public static void WritePepXml()
{
string filePath = Path.Combine(Examples.BASE_DIRECTORY, "example.pepXML");
Console.WriteLine("Writting to " + filePath);
using (PepXmlWriter writer = new PepXmlWriter(filePath))
{
writer.WriteSampleProtease(Protease.Trypsin);
writer.StartSearchSummary("OMSSA", true, true);
writer.WriteProteinDatabase("Resources/yeast_uniprot_120226.fasta");
writer.WriteSearchProtease(Protease.Trypsin, 3);
writer.WriteModification(ModificationDictionary.GetModification("Acetyl"), ModificationSites.K | ModificationSites.NPep);
writer.WriteModification(ModificationDictionary.GetModification("CAM"), ModificationSites.C);
writer.WriteModification(ModificationDictionary.GetModification("Phospho"), ModificationSites.S | ModificationSites.T | ModificationSites.Y, false);
writer.SetCurrentStage(PepXmlWriter.Stage.Spectra, true);
writer.StartSpectrum(15, 1.234, 523.4324, 3);
PeptideSpectralMatch psm = new PeptideSpectralMatch(PeptideSpectralMatchScoreType.OmssaEvalue);
psm.Score = 1.5e-5;
Protein protein = new Protein("", "Test Protein");
psm.Peptide = new Peptide("DEREK",protein);
psm.Charge = 3;
writer.WritePSM(psm);
writer.EndSpectrum();
}
}
public override PeptideSpectralMatch Search(IMassSpectrum massSpectrum, Peptide peptide, FragmentTypes fragmentTypes, Tolerance productMassTolerance)
{
double[] eMasses = massSpectrum.MassSpectrum.GetMasses();
double[] eIntenisties = massSpectrum.MassSpectrum.GetIntensities();
double tic = massSpectrum.MassSpectrum.GetTotalIonCurrent();
PeptideSpectralMatch psm = new PeptideSpectralMatch(DefaultPsmScoreType) {Peptide = peptide};
double[] tMasses = peptide.Fragment(fragmentTypes).Select(frag => Mass.MzFromMass(frag.MonoisotopicMass, 1)).OrderBy(val => val).ToArray();
double score = Search(eMasses, eIntenisties, tMasses, productMassTolerance, tic);
psm.Score = score;
return psm;
}
public override IEnumerable<PeptideSpectralMatch> ReadNextPsm()
{
Protein prot;
MSDataFile dataFile;
foreach (OmssaPeptideSpectralMatch omssaPSM in _reader.GetRecords<OmssaPeptideSpectralMatch>())
{
Peptide peptide = new Peptide(omssaPSM.Sequence.ToUpper());
SetFixedMods(peptide);
SetDynamicMods(peptide, omssaPSM.Modifications);
peptide.StartResidue = omssaPSM.StartResidue;
peptide.EndResidue = omssaPSM.StopResidue;
if (_proteins.TryGetValue(omssaPSM.Defline, out prot))
{
peptide.Parent = prot;
}
PeptideSpectralMatch psm = new PeptideSpectralMatch();
if (_extraColumns.Count > 0)
{
foreach(string name in _extraColumns) {
psm.AddExtraData(name, _reader.GetField<string>(name));
}
}
psm.Peptide = peptide;
psm.Score = omssaPSM.EValue;
psm.Charge = omssaPSM.Charge;
psm.ScoreType = PeptideSpectralMatchScoreType.EValue;
psm.IsDecoy = omssaPSM.Defline.StartsWith("DECOY");
psm.SpectrumNumber = omssaPSM.SpectrumNumber;
psm.FileName = omssaPSM.FileName;
string[] filenameparts = psm.FileName.Split('.');
if (_dataFiles.TryGetValue(filenameparts[0], out dataFile))
{
if (!dataFile.IsOpen)
dataFile.Open();
psm.Spectrum = dataFile[psm.SpectrumNumber] as MsnDataScan;
}
yield return psm;
}
}
public static void TestLastPeaks()
{
IDictionary <int, List <Modification> > mods = new Dictionary <int, List <Modification> >();
