
        outDir = countUmiOutDir,
        cellPerWell = cellPerWell,
        cores = cores,
        outputPrefix = countPrefix,
        verbose = verbose,
        logfilePrefix = logfilePrefix
    )

    message(Sys.time(), " Finished running scruff ...")

    return(co)
}
87875172/Scuff documentation built on July 29, 2024, 8:11 a.m.