OpenSwathWorkflow

Complete workflow to run OpenSWATH

This implements the OpenSWATH workflow as described in Rost and Rosenberger et al. (Nature Biotechnology, 2014) and provides a complete, integrated analysis tool without the need to run multiple tools consecutively. See also http://openswath.org/ for additional documentation.

It executes the following steps in order, which is implemented in OpenSwathWorkflow:

• Reading of input files, which can be provided as one single mzML or multiple "split" mzMLs (one per SWATH)
• Computing the retention time transformation using RT-normalization peptides
• Reading of the transition list
• Extracting the specified transitions
• Scoring the peak groups in the extracted ion chromatograms (XIC)
• Reporting the peak groups and the chromatograms

See below or have a look at the INI file (via "OpenSwathWorkflow -write_ini myini.ini") for available parameters and more functionality.

Input: SWATH maps and assay library (transition list)

SWATH maps can be provided as mzML files, either as single file directly from the machine (this assumes that the SWATH method has 1 MS1 and then n MS2 spectra which are ordered the same way for each cycle). E.g. a valid method would be MS1, MS2 [400-425], MS2 [425-450], MS1, MS2 [400-425], MS2 [425-450] while an invalid method would be MS1, MS2 [400-425], MS2 [425-450], MS1, MS2 [425-450], MS2 [400-425] where MS2 [xx-yy] indicates an MS2 scan with an isolation window starting at xx and ending at yy. OpenSwathWorkflow will try to read the SWATH windows from the data, if this is not possible please provide a tab-separated list with the correct windows using the -swath_windows_file parameter (this is recommended). Note that the software expects extraction windows (e.g. which peptides to extract from which window) which cannot have overlaps, otherwise peptides will be extracted from two different windows.

Alternatively, a set of split files (n+1 mzML files) can be provided, each containing one SWATH map (or MS1 map).

Since the file size can become rather large, it is recommended to not load the whole file into memory but rather cache it somewhere on the disk using a fast-access data format. This can be specified using the -readOptions cache parameter (this is recommended!).

The assay library (transition list) is provided through the -tr parameter and can be in one of the following formats:

• TraML
• OpenSWATH TSV transition lists
• OpenSWATH PQP SQLite files
• SpectraST MRM transition lists
• Skyline transition lists
• Spectronaut transition lists

Parameters

The current parameters are optimized for 2 hour gradients on SCIEX 5600 / 6600 TripleTOF instruments with a peak width of around 30 seconds using iRT peptides. If your chromatography differs, please consider adjusting -Scoring:TransitionGroupPicker:min_peak_width to allow for smaller or larger peaks and adjust the -rt_extraction_window to use a different extraction window for the retention time. In m/z domain, consider adjusting -mz_extraction_window to your instrument resolution, which can be in Th or ppm.

Furthermore, if you wish to use MS1 information, use the -use_ms1_traces flag and provide an MS1 map in addition to the SWATH data.

If you encounter issues with peak picking, try to disable peak filtering by setting -Scoring:TransitionGroupPicker:compute_peak_quality false which will disable the filtering of peaks by chromatographic quality. Furthermore, you can adjust the smoothing parameters for the peak picking, by adjusting -Scoring:TransitionGroupPicker:PeakPickerChromatogram:sgolay_frame_length or using a Gaussian smoothing based on your estimated peak width. Adjusting the signal to noise threshold will make the peaks wider or smaller.

Output: Feature list and chromatograms

The output of the OpenSwathWorkflow is a feature list, either as FeatureXML or as tsv (use -out_features or -out_tsv) while the latter is more memory friendly and can be directly used as input to other tools such as mProphet or pyProphet. If you analyze large datasets, it is recommended to only use -out_tsv and not -out_features. For downstream analysis (e.g. using mProphet or pyProphet) also the -out_tsv format is recommended.

The feature list generated by -out_tsv is a tab-separated file. It can be used directly as input to the mProphet or pyProphet (a Python re-implementation of mProphet) software tool, see Reiter et al (2011, Nature Methods).

