public static ProteinProphetResult postProcessing(ExclusionProfile exclusionProfile, String experimentName,
Boolean keepResults)
{
String partialCometFileOutputFolder = Path.Combine(InputFileOrganizer.OutputFolderOfTheRun, "PartialCometFile");
if (!Directory.Exists(partialCometFileOutputFolder))
{
Directory.CreateDirectory(partialCometFileOutputFolder);
}
String outputCometFile = Path.Combine(partialCometFileOutputFolder,
experimentName + "_partial" + InputFileOrganizer.PepXMLSuffix);
PartialPepXMLWriter.writePartialPepXMLFile(InputFileOrganizer.OriginalCometOutput, exclusionProfile.getSpectraUsed(),
outputCometFile, InputFileOrganizer.MS2SimulationTestFile, InputFileOrganizer.FASTA_FILE, outputCometFile); //TODO was using MZML instead of MS2
ProteinProphetResult ppr = RunProteinProphet(outputCometFile, InputFileOrganizer.OutputFolderOfTheRun, keepResults);
//PostProcessingScripts.deleteFile(outputCometFile);
// delete these files if this flag is false
//if (!keepResults)
//{
//}
return(ppr);
}
public static void StartProcessing(ExclusionProfile exclusionProfile)
{
//log.Debug("Loading logistic regression model and creating exclusion profile");
//exclusionProfile = new MachineLearningGuidedExclusion(InputFileOrganizer.logisticRegressionClassifierSaveFile, ExclusionExplorer.database, GlobalVar.ppmTolerance, GlobalVar.retentionTimeWindowSize);
//exclusionProfile = new NoraExclusion(database,GlobalVar.XCorr_Threshold, GlobalVar.ppmTolerance, GlobalVar.NumDBThreshold, GlobalVar.retentionTimeWindowSize);
//exclusionProfile = new RandomExclusion(InputFileOrganizer.logisticRegressionClassifierSaveFile, database, GlobalVar.ppmTolerance, GlobalVar.retentionTimeWindowSize);
log.Debug("Initiating up DataProcessor Variables");
reset();
//Console.ReadKey();
preExperimentSetupFinished = true;
while (running || taskCounter > 0) //!parsedSpectra.IsEmpty
{
//Database searches any scan in processedScans FIFO queue as long as it's not empty
Spectra processedSpectra;
if (parsedSpectra.TryDequeue(out processedSpectra))
{
exclusionProfile.evaluate(processedSpectra);
double[] scanArrivalProcessedTime = { processedSpectra.getScanNum(), processedSpectra.getArrivalTime(), getCurrentMiliTime() };
scanArrivalAndProcessedTimeList.Add(scanArrivalProcessedTime);
Interlocked.Decrement(ref taskCounter);
}
}
log.Info("DataProcessor finished, processed {0} scans", scanIDCounter);
}
internal void DoJob(ExclusionProfile exclusionProfile)
{
using (IExactiveInstrumentAccess instrument = Connection.GetFirstInstrument())
{
if (instrument == null)
{
Console.WriteLine("Failed to create Instrument, program will now exit");
return;
}
IMsScanContainer orbitrap = instrument.GetMsScanContainer(0);
//if (GlobalVar.SeeExclusionFormat)
//{
// m_methods = instrument.Control.Methods;
// m_replacementTable = CreateReplacementTable();
//}
Console.WriteLine("Waiting 60 seconds for scans on detector " + orbitrap.DetectorClass + "...");
DataProcessor.reset();
Thread DataProcessingThread = new Thread(() => DataProcessor.StartProcessing(exclusionProfile));
//Thread InputHandling = new Thread(() => InputHandler.ReadConsoleInput());
DataProcessingThread.Start();
//InputHandling.Start();
while (!DataProcessor.SetupFinished())
{
Thread.Sleep(500);
}
orbitrap.AcquisitionStreamOpening += Orbitrap_AcquisitionStreamOpening;
orbitrap.AcquisitionStreamClosing += Orbitrap_AcquisitionStreamClosing;
Console.WriteLine("Waiting on acquisition stream to open");