ModificationMotif.TryGetMotif("M", out ModificationMotif motif);
var prot = new Protein("MMMM", null, null, null, mods);
DigestionParams digestionParams = new DigestionParams(minPeptideLength: 1);
PeptideWithSetModifications thePep = prot.Digest(digestionParams, new List <Modification>(), new List <Modification>()).First();
var frags = new List <Product>();
thePep.Fragment(DissociationType.HCD, FragmentationTerminus.Both, frags);
var massArray = frags.Select(p => p.NeutralMass).ToArray();
Array.Sort(massArray);
double[] intensities = new double[] { 1, 1, 1 };
double[] mz = new double[] { 1, 2, massArray[4].ToMz(1) };
MzSpectrum massSpectrum = new MzSpectrum(mz, intensities, false);
MsDataScan scan = new MsDataScan(massSpectrum, 1, 1, true, Polarity.Positive, 1, new MzRange(300, 2000), "", MZAnalyzerType.Unknown, massSpectrum.SumOfAllY, null, null, "scan=1", 0, null, null, 0, null, DissociationType.Unknown, 1, null);
PeptideSpectralMatch[] globalPsms = new PeptideSpectralMatch[1];
Ms2ScanWithSpecificMass[] arrayOfSortedMS2Scans = { new Ms2ScanWithSpecificMass(scan, 0, 1, null, new CommonParameters()) };
CommonParameters CommonParameters = new CommonParameters(
scoreCutoff: 1,
productMassTolerance: new PpmTolerance(5),
digestionParams: new DigestionParams(
maxMissedCleavages: 0,
minPeptideLength: 1,
maxModificationIsoforms: int.MaxValue,
initiatorMethionineBehavior: InitiatorMethionineBehavior.Retain));
bool writeSpectralLibrary = false;
ClassicSearchEngine cse = new ClassicSearchEngine(globalPsms, arrayOfSortedMS2Scans, new List <Modification>(), new List <Modification>(), null, null, null,
new List <Protein> {
prot
}, new OpenSearchMode(), CommonParameters, null, null, new List <string>(), writeSpectralLibrary);
cse.Run();
Assert.Less(globalPsms[0].Score, 2);
Assert.Greater(globalPsms[0].Score, 1);
}
public static void TestPsmHeader()
{
DigestionParams digestionParams = new DigestionParams();
PeptideWithSetModifications pepWithSetMods = new Protein("MQQQQQQQ", "accession1").Digest(digestionParams, new List <ModificationWithMass>(), new List <ModificationWithMass>()).First();
IMsDataFile <IMsDataScan <IMzSpectrum <IMzPeak> > > myMsDataFile = new TestDataFile(pepWithSetMods, "quadratic");
IMsDataScanWithPrecursor <IMzSpectrum <IMzPeak> > scann = myMsDataFile.GetOneBasedScan(2) as IMsDataScanWithPrecursor <IMzSpectrum <IMzPeak> >;
Ms2ScanWithSpecificMass scan = new Ms2ScanWithSpecificMass(scann, 4, 1, null);
PeptideSpectralMatch psm = new PeptideSpectralMatch(pepWithSetMods.CompactPeptide(TerminusType.None), 1, 2, 3, scan);
var t = psm.ToString();
var tabsepheader = PeptideSpectralMatch.GetTabSeparatedHeader();
Assert.AreEqual(psm.ToString().Count(f => f == '\t'), PeptideSpectralMatch.GetTabSeparatedHeader().Count(f => f == '\t'));
Dictionary <CompactPeptideBase, HashSet <PeptideWithSetModifications> > matching = new Dictionary <CompactPeptideBase, HashSet <PeptideWithSetModifications> >
{
{ pepWithSetMods.CompactPeptide(TerminusType.None), new HashSet <PeptideWithSetModifications> {
pepWithSetMods
} }
};
psm.MatchToProteinLinkedPeptides(matching);