In addition, the extracted chromatograms can be written out using the -out_chrom parameter.

Feature list output format

The tab-separated feature output contains the following information:

Header row	Format	Description
transition_group_id	String	A unique id for the transition group (all chromatographic traces that are analyzed together)
peptide_group_label	String	A unique id for the peptide group (will be the same for each charge state and heavy/light status)
run_id	String	An identifier for the run (currently always 0)
filename	String	The input filename
RT	Float	Peak group retention time
id	String	A unique identifier for the peak group
Sequence	String	Peptide sequence (no modifications)
MC	Int	Missed cleavages of the sequence (assuming Trypsin as protease)
FullPeptideName	String	Full peptide sequence including modifications in Unimod format
Charge	Int	Assumed charge state
m/z	Float	Precursor m/z
masserror_ppm	Float List	Pairs of fragment masses (m/z) and their associated error in ppm for all transitions
Intensity	Float	Peak group intensity (sum of all transitions)
ProteinName	String	Name of the associated protein
decoy	String	Whether the transition is decoy or not (0 = false, 1 = true)
assay_rt	Float	The expected RT in seconds (based on normalized iRT value)
delta_rt	Float	The difference between the expected RT and the peak group RT in seconds
leftWidth	Float	The start of the peak group (left side) in seconds
main_var_xx_swath_prelim_score	Float	Initial score
norm_RT	Float	The peak group retention time in normalized (iRT) space
nr_peaks	Int	The number of transitions used
peak_apices_sum	Float	The sum of all peak apices (may be used as alternative intensity)
potentialOutlier	String	Potential outlier transitions (or "none" if none was detected)
rightWidth	Float	The end of the peak group (left side) in seconds
rt_score	Float	The raw RT score (unnormalized)
sn_ratio	Float	The raw S/N ratio
total_xic	Float	The total XIC of the chromatogram
var_...	Float	One of multiple sub-scores used by OpenSWATH to describe the peak group
aggr_prec_Peak_Area	String	Intensity (peak area) of MS1 traces separated by semicolon
aggr_prec_Peak_Apex	String	Intensity (peak apex) of MS1 traces separated by semicolon
aggr_prec_Fragment_Annotation	String	Annotation of MS1 traces separated by semicolon
aggr_Peak_Area	String	Intensity (peak area) of fragment ion traces separated by semicolon
aggr_Peak_Apex	String	Intensity (peak apex) of fragment ion traces separated by semicolon
aggr_Fragment_Annotation	String	Annotation of fragment ion traces separated by semicolon

Execution flow:

The overall execution flow for this tool is implemented in OpenSwathWorkflow.

The command line parameters of this tool are:

stty: 'standard input': Inappropriate ioctl for device

OpenSwathWorkflow -- Complete workflow to run OpenSWATH
Full documentation: http://www.openms.de/doxygen/nightly/html/TOPP_OpenSwathWorkflow.html
Version: 3.4.0-pre-nightly-2024-12-16 Dec 17 2024, 02:41:12, Revision: 96ad74c
To cite OpenMS:
 + Pfeuffer, J., Bielow, C., Wein, S. et al.. OpenMS 3 enables reproducible analysis of large-scale mass spectrometry data. Nat Methods (2024). doi:10.1038/s41592-024-02197-7.

Usage:
  OpenSwathWorkflow <options>

This tool has algorithm parameters that are not shown here! Please check the ini file for a detailed description or use the --helphelp option

