Prepare reads for primer trimming using Cutadapt

Usage

prepare_reads(
  data_directory = "data",
  output_directory = "output",
  tempdir_path = NULL,
  tempdir_id = "demulticoder_run",
  overwrite_existing = FALSE
)

Arguments

data_directory: Directory path where the user has placed raw FASTQ (forward and reverse reads), metadata.csv, and primerinfo_params.csv files. Default is "data".
output_directory: User-specified directory for outputs. Default is "output".
tempdir_path: Path to a temporary directory. If NULL, a temporary directory path will be identified using the tempdir() command.
tempdir_id: ID for temporary directories. The user can provide any helpful ID, whether it be a date or specific name for the run. Default is "demulticoder_run"
overwrite_existing: Logical, indicating whether to remove or overwrite existing files and directories from previous runs. Default is FALSE.

Value

A list containing data tables, including metadata, primer sequences to search for based on orientation, paths for trimming reads, and user-defined parameters for all subsequent steps.

Examples

if (FALSE) { # \dontrun{
# Pre-filter raw reads and parse metadata and primer_information to prepare 
# for primer trimming and filter
analysis_setup <- prepare_reads(
  data_directory = system.file("extdata", package = "demulticoder"),
  output_directory = tempdir(),
  tempdir_path = tempdir(),
  tempdir_id = "demulticoder_run_temp",
  overwrite_existing = TRUE
)
} # }