Assert.AreEqual(psm.ToString().Count(f => f == '\t'), PeptideSpectralMatch.GetTabSeparatedHeader().Count(f => f == '\t'));
Tolerance fragmentTolerance = new PpmTolerance(10);
List <ProductType> lp = new List <ProductType> {
ProductType.B
};
new LocalizationEngine(new List <PeptideSpectralMatch> {
psm
}, lp, myMsDataFile, fragmentTolerance, new List <string>(), false).Run();
Assert.AreEqual(psm.ToString().Count(f => f == '\t'), PeptideSpectralMatch.GetTabSeparatedHeader().Count(f => f == '\t'));
psm.SetFdrValues(6, 6, 6, 6, 6, 6, 0, 0, 0, false);
Assert.AreEqual(psm.ToString().Count(f => f == '\t'), PeptideSpectralMatch.GetTabSeparatedHeader().Count(f => f == '\t'));
}
public static void TestVeryCloseExperimentalsModern()
{
IDictionary <int, List <Modification> > mods = new Dictionary <int, List <Modification> >();
ModificationMotif.TryGetMotif("M", out ModificationMotif motif);
var prot = new Protein("MMMM", null, null, null, mods);
DigestionParams digestionParams = new DigestionParams(minPeptideLength: 1);
var thePep = prot.Digest(digestionParams, new List <ModificationWithMass>(), new List <ModificationWithMass>()).First();
var massArray = thePep.CompactPeptide(TerminusType.None).ProductMassesMightHaveDuplicatesAndNaNs(new List <ProductType> {
ProductType.B, ProductType.Y
});
Array.Sort(massArray);
double[] intensities = new double[] { 1, 1, 1, 1 };
double[] mz = new double[] { 1, 2, massArray[4].ToMz(1), massArray[4].ToMz(1) + 1e-9 };
MzSpectrum massSpectrum = new MzSpectrum(mz, intensities, false);
MsDataScan scan = new MsDataScan(massSpectrum, 1, 1, true, Polarity.Positive, 1, new MzRange(300, 2000), "", MZAnalyzerType.Unknown, massSpectrum.SumOfAllY, null, null, "scan=1", 0, null, null, 0, null, DissociationType.Unknown, 1, null);
PeptideSpectralMatch[] globalPsms = new PeptideSpectralMatch[1];
Ms2ScanWithSpecificMass[] arrayOfSortedMS2Scans = { new Ms2ScanWithSpecificMass(scan, 600, 1, null) };
CommonParameters CommonParameters = new CommonParameters(productMassTolerance: new PpmTolerance(5), scoreCutoff: 1, digestionParams: new DigestionParams(maxMissedCleavages: 0, minPeptideLength: 1, maxModificationIsoforms: int.MaxValue, initiatorMethionineBehavior: InitiatorMethionineBehavior.Retain));
var indexEngine = new IndexingEngine(new List <Protein> {
prot
}, new List <ModificationWithMass>(), new List <ModificationWithMass>(), new List <ProductType>
{
ProductType.B, ProductType.Y
}, 1, DecoyType.Reverse, new List <DigestionParams> {
CommonParameters.DigestionParams
}, CommonParameters, 30000, new List <string>());
var indexResults = (IndexingResults)indexEngine.Run();
var cse = new ModernSearchEngine(globalPsms, arrayOfSortedMS2Scans, indexResults.PeptideIndex, indexResults.FragmentIndex, new List <ProductType> {
ProductType.B, ProductType.Y
}, 0, CommonParameters, new OpenSearchMode(), 0, new List <string>());
cse.Run();
Assert.Less(globalPsms[0].Score, 2);
Assert.Greater(globalPsms[0].Score, 1);
}
public static void TestIdenticalPeaks()
{
IDictionary <int, List <Modification> > mods = new Dictionary <int, List <Modification> >();
ModificationMotif.TryGetMotif("M", out ModificationMotif motif);