Options (mandatory options marked with '*'):
  -in <files>*                        Input files separated by blank (valid formats: 'mzML', 'mzXML', 'sqMass')
  -tr <file>*                         Transition file ('TraML','tsv','pqp') (valid formats: 'traML', 'tsv', 'pqp')
  -tr_type <type>                     Input file type -- default: determined from file extension or content
                                       (valid: 'traML', 'tsv', 'pqp')
  -tr_irt <file>                      Transition file ('TraML') (valid formats: 'traML', 'tsv', 'pqp')
  -tr_irt_nonlinear <file>            Additional nonlinear transition file ('TraML') (valid formats: 'traML', 'tsv', 'pqp')
  -swath_windows_file <file>          Optional, tab-separated file containing the SWATH windows for extraction: lower_offset upper_offset. Note that the first line is a header and will be skipped.
  -out_features <file>                Output file (valid formats: 'featureXML')
  -out_tsv <file>                     TSV output file (mProphet-compatible TSV file) (valid formats: 'tsv')
  -out_osw <file>                     OSW output file (PyProphet-compatible SQLite file) (valid formats: 'osw')
  -pasef                              Data is PASEF data
  -rt_extraction_window <double>      Only extract RT around this value (-1 means extract over the whole range, a value of 600 means to extract around +/- 300 s of the expected elution). (default: '600.0')
  -ion_mobility_window <double>       Extraction window in ion mobility dimension (in 1/k0 or milliseconds depending on library). This is the full window size, e.g. a value of 10 milliseconds would extract 5 milliseconds on either side. -1 means extract over the whole range or ion mobility is not present. (Default for diaPASEF data: 0.06 1/k0) (default: '-1.0')
  -mz_extraction_window <double>      Extraction window in Thomson or ppm (see mz_extraction_window_unit) (default: '50.0') (min: '0.0')
  -mz_extraction_window_ms1 <double>  Extraction window used in MS1 in Thomson or ppm (see mz_extraction_window_ms1_unit) (default: '50.0') (min: '0.0')
  -im_extraction_window_ms1 <double>  Extraction window in ion mobility dimension for MS1 (in 1/k0 or milliseconds depending on library). -1 means this is not ion mobility data. (default: '-1.0')

Debugging:
  -Debugging:irt_mzml <file>          Chromatogram mzML containing the iRT peptides (valid formats: 'mzML')
  -Debugging:irt_trafo <file>         Transformation file for RT transform (valid formats: 'trafoXML')

                                      
Common TOPP options:
  -ini <file>                         Use the given TOPP INI file
  -threads <n>                        Sets the number of threads allowed to be used by the TOPP tool (default: '1')
  -write_ini <file>                   Writes the default configuration file
  --help                              Shows options
  --helphelp                          Shows all options (including advanced)

The following configuration subsections are valid:
 - Calibration       Parameters for the m/z and ion mobility calibration.
 - Library           Library parameters section
 - RTNormalization   Parameters for the RTNormalization for iRT petides. This specifies how the RT alignment is performed and how outlier detection is applied. Outlier detection can be done iteratively (by default) which removes one outlier per iteration or using the RANSAC algorithm.
 - Scoring           Scoring parameters section

You can write an example INI file using the '-write_ini' option.
Documentation of subsection parameters can be found in the doxygen documentation or the INIFileEditor.
For more information, please consult the online documentation for this tool:
  - http://www.openms.de/doxygen/nightly/html/TOPP_OpenSwathWorkflow.html

INI file documentation of this tool:

Legend:

required parameter

advanced parameter

+OpenSwathWorkflowComplete workflow to run OpenSWATH

version3.4.0-pre-nightly-2024-12-16 Version of the tool that generated this parameters file.

++1Instance '1' section for 'OpenSwathWorkflow'

in[] Input files separated by blankinput file*.mzML, *.mzXML, *.sqMass

tr transition file ('TraML','tsv','pqp')input file*.traML, *.tsv, *.pqp

tr_type input file type -- default: determined from file extension or content
traML, tsv, pqp

tr_irt transition file ('TraML')input file*.traML, *.tsv, *.pqp

tr_irt_nonlinear additional nonlinear transition file ('TraML')input file*.traML, *.tsv, *.pqp

rt_norm RT normalization file (how to map the RTs of this run to the ones stored in the library). If set, tr_irt may be omitted.input file*.trafoXML

swath_windows_file Optional, tab-separated file containing the SWATH windows for extraction: lower_offset upper_offset. Note that the first line is a header and will be skipped.input file

sort_swath_mapsfalse Sort input SWATH files when matching to SWATH windows from swath_windows_filetrue, false

enable_ms1true Extract the precursor ion trace(s) and use for scoring if presenttrue, false