while (!acquisitionStreamOpened && !Console.ReadKey().KeyChar.ToString().Equals("y"))
{
Console.WriteLine("Waiting on acquisition stream to open");
Thread.CurrentThread.Join(1000);
}
Console.WriteLine("MSScan Arrive event listener added");
orbitrap.MsScanArrived += Orbitrap_MsScanArrived;
int durationCounter = 0;
while (durationCounter < GlobalVar.listeningDuration && (ExclusionExplorer.IsListening()))
{
Thread.CurrentThread.Join(1000); //does the same thing as Thread.Sleep() but Join
//allows standard sendmessage pumping and COM to continue
durationCounter++;
}
orbitrap.MsScanArrived -= Orbitrap_MsScanArrived;
orbitrap.AcquisitionStreamClosing -= Orbitrap_AcquisitionStreamClosing;
orbitrap.AcquisitionStreamOpening -= Orbitrap_AcquisitionStreamOpening;
DataProcessor.EndProcessing();
DataProcessingThread.Join(); //wait until dataProcessor finishes processing/outputing the scan
//queue then returns to Main thread;
}
}
//writes a list of proteins added to the exclusion list
private static void WriteExcludedProteinList(ExclusionProfile exclusionProfile)
{
List <string> excludedProteins = exclusionProfile.getDatabase().getExcludedProteins();
String outputFile = Path.Combine(InputFileOrganizer.OutputFolderOfTheRun, "ExcludedProteinList.txt");
StreamWriter sw = new StreamWriter(outputFile);
foreach (String prot in excludedProteins)
{
sw.WriteLine(prot);
}
sw.Close();
}
public static String DoJob(ProteinProphetResult ppr, ExclusionProfile exclusionProfile, int experimentNum)
{
String outputFile = Path.Combine(InputFileOrganizer.OutputFolderOfTheRun, "NumberOfPeptidesPerIdentifiedProtein_" + experimentNum + ".txt");
StreamWriter sw = new StreamWriter(outputFile);
sw.WriteLine("Accession\tNumberOfPeptides\tSpectralCount");
List <String> confidentlyIdentifiedProts = ppr.getProteinsIdentified();
foreach (String accession in confidentlyIdentifiedProts)
{
Protein prot = exclusionProfile.getDatabase().getProtein(accession);
HashSet <String> peptidesObserved = new HashSet <String>();
foreach (PeptideScore pepEvidence in prot.getPeptideScore())
{
peptidesObserved.Add(pepEvidence.getPeptideSequence());
}
sw.WriteLine("{0}\t{1}\t{2}", accession, peptidesObserved.Count, prot.getPeptideScore().Count);
}
sw.Close();
return(outputFile);
}
//static string mzmlFileBaseName="MS_QC_240min";
public static void ExtractFeatures(String ms2File, out String extractedFeatureSavedFile_posAndNeg, out String extractedFeatureSavedFile_posAndNonPos)
{
Console.WriteLine("Extracting features from {0}", ms2File);
InputFileOrganizer.MS2SimulationTestFile = ms2File;
//InputFileOrganizer.MZMLSimulationTestFile = mzmlFile;
String ms2FileBaseName = Path.GetFileNameWithoutExtension(ms2File);
OutputFile_PositiveAndNegative = Path.Combine(InputFileOrganizer.OutputFolderOfTheRun, ms2FileBaseName + "_extractedFeatures_PositiveAndNegative.tsv");
OutputFile_PositiveAndNonPositive = Path.Combine(InputFileOrganizer.OutputFolderOfTheRun, ms2FileBaseName + "_extractedFeatures_positiveAndNonPositive.tsv");
OutputFile_PositiveAndNonPositive_NoDecoy = Path.Combine(InputFileOrganizer.OutputFolderOfTheRun, ms2FileBaseName + "_extractedFeatures_positiveAndNonPositive_NoDecoy.tsv");
//the current feature extraction will include decoy proteins in the database and testing set
SimulationWithDecoyParamsSetUp();
//placeholder values, dont matter
GlobalVar.ppmTolerance = 1;
GlobalVar.retentionTimeWindowSize = 1;
GlobalVar.AccordThreshold = 1;
GlobalVar.XCorr_Threshold = 1;