mods.Add(1, new List <Modification> {
new ModificationWithMass("Hehe", null, motif, TerminusLocalization.NProt, 18.010565, null, null, null, null)
});
var prot = new Protein("MMMM", null, null, null, mods);
DigestionParams digestionParams = new DigestionParams(minPeptideLength: 1);
var ye = prot.Digest(digestionParams, new List <ModificationWithMass>(), new List <ModificationWithMass>()).First();
var massArray = ye.CompactPeptide(TerminusType.None).ProductMassesMightHaveDuplicatesAndNaNs(new List <ProductType> {
ProductType.B, ProductType.Y
});
Array.Sort(massArray);
double[] intensities = new double[] { 1, 1, 1, 1 };
double[] mz = new double[] { massArray[0].ToMz(1), massArray[2].ToMz(1), massArray[4].ToMz(1), 10000 };
MzSpectrum massSpectrum = new MzSpectrum(mz, intensities, false);
MsDataScan scan = new MsDataScan(massSpectrum, 1, 1, true, Polarity.Positive, 1, new MzRange(300, 2000), "", MZAnalyzerType.Unknown, massSpectrum.SumOfAllY, null, null, "scan=1", 0, null, null, 0, null, DissociationType.Unknown, 1, null);
PeptideSpectralMatch[] globalPsms = new PeptideSpectralMatch[1];
Ms2ScanWithSpecificMass[] arrayOfSortedMS2Scans = { new Ms2ScanWithSpecificMass(scan, 0, 0, null) };
CommonParameters CommonParameters = new CommonParameters(
productMassTolerance: new PpmTolerance(5),
scoreCutoff: 1,
digestionParams: new DigestionParams(
maxMissedCleavages: 0,
minPeptideLength: 1,
initiatorMethionineBehavior: InitiatorMethionineBehavior.Retain));
ClassicSearchEngine cse = new ClassicSearchEngine(globalPsms, arrayOfSortedMS2Scans, new List <ModificationWithMass>(), new List <ModificationWithMass>(), new List <Protein> {
prot
}, new List <ProductType> {
ProductType.B, ProductType.Y
}, new OpenSearchMode(), CommonParameters, new List <string>());
cse.Run();
Assert.AreEqual(globalPsms[0].MatchedFragmentIons.Count, 3);
}
public static void TestIdenticalPeaks()
{
IDictionary <int, List <Modification> > mods = new Dictionary <int, List <Modification> >();
ModificationMotif.TryGetMotif("M", out ModificationMotif motif);
mods.Add(1, new List <Modification> {
new Modification(_originalId: "Hehe", _target: motif, _locationRestriction: "Anywhere.", _monoisotopicMass: 18.010565)
});
var prot = new Protein("MMMM", null, null, null, mods);
DigestionParams digestionParams = new DigestionParams(minPeptideLength: 1);
var ye = prot.Digest(digestionParams, new List <Modification>(), new List <Modification>()).First();
var frags = new List <Product>();
ye.Fragment(DissociationType.HCD, FragmentationTerminus.Both, frags);
var massArray = frags.Select(p => p.NeutralMass).ToArray();
Array.Sort(massArray);
double[] intensities = new double[] { 1, 1, 1, 1 };
double[] mz = new double[] { massArray[0].ToMz(1), massArray[2].ToMz(1), massArray[4].ToMz(1), 10000 };
MzSpectrum massSpectrum = new MzSpectrum(mz, intensities, false);
MsDataScan scan = new MsDataScan(massSpectrum, 1, 1, true, Polarity.Positive, 1, new MzRange(300, 2000), "", MZAnalyzerType.Unknown, massSpectrum.SumOfAllY, null, null, "scan=1", 0, null, null, 0, null, DissociationType.Unknown, 1, null);