enable_ipftrue Enable additional scoring of identification assays using IPF (see online documentation)true, false

out_features output fileoutput file*.featureXML

out_tsv TSV output file (mProphet-compatible TSV file)output file*.tsv

out_osw OSW output file (PyProphet-compatible SQLite file)output file*.osw

out_chrom Also output all computed chromatograms output in mzML (chrom.mzML) or sqMass (SQLite format)output file*.mzML, *.sqMass

out_qc Optional QC meta data (charge distribution in MS1). Only works with mzML input files.output file*.json

min_upper_edge_dist0.0 Minimal distance to the upper edge of a Swath window to still consider a precursor, in Thomson

paseffalse data is PASEF datatrue, false

rt_extraction_window600.0 Only extract RT around this value (-1 means extract over the whole range, a value of 600 means to extract around +/- 300 s of the expected elution).

extra_rt_extraction_window0.0 Output an XIC with a RT-window by this much larger (e.g. to visually inspect a larger area of the chromatogram)0.0:∞

ion_mobility_window-1.0 Extraction window in ion mobility dimension (in 1/k0 or milliseconds depending on library). This is the full window size, e.g. a value of 10 milliseconds would extract 5 milliseconds on either side. -1 means extract over the whole range or ion mobility is not present. (Default for diaPASEF data: 0.06 1/k0)

mz_extraction_window50.0 Extraction window in Thomson or ppm (see mz_extraction_window_unit)0.0:∞

mz_extraction_window_unitppm Unit for mz extractionTh, ppm

mz_extraction_window_ms150.0 Extraction window used in MS1 in Thomson or ppm (see mz_extraction_window_ms1_unit)0.0:∞

mz_extraction_window_ms1_unitppm Unit of the MS1 m/z extraction windowppm, Th

im_extraction_window_ms1-1.0 Extraction window in ion mobility dimension for MS1 (in 1/k0 or milliseconds depending on library). -1 means this is not ion mobility data.

use_ms1_ion_mobilitytrue Also perform precursor extraction using the same ion mobility window as for fragment ion extractiontrue, false

matching_window_onlyfalse Assume the input data is targeted / PRM-like data with potentially overlapping DIA windows. Will only attempt to extract each assay from the *best* matching DIA window (instead of all matching windows).true, false

irt_mz_extraction_window50.0 Extraction window used for iRT and m/z correction in Thomson or ppm (see irt_mz_extraction_window_unit)0.0:∞

irt_mz_extraction_window_unitppm Unit for mz extractionTh, ppm

irt_im_extraction_window-1.0 Ion mobility extraction window used for iRT (in 1/K0 or milliseconds depending on library). -1 means do not perform ion mobility calibration

min_rsq0.95 Minimum r-squared of RT peptides regression

min_coverage0.6 Minimum relative amount of RT peptides to keep

split_file_inputfalse The input files each contain one single SWATH (alternatively: all SWATH are in separate files)true, false

use_elution_model_scorefalse Turn on elution model score (EMG fit to peak)true, false

readOptionsnormal Whether to run OpenSWATH directly on the input data, cache data to disk first or to perform a datareduction step first. If you choose cache, make sure to also set tempDirectorynormal, cache, cacheWorkingInMemory, workingInMemory

mz_correction_functionnone Use the retention time normalization peptide MS2 masses to perform a mass correction (linear, weighted by intensity linear or quadratic) of all spectra.none, regression_delta_ppm, unweighted_regression, weighted_regression, quadratic_regression, weighted_quadratic_regression, weighted_quadratic_regression_delta_ppm, quadratic_regression_delta_ppm

tempDirectory/tmp Temporary directory to store cached files for example

extraction_functiontophat Function used to extract the signaltophat, bartlett

batchSize1000 The batch size of chromatograms to process (0 means to only have one batch, sensible values are around 250-1000)0:∞

outer_loop_threads-1 How many threads should be used for the outer loop (-1 use all threads, use 4 to analyze 4 SWATH windows in memory at once).

