View source: R/dada_wrappers.R
qualityFilter16S | R Documentation |
Applies a quality filter to 16S sequence fastq files via the filterAndTrim
function.
It is assumed that both forward- and reverse-read files are included.
qualityFilter16S(
fn,
in_subdir,
out_subdir,
meta,
in_explicitdir = NULL,
out_explicitdir = NULL,
multithread = FALSE,
verbose = FALSE,
trunc_qscore = 23,
...
)
fn |
Base names of input fastq files. If inputs are not base names (i.e. if they include directory paths), the directory paths will be removed. Files that do not exist will be ignored; however, if all files do not exist, this function will issue a warning. |
in_subdir |
Subdirectory name from which to retrieve input fastq files. Enter "raw" for raw sequence files, or any other character string to specify a subdirectory within |
out_subdir |
Subdirectory name where output fastq files will be written. Enter any character string to specify a subdirectory within |
meta |
The output of |
in_explicitdir , out_explicitdir |
Directory names to use instead of 'in_subdir' and 'out_subdir', if static directory names or directories outside of |
multithread |
Default FALSE. Whether to use multithreading. Note that Windows does not support multithreading in this function because it uses mclapply, so this argument must be set to FALSE on Windows systems. |
verbose |
Default FALSE. Whether to print messages associated with automated selection of truncation length (truncLen). |
trunc_qscore |
Default 23. If truncLen is not provided, specifies the mean quality score at which point to truncate each read. The behavior of this argument has not been extensively tested, so it is generally recommended that truncLen be used instead. |
... |
Other arguments to be passed to |
(Invisibly) Two-column matrix displaying the number of reads in input vs. output for each file.
filterAndTrim
{
fl_nm <- c("BMI_Plate37WellA12_16S_BJ8RK_R1.fastq.gz", "BMI_Plate37WellA12_16S_BJ8RK_R2.fastq.gz")
filter_trackReads <- qualityFilter16S(
fl_nm, in_subdir = "1_trimmed", out_subdir = "2_filtered",
meta = seqmeta_greatplains_16s, truncLen = c(250, 230), maxEE = c(2, 8),
multithread = TRUE # set multithread = FALSE on Windows computers though
)
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