View source: R/quality_report.R
quality_report | R Documentation |
This function uses the other functions already described to create a HTML report based on sequencing quality. Besides the HTML reports, it also creates fasta files with all the sequences and individualized sequences, in addition to a csv file with the quality scores and sequences considered as good quality.
quality_report(
folder_sequences = "path/to/sanger_sequences",
outputfile = "QC_report.html",
output_dir = "test/",
processors = NULL,
folder_path_fcs = NULL,
plot_chromatogram = FALSE,
raw_length = 343,
trim_start = 65,
trim_finish = 400,
trimmed_mean_quality = 30,
compensation = TRUE,
plate_wells = "96",
probe1 = "Pre.F",
probe2 = "Post.F",
posvalue_probe1 = 600,
posvalue_probe2 = 400,
cdr3_start = 100,
cdr3_end = 150
)
folder_sequences |
Full file directory for searching all ab1 files in a recursive search method. It includes all files in subfolders |
outputfile |
Output file name for the report generation |
output_dir |
Output directory for all the different output files that are generated during the report |
processors |
Number of processors to use, you can set to NULL to detect automatically all available processors |
folder_path_fcs |
Full file directory for searching all flow cytometry index files, files with .fcs extensions, in a recursive search method |
plot_chromatogram |
Logical argument, TRUE or FALSE, to indicate if chromatograms should be plotted or not. Default is FALSE |
raw_length |
Minimum sequence length for filtering. Default is 343 for B cell receptors |
trim_start |
Starting position where the sequence should start to have a good base call accuracy. Default is 65 for B cell receptors |
trim_finish |
Last position where the sequence should have a good base call accuracy. Default is 400 for B cell receptors |
trimmed_mean_quality |
Minimum Phred quality score expected for an average sequence. Default is 30, which means average of 99.9% base call accuracy |
compensation |
Logical argument, TRUE or FALSE, to indicate if the index files were compensated or not. If TRUE, it will apply its compensation prior assigning specificities |
plate_wells |
Type of plate used for single-cell sorting. eg. "96" or "384" |
probe1 |
Name of the first channel used for the probe or the custom name assigned to the channel in the index file. eg. "FSC.A", "FSC.H", "SSC.A","DsRed.A", "PE.Cy5_5.A", "PE.Cy7.A","BV650.A", "BV711.A","Alexa.Fluor.700.A" "APC.Cy7.A","PerCP.Cy5.5.A","Time" |
probe2 |
Name of the second channel used for the probe or the custom name assigned to the channel in the index file. eg. "FSC.A", "FSC.H", "SSC.A","DsRed.A", "PE.Cy5_5.A", "PE.Cy7.A","BV650.A", "BV711.A","Alexa.Fluor.700.A" "APC.Cy7.A","PerCP.Cy5.5.A","Time" |
posvalue_probe1 |
Threshold used for fluorescence intensities to be considered as positive for the first probe |
posvalue_probe2 |
Threshold used for fluorescence intensities to be considered as positive for the second probe |
cdr3_start |
Expected CDR3 starting position, that depends on your primer set. Default is position 100 |
cdr3_end |
Expected CDR3 end position, that depends on your primer set. Default is position 150 |
Saves HTML reports, fasta files, csv files
quality_report(
folder_sequences = system.file("extdata/sorted_sangerseq",
package = "scifer"),
outputfile = "QC-report.html",
# output to a temporary directory
output_dir = tempdir(),
folder_path_fcs = system.file("/extdata/fcs_index_sorting",
package = "scifer"),
processors = 1, compensation = TRUE, plate_wells = "96",
probe1 = "Pre.F", probe2 = "Post.F",
posvalue_probe1 = 600, posvalue_probe2 = 400,
cdr3_start = 100,
cdr3_end = 150
)
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