PeptideSpectralMatch[] globalPsms = new PeptideSpectralMatch[1];
Ms2ScanWithSpecificMass[] arrayOfSortedMS2Scans = { new Ms2ScanWithSpecificMass(scan, 0, 1, null, new CommonParameters()) };
CommonParameters CommonParameters = new CommonParameters(
productMassTolerance: new PpmTolerance(5),
scoreCutoff: 1,
digestionParams: new DigestionParams(
maxMissedCleavages: 0,
minPeptideLength: 1,
initiatorMethionineBehavior: InitiatorMethionineBehavior.Retain));
ClassicSearchEngine cse = new ClassicSearchEngine(globalPsms, arrayOfSortedMS2Scans, new List <Modification>(), new List <Modification>(), null, null, null, new List <Protein> {
prot
}, new OpenSearchMode(), CommonParameters, null, new List <string>());
cse.Run();
Assert.AreEqual(3, globalPsms[0].MatchedFragmentIons.Count);
}
public static void TestClassicSearchEngineTopDown()
{
CommonParameters CommonParameters = new CommonParameters(
digestionParams: new DigestionParams(protease: "top-down"),
scoreCutoff: 1,
assumeOrphanPeaksAreZ1Fragments: false);
MetaMorpheusTask.DetermineAnalyteType(CommonParameters);
// test output file name (should be proteoform and not peptide)
Assert.That(GlobalVariables.AnalyteType == "Proteoform");
var variableModifications = new List <Modification>();
var fixedModifications = new List <Modification>();
var proteinList = new List <Protein>
{
new Protein("MPKVYSYQEVAEHNGPENFWIIIDDKVYDVSQFKDEHPGGDEIIMDLGGQDATESFVDIGHSDEALRLLKGLYIGDVDKTSERVSVEKVSTSENQSKGSGTLVVILAILMLGVAYYLLNE", "P40312")
};
var myMsDataFile = Mzml.LoadAllStaticData(Path.Combine(TestContext.CurrentContext.TestDirectory, @"TopDownTestData\slicedTDYeast.mzML"));
var searchMode = new SinglePpmAroundZeroSearchMode(5);
Tolerance DeconvolutionMassTolerance = new PpmTolerance(5);
var listOfSortedms2Scans = MetaMorpheusTask.GetMs2Scans(myMsDataFile, null, new CommonParameters()).OrderBy(b => b.PrecursorMass).ToArray();
PeptideSpectralMatch[] allPsmsArray = new PeptideSpectralMatch[listOfSortedms2Scans.Length];
bool writeSpetralLibrary = false;
new ClassicSearchEngine(allPsmsArray, listOfSortedms2Scans, variableModifications, fixedModifications, null, null, null,
proteinList, searchMode, CommonParameters, null, null, new List <string>(), writeSpetralLibrary).Run();
var psm = allPsmsArray.Where(p => p != null).FirstOrDefault();
Assert.That(psm.MatchedFragmentIons.Count == 47);
}
public override SortedMaxSizedContainer<PeptideSpectralMatch> Search(IMassSpectrum spectrum, IEnumerable<Peptide> peptides, FragmentTypes fragmentTypes, Tolerance productMassTolerance)
{
SortedMaxSizedContainer<PeptideSpectralMatch> results = new SortedMaxSizedContainer<PeptideSpectralMatch>(MaxMatchesPerSpectrum);
double[] eMasses = spectrum.MassSpectrum.GetMasses();
double[] eIntenisties = spectrum.MassSpectrum.GetIntensities();
double tic = spectrum.MassSpectrum.GetTotalIonCurrent();
;
foreach (var peptide in peptides)
{
PeptideSpectralMatch psm = new PeptideSpectralMatch(DefaultPsmScoreType) {Peptide = peptide};
double[] tMasses =
peptide.Fragment(fragmentTypes)
.Select(frag => Mass.MzFromMass(frag.MonoisotopicMass, 1))
.OrderBy(val => val)
.ToArray();
double score = Search(eMasses, eIntenisties, tMasses, productMassTolerance, tic);