GlobalVar.NumDBThreshold = 1;
//
log.Info("Running No Exclusion Simulation");
ExclusionProfile exclusionProfile = ExclusionExplorer.SingleSimulationRun(ExclusionProfileEnum.NO_EXCLUSION_PROFILE);
log.Info("Extracting identification feature from exclusion profile");
List <IdentificationFeatures> idf = exclusionProfile.getFeatures();
log.Info("Recalibrating stDev");
idf = IdentificationFeatureExtractionUtil.recalibrateStDev(idf);
writeFeatures(idf);
extractedFeatureSavedFile_posAndNeg = OutputFile_PositiveAndNegative;
extractedFeatureSavedFile_posAndNonPos = OutputFile_PositiveAndNonPositive;
Console.WriteLine("Extracted Feature written to {0} and {1}", OutputFile_PositiveAndNegative, OutputFile_PositiveAndNonPositive);
}
public static ExclusionProfile SingleSimulationRun(ExclusionProfileEnum expType)
{
PreExperimentSetUp();
int experimentNumber = 1;
double startTime = getCurrentTime();
//parameters:
//GlobalVar.ppmTolerance = 5.0 / 1000000.0;
//GlobalVar.retentionTimeWindowSize = 1.0;
//GlobalVar.AccordThreshold = 0.5;
//GlobalVar.XCorr_Threshold = 1.5;
//GlobalVar.NumDBThreshold = 2;
if (GlobalVar.isSimulationForFeatureExtraction == false)
{
GlobalVar.ppmTolerance = GlobalVar.PPM_TOLERANCE_LIST[0];
GlobalVar.retentionTimeWindowSize = GlobalVar.RETENTION_TIME_WINDOW_LIST[0];
GlobalVar.AccordThreshold = GlobalVar.LR_PROBABILITY_THRESHOLD_LIST[0];
GlobalVar.XCorr_Threshold = GlobalVar.XCORR_THRESHOLD_LIST[0];
GlobalVar.NumDBThreshold = GlobalVar.NUM_DB_THRESHOLD_LIST[0];
}
//random
int numExcluded = 14826;
int numAnalyzed = 22681;
//end parameters
ExclusionProfile exclusionProfile = null;
switch (expType)
{
case ExclusionProfileEnum.NORA_EXCLUSION_PROFILE:
exclusionProfile = new NoraExclusion(database, GlobalVar.XCorr_Threshold, GlobalVar.ppmTolerance, GlobalVar.NumDBThreshold, GlobalVar.retentionTimeWindowSize);
break;
case ExclusionProfileEnum.MACHINE_LEARNING_GUIDED_EXCLUSION_PROFILE:
exclusionProfile = new MachineLearningGuidedExclusion(InputFileOrganizer.AccordNet_LogisticRegressionClassifier_WeightAndInterceptSavedFile, database, GlobalVar.ppmTolerance, GlobalVar.retentionTimeWindowSize);
break;
case ExclusionProfileEnum.RANDOM_EXCLUSION_PROFILE:
exclusionProfile = new RandomExclusion_Fast(database, ms2SpectraList, numExcluded, numAnalyzed, 12);
break;
case ExclusionProfileEnum.NO_EXCLUSION_PROFILE:
exclusionProfile = new NoExclusion(database, GlobalVar.retentionTimeWindowSize);
break;
case ExclusionProfileEnum.MLGE_SEQUENCE_EXCLUSION_PROFILE:
exclusionProfile = new MLGESequenceExclusion(InputFileOrganizer.AccordNet_LogisticRegressionClassifier_WeightAndInterceptSavedFile, database, GlobalVar.ppmTolerance, GlobalVar.retentionTimeWindowSize);
break;
case ExclusionProfileEnum.NORA_SEQUENCE_EXCLUSION_PROFILE:
exclusionProfile = new NoraSequenceExclusion(database, GlobalVar.XCorr_Threshold, GlobalVar.ppmTolerance, GlobalVar.NumDBThreshold, GlobalVar.retentionTimeWindowSize);
break;
case ExclusionProfileEnum.SVMEXCLUSION:
exclusionProfile = new SVMExclusion(InputFileOrganizer.SVMSavedFile, database, GlobalVar.ppmTolerance, GlobalVar.retentionTimeWindowSize);
break;
}
WriterClass.writeln(exclusionProfile.GetPerformanceEvaluator().getHeader());
String experimentName = "EXP_" + experimentNumber + GlobalVar.experimentName;
Experiment experiment = new Experiment(exclusionProfile, experimentName, 1, expType, startTime);
new DataReceiverSimulation().DoJob(exclusionProfile, ms2SpectraList);