ms1_isotopes3 The number of MS1 isotopes used for extraction0:∞

log Name of log file (created only when specified)

debug0 Sets the debug level

threads1 Sets the number of threads allowed to be used by the TOPP tool

no_progressfalse Disables progress logging to command linetrue, false

forcefalse Overrides tool-specific checkstrue, false

testfalse Enables the test mode (needed for internal use only)true, false

+++DebuggingDebugging

irt_mzml Chromatogram mzML containing the iRT peptidesoutput file*.mzML

irt_trafo Transformation file for RT transformoutput file*.trafoXML

+++CalibrationParameters for the m/z and ion mobility calibration.

ms1_im_calibrationfalse Whether to use MS1 precursor data for the ion mobility calibration (default = false, uses MS2 / fragment ions for calibration)true, false

im_correction_functionlinear Type of normalization function for IM calibration.none, linear

debug_im_file Debug file for Ion Mobility calibration.

debug_mz_file Debug file for m/z calibration.

+++LibraryLibrary parameters section

retentionTimeInterpretationiRT How to interpret the provided retention time (the retention time column can either be interpreted to be in iRT, minutes or seconds)iRT, seconds, minutes

override_group_label_checkfalse Override an internal check that assures that all members of the same PeptideGroupLabel have the same PeptideSequence (this ensures that only different isotopic forms of the same peptide can be grouped together in the same label group). Only turn this off if you know what you are doing.true, false

force_invalid_modsfalse Force reading even if invalid modifications are encountered (OpenMS may not recognize the modification)true, false

+++RTNormalizationParameters for the RTNormalization for iRT petides. This specifies how the RT alignment is performed and how outlier detection is applied. Outlier detection can be done iteratively (by default) which removes one outlier per iteration or using the RANSAC algorithm.

alignmentMethodlinear How to perform the alignment to the normalized RT space using anchor points. 'linear': perform linear regression (for few anchor points). 'interpolated': Interpolate between anchor points (for few, noise-free anchor points). 'lowess' Use local regression (for many, noisy anchor points). 'b_spline' use b splines for smoothing.linear, interpolated, lowess, b_spline

outlierMethoditer_residual Which outlier detection method to use (valid: 'iter_residual', 'iter_jackknife', 'ransac', 'none'). Iterative methods remove one outlier at a time. Jackknife approach optimizes for maximum r-squared improvement while 'iter_residual' removes the datapoint with the largest residual error (removal by residual is computationally cheaper, use this with lots of peptides).iter_residual, iter_jackknife, ransac, none

useIterativeChauvenetfalse Whether to use Chauvenet's criterion when using iterative methods. This should be used if the algorithm removes too many datapoints but it may lead to true outliers being retained.true, false

RANSACMaxIterations1000 Maximum iterations for the RANSAC outlier detection algorithm.

RANSACMaxPercentRTThreshold3 Maximum threshold in RT dimension for the RANSAC outlier detection algorithm (in percent of the total gradient). Default is set to 3% which is around +/- 4 minutes on a 120 gradient.

RANSACSamplingSize10 Sampling size of data points per iteration for the RANSAC outlier detection algorithm.

estimateBestPeptidesfalse Whether the algorithms should try to choose the best peptides based on their peak shape for normalization. Use this option you do not expect all your peptides to be detected in a sample and too many 'bad' peptides enter the outlier removal step (e.g. due to them being endogenous peptides or using a less curated list of peptides).true, false

InitialQualityCutoff0.5 The initial overall quality cutoff for a peak to be scored (range ca. -2 to 2)

OverallQualityCutoff5.5 The overall quality cutoff for a peak to go into the retention time estimation (range ca. 0 to 10)

NrRTBins10 Number of RT bins to use to compute coverage. This option should be used to ensure that there is a complete coverage of the RT space (this should detect cases where only a part of the RT gradient is actually covered by normalization peptides)

MinPeptidesPerBin1 Minimal number of peptides that are required for a bin to counted as 'covered'

