This function detects fragmentation peaks for the Data-Dependent Acquisition (DDA) analysis.
DDA_fragmentationPeakDetection(DDA_hrms_address, DDA_hrms_file, peaklist,
selectedIPApeaks, massErrorPrecursor, DDAprocessingMode = 'MostIntenseDDAspectra',
outputDDAspectra = NULL, number_processing_threads = 1)A dataframe peaklist of co-detected DDA analysis.
path to the HRMS file
DDA HRMS file
IDSL.IPA peaklist
A vector of selected IDSL.IPA peaks only when a number of IDSL.IPA peaks from one peaklist is processed.
Mass accuracy (Da) to find precursor m/z in IDSL.IPA peaklists
c('MostIntenseDDAspectra', c('DDAspectraIntegration', massErrorIntegration), c('IonFiltering', massErrorIonFiltering, minPercentageDetectedScans, rsdCutoff, pearsonRHOthreshold)). Required variables for each DDA processing mode should be provided in this vector.
When `NULL` DDA spectra are not plotted. `outputDDAspectra` represents an address to save DDA spectra figures.
Number of processing threads for multi-threaded processing