double analysisTime = getCurrentTime() - startTime;
//WriteScanArrivalProcessedTime(DataProcessor.scanArrivalAndProcessedTimeList);
//WriteExcludedProteinList(exclusionProfile.getDatabase().getExcludedProteins());
#if IGNORE
WriteScanArrivalProcessedTime(DataProcessor.spectraNotAdded);
foreach (double[] ignoredSpectra in DataProcessor.spectraNotAdded)
{
int scanNum = ms2SpectraList[(int)ignoredSpectra[0] - 1].getScanNum();
exclusionProfile.getSpectraUsed().Add(scanNum);
}
#endif
//if (expType == ExclusionProfileEnum.NO_EXCLUSION_PROFILE)
//{
// List<ObservedPeptideRtTrackerObject> peptideIDRT = ((NoExclusion)exclusionProfile).peptideIDRT;
// //actual arrival time, xcorr, rtCalc predicted RT, corrected RT, offset
// WriterClass.writeln("pepSeq\tarrivalTime\txcorr\trtPeak\tcorrectedRT\toffset\trtCalcPredicted\tisPredicted1", writerClassOutputFile.peptideRTTime);
// foreach (ObservedPeptideRtTrackerObject observedPeptracker in peptideIDRT)
// {
// WriterClass.writeln(observedPeptracker.ToString(), writerClassOutputFile.peptideRTTime);
// }
//}
//if (expType == ExclusionProfileEnum.MACHINE_LEARNING_GUIDED_EXCLUSION_PROFILE)
//{
// List<double[]> peptideIDRT = ((MachineLearningGuidedExclusion)exclusionProfile).peptideIDRT;
// //actual arrival time, xcorr, rtCalc predicted RT, corrected RT, offset
// WriterClass.writeln("arrivalTime\txcorr\trtPeak\tcorrectedRT\toffset\trtCalcPredicted\tisPredicted1", writerClassOutputFile.peptideRTTime);
// foreach(double[] id in peptideIDRT)
// {
// String str = "";
// foreach(double d in id)
// {
// str = str + "\t" + d;
// }
// str= str.Trim();
// WriterClass.writeln(str, writerClassOutputFile.peptideRTTime);
// }
//}
#if TRACKEXCLUDEDPROTEINFEATURE
if (expType == ExclusionProfileEnum.MACHINE_LEARNING_GUIDED_EXCLUSION_PROFILE)
{
List <object[]> excludedProteinFeatures = ((MachineLearningGuidedExclusion)exclusionProfile).excludedProteinFeatureList;
WriterClass.writeln("Accession\tCardinality\tHighestXCorr\tMeanXCorr\tMedianXCorr\tStDev", writerClassOutputFile.ExcludedSpectraScanNum);
foreach (object[] feature in excludedProteinFeatures)
{
String featureStr = "";
foreach (object o in feature)
{
featureStr = featureStr + o.ToString() + "\t";
}
featureStr = featureStr.Trim();
WriterClass.writeln(featureStr, writerClassOutputFile.ExcludedSpectraScanNum);
}
}
#endif
//WriteUnusedSpectra(exclusionProfile);
//WriteUsedSpectra(exclusionProfile);
PostExperimentProcessing(experiment);
//WriteUnusedSpectra(exclusionProfile);
return(exclusionProfile);
}
private void postProcessingCalculations(int ddaNum, ProteinProphetResult ppr, ExclusionProfile exclusionProfile)
{
BaselineComparison bc = baselineComparisonSet[ddaNum];
List <String> proteinsIdentifiedByNoExclusion = bc.getProteinsIdentifiedByNoExclusion();
int totalResourcesNaiveExperiment = bc.getTotalResourcesNaiveExperiment();
int numProteinsIdentifiedNaiveExperiment = bc.getNumProteinsIdentifiedNaiveExperiment();
// set proteins identified first
setProteinsIdentified(ppr, proteinsIdentifiedByNoExclusion);
int correctlyExcluded = (int)data[Header.EvaluateExclusion_FoundOnCurrentExclusionList]
+ (int)data[Header.EvaluateExclusion_FoundOnCurrentObservedExclusionList];
int incorrectlyExcluded = (int)data[Header.EvaluateExclusion_NotFoundOnExclusionList];
/*
* found on past observed, found on past exclusion list, and found on future
* exclusion list are not incorrect exclusions, they are retention time being
* predicted incorrectly...