MinBinsFilled8 Minimal number of bins required to be covered

++++lowess

span0.05 Span parameter for lowess0.0:1.0

++++b_spline

num_nodes5 Number of nodes for b spline0:∞

+++ScoringScoring parameters section

stop_report_after_feature5 Stop reporting after feature (ordered by quality; -1 means do not stop).

rt_normalization_factor100.0 The normalized RT is expected to be between 0 and 1. If your normalized RT has a different range, pass this here (e.g. it goes from 0 to 100, set this value to 100)

quantification_cutoff0.0 Cutoff in m/z below which peaks should not be used for quantification any more0.0:∞

write_convex_hullfalse Whether to write out all points of all features into the featureXMLtrue, false

spectrum_addition_methodsimple For spectrum addition, either use simple concatenation or use peak resamplingsimple, resample

add_up_spectra1 Add up spectra around the peak apex (needs to be a non-even integer)1:∞

spacing_for_spectra_resampling5.0e-03 If spectra are to be added, use this spacing to add them up0.0:∞

uis_threshold_sn-1 S/N threshold to consider identification transition (set to -1 to consider all)

uis_threshold_peak_area0 Peak area threshold to consider identification transition (set to -1 to consider all)

scoring_modeldefault Scoring model to usedefault, single_transition

im_extra_drift0.0 Extra drift time to extract for IM scoring (as a fraction, e.g. 0.25 means 25% extra on each side)0.0:∞

stricttrue Whether to error (true) or skip (false) if a transition in a transition group does not have a corresponding chromatogram.true, false

use_ms1_ion_mobilitytrue Performs ion mobility extraction in MS1. Set to false if MS1 spectra do not contain ion mobility

++++TransitionGroupPicker

stop_after_feature-1 Stop finding after feature (ordered by intensity; -1 means do not stop).

min_peak_width-1.0 Minimal peak width (s), discard all peaks below this value (-1 means no action).

peak_integrationoriginal Calculate the peak area and height either the smoothed or the raw chromatogram data.original, smoothed

background_subtractionnone Remove background from peak signal using estimated noise levels. The 'original' method is only provided for historical purposes, please use the 'exact' method and set parameters using the PeakIntegrator: settings. The same original or smoothed chromatogram specified by peak_integration will be used for background estimation.none, original, exact

recalculate_peakstrue Tries to get better peak picking by looking at peak consistency of all picked peaks. Tries to use the consensus (median) peak border if the variation within the picked peaks is too large.true, false

use_precursorsfalse Use precursor chromatogram for peak picking (note that this may lead to precursor signal driving the peak picking)true, false

use_consensustrue Use consensus peak boundaries when computing transition group picking (if false, compute independent peak boundaries for each transition)true, false

recalculate_peaks_max_z0.75 Determines the maximal Z-Score (difference measured in standard deviations) that is considered too large for peak boundaries. If the Z-Score is above this value, the median is used for peak boundaries (default value 1.0).

minimal_quality-1.5 Only if compute_peak_quality is set, this parameter will not consider peaks below this quality threshold

resample_boundary15.0 For computing peak quality, how many extra seconds should be sample left and right of the actual peak

compute_peak_qualityfalse Tries to compute a quality value for each peakgroup and detect outlier transitions. The resulting score is centered around zero and values above 0 are generally good and below -1 or -2 are usually bad.true, false

compute_peak_shape_metricsfalse Calculates various peak shape metrics (e.g., tailing) that can be used for downstream QC/QA.true, false

compute_total_mifalse Compute mutual information metrics for individual transitions that can be used for OpenSWATH/IPF scoring.true, false

boundary_selection_methodlargest Method to use when selecting the best boundaries for peaks.largest, widest

+++++PeakPickerChromatogram

sgolay_frame_length11 The number of subsequent data points used for smoothing.
This number has to be uneven. If it is not, 1 will be added.

sgolay_polynomial_order3 Order of the polynomial that is fitted.

gauss_width30.0 Gaussian width in seconds, estimated peak size.

use_gaussfalse Use Gaussian filter for smoothing (alternative is Savitzky-Golay filter)false, true

peak_width-1.0 Force a certain minimal peak_width on the data (e.g. extend the peak at least by this amount on both sides) in seconds. -1 turns this feature off.

