This function takes a `gimap_dataset` and creates a QC report
run_qc(
gimap_dataset,
output_file = "./gimap_QC_Report.Rmd",
plots_dir = "./qc_plots",
overwrite = FALSE,
filter_zerocount_target_col = NULL,
filter_plasmid_target_col = NULL,
filter_replicates_target_col = NULL,
...
)
A special dataset structure that is setup using the `setup_data()` function.
default is `QC_Report`; name of the output QC report file
default is `./qc_plots`; directory to save plots created with this function, if it doesn't exist already it will be created
default is FALSE; whether to overwrite the QC Report file
default is NULL; Which sample column(s) should be used to check for counts of 0? If NULL and not specified, downstream analysis will select all sample columns
default is NULL; Which sample columns(s) should be used to look at log2 CPM expression for plasmid pgRNA constructs? If NULL and not specified, downstream analysis will select the first sample column only
default is NULL; Which sample columns are replicates whose variation you'd like to analyze; If NULL, the last 3 sample columns are used
additional parameters are sent to `rmarkdown::render()`
a QC report saved locally
if (FALSE) { # \dontrun{
gimap_dataset <- get_example_data("gimap")
run_qc(gimap_dataset)
} # }