*/
double ratioIncorrectlyExcludedOverCorrectlyExcluded = takeRatio(incorrectlyExcluded, correctlyExcluded);
ChangeValue(Header.CorrectlyExcluded, correctlyExcluded);
ChangeValue(Header.IncorrectlyExcluded, incorrectlyExcluded);
ChangeValue(Header.RatioIncorrectlyExcludedOverCorrectlyExcluded, ratioIncorrectlyExcludedOverCorrectlyExcluded);
// Resources saved in total # available MS2 - # ms2 used foreach analysis
int resourcesSaved = totalResourcesNaiveExperiment - (int)data[Header.NumMS2Analyzed];
double percentResourcesSaved = takeRatio(resourcesSaved, totalResourcesNaiveExperiment);
double percentResourcesUsed = 1 - percentResourcesSaved;
ChangeValue(Header.PercentResourcesSaved, percentResourcesSaved);
ChangeValue(Header.PercentResourcesUsed, percentResourcesUsed);
/*-
* Protein Identification Sensitivity = # proteins identified / # proteins identified in whole experiment
* Protein Identification Fold Change = # proteins identified / # proteins identified by naive approach
* Protein Identification Sensitivity Limited DDA = # proteins identified also identified in naive approach / proteins identified by naive approach
*/
ChangeValue(Header.ProteinIdentificationSensitivity,
takeRatio((int)data[Header.NumProteinsIdentified], numProteinsIdentifiedOriginalExperiment));
ChangeValue(Header.ProteinIdentificationFoldChange,
takeRatio((int)data[Header.NumProteinsIdentified], numProteinsIdentifiedNaiveExperiment));
ChangeValue(Header.ProteinIdentificationSensitivityLimitedDDA,
takeRatio((int)data[Header.ProteinsIdentifiedInLimitedDDA], numProteinsIdentifiedNaiveExperiment));
List <String> inProgramExcludedProteins = exclusionProfile.getDatabase().getExcludedProteins();
int proteinOverlap_inProgramExcluded_vs_NoExclusion = compareProteins(inProgramExcludedProteins, proteinsIdentifiedByNoExclusion);
ChangeValue(Header.NumProteinOverlap_ExcludedProteinsAgainstNoExclusionProteins, proteinOverlap_inProgramExcluded_vs_NoExclusion);
ChangeValue(Header.ProteinGroupsIdentified, ppr.getFilteredProteinGroups().Count);
}
public void finalizePerformanceEvaluator(String experimentName, String experimentType, double analysisTime,
double totalRunTime, ExclusionList exclusionList, ProteinProphetResult ppr, int ddaNum, ExclusionProfile exclusionProfile)
{
setExperimentName(experimentName, experimentType);
setExperimentDuration(analysisTime, totalRunTime);
setExperimentParams();
setExclusionList(exclusionList);
postProcessingCalculations(ddaNum, ppr, exclusionProfile);
}
public Experiment(ExclusionProfile _exclusionProfile, String _experimentName, int _experimentNum, ExclusionProfileEnum _exType, double startTime) : this(_exclusionProfile, _experimentName, _experimentNum, _exType)
{
experimentStartTime = startTime;
}
public Experiment(ExclusionProfile _exclusionProfile, String _experimentName, int _experimentNum, ExclusionProfileEnum _exType) : this(_experimentName, _experimentNum, _exType)
{
exclusionProfile = _exclusionProfile;
}