signal_to_noise0.1 Signal-to-noise threshold at which a peak will not be extended any more. Note that setting this too high (e.g. 1.0) can lead to peaks whose flanks are not fully captured.0.0:∞

write_sn_log_messagesfalse Write out log messages of the signal-to-noise estimator in case of sparse windows or median in rightmost histogram bintrue, false

remove_overlapping_peakstrue Try to remove overlapping peaks during peak pickingfalse, true

methodcorrected Which method to choose for chromatographic peak-picking (OpenSWATH legacy on raw data, corrected picking on smoothed chromatogram or Crawdad on smoothed chromatogram).legacy, corrected, crawdad

+++++PeakIntegrator

integration_typeintensity_sum The integration technique to use in integratePeak() and estimateBackground() which uses either the summed intensity, integration by Simpson's rule or trapezoidal integration.intensity_sum, simpson, trapezoid

baseline_typebase_to_base The baseline type to use in estimateBackground() based on the peak boundaries. A rectangular baseline shape is computed based either on the minimal intensity of the peak boundaries, the maximum intensity or the average intensity (base_to_base).base_to_base, vertical_division, vertical_division_min, vertical_division_max

fit_EMGfalse Fit the chromatogram/spectrum to the EMG peak model.false, true

++++DIAScoring

dia_extraction_window0.05 DIA extraction window in Th or ppm.0.0:∞

dia_extraction_unitTh DIA extraction window unitTh, ppm

dia_centroidedfalse Use centroided DIA data.true, false

dia_byseries_intensity_min300.0 DIA b/y series minimum intensity to consider.0.0:∞

dia_byseries_ppm_diff10.0 DIA b/y series minimal difference in ppm to consider.0.0:∞

dia_nr_isotopes4 DIA number of isotopes to consider.0:∞

dia_nr_charges4 DIA number of charges to consider.0:∞

peak_before_mono_max_ppm_diff20.0 DIA maximal difference in ppm to count a peak at lower m/z when searching for evidence that a peak might not be monoisotopic.0.0:∞

++++EMGScoring

max_iteration10 Maximum number of iterations using by Levenberg-Marquardt algorithm.

init_momfalse Initialize parameters using method of moments estimators.true, false

++++Scores

use_shape_scoretrue Use the shape score (this score measures the similarity in shape of the transitions using a cross-correlation)true, false

use_coelution_scoretrue Use the coelution score (this score measures the similarity in coelution of the transitions using a cross-correlation)true, false

use_rt_scoretrue Use the retention time score (this score measure the difference in retention time)true, false

use_library_scoretrue Use the library scoretrue, false

use_intensity_scoretrue Use the intensity scoretrue, false

use_nr_peaks_scoretrue Use the number of peaks scoretrue, false

use_total_xic_scoretrue Use the total XIC scoretrue, false

use_total_mi_scorefalse Use the total MI scoretrue, false

use_sn_scoretrue Use the SN (signal to noise) scoretrue, false

use_mi_scoretrue Use the MI (mutual information) scoretrue, false

use_dia_scorestrue Use the DIA (SWATH) scores. If turned off, will not use fragment ion spectra for scoring.true, false

use_ms1_correlationfalse Use the correlation scores with the MS1 elution profilestrue, false

use_ion_mobility_scoresfalse Use the scores for Ion Mobility scanstrue, false

use_ms1_fullscanfalse Use the full MS1 scan at the peak apex for scoring (ppm accuracy of precursor and isotopic pattern)true, false

use_ms1_mitrue Use the MS1 MI scoretrue, false

use_uis_scoresfalse Use UIS scores for peptidoform identificationtrue, false

use_peak_shape_metricsfalse Use peak shape metrics for scoring

use_ionseries_scorestrue Use MS2-level b/y ion-series scores for peptidoform identificationtrue, false

use_ms2_isotope_scorestrue Use MS2-level isotope scores (pearson & manhattan) across product transitions (based on ID if annotated or averagine)true, false