psm.Score = score;
results.Add(psm);
}
return results;
}
protected override MetaMorpheusEngineResults RunSpecific()
{
Status("Extracting data points:");
// The final training point list
int numMs1MassChargeCombinationsConsidered = 0;
int numMs1MassChargeCombinationsThatAreIgnoredBecauseOfTooManyPeaks = 0;
int numMs2MassChargeCombinationsConsidered = 0;
int numMs2MassChargeCombinationsThatAreIgnoredBecauseOfTooManyPeaks = 0;
List <LabeledMs1DataPoint> Ms1List = new List <LabeledMs1DataPoint>();
List <LabeledMs2DataPoint> Ms2List = new List <LabeledMs2DataPoint>();
int numIdentifications = goodIdentifications.Count;
// Loop over identifications
HashSet <string> sequences = new HashSet <string>();
object lockObj = new object();
object lockObj2 = new object();
Parallel.ForEach(Partitioner.Create(0, numIdentifications), fff =>
{
for (int matchIndex = fff.Item1; matchIndex < fff.Item2; matchIndex++)
{
PeptideSpectralMatch identification = goodIdentifications[matchIndex];
// Each identification has an MS2 spectrum attached to it.
int ms2scanNumber = identification.ScanNumber;
int peptideCharge = identification.ScanPrecursorCharge;
if (identification.FullSequence == null)
{
continue;
}
var representativeSinglePeptide = identification.CompactPeptides.First().Value.Item2.First();
// Get the peptide, don't forget to add the modifications!!!!
var SequenceWithChemicalFormulas = representativeSinglePeptide.SequenceWithChemicalFormulas;
if (SequenceWithChemicalFormulas == null || representativeSinglePeptide.allModsOneIsNterminus.Any(b => b.Value.neutralLosses.Count != 1 || b.Value.neutralLosses.First() != 0))
{
continue;
}
Proteomics.Peptide coolPeptide = new Proteomics.Peptide(SequenceWithChemicalFormulas);
var ms2tuple = SearchMS2Spectrum(myMsDataFile.GetOneBasedScan(ms2scanNumber) as IMsDataScanWithPrecursor <IMzSpectrum <IMzPeak> >, coolPeptide, peptideCharge, identification);
// If MS2 has low evidence for peptide, skip and go to next one
if (ms2tuple.Item4 < numFragmentsNeededForEveryIdentification)
{
continue;
}
lock (lockObj2)
{
Ms2List.AddRange(ms2tuple.Item1);
numMs2MassChargeCombinationsConsidered += ms2tuple.Item2;
numMs2MassChargeCombinationsThatAreIgnoredBecauseOfTooManyPeaks += ms2tuple.Item3;
if (sequences.Contains(identification.FullSequence))
{
continue; // Do not search same sequence multiple times in MS1 scans
}
sequences.Add(identification.FullSequence);
}
// Calculate isotopic distribution of the full peptide
var dist = IsotopicDistribution.GetDistribution(coolPeptide.GetChemicalFormula(), fineResolutionForIsotopeDistCalculation, 0.001);
double[] theoreticalMasses = dist.Masses.ToArray();
double[] theoreticalIntensities = dist.Intensities.ToArray();
Array.Sort(theoreticalIntensities, theoreticalMasses, Comparer <double> .Create((x, y) => y.CompareTo(x)));
var ms1tupleBack = SearchMS1Spectra(theoreticalMasses, theoreticalIntensities, ms2scanNumber, -1, peptideCharge, identification);
var ms1tupleForward = SearchMS1Spectra(theoreticalMasses, theoreticalIntensities, ms2scanNumber, 1, peptideCharge, identification);
lock (lockObj)
{
Ms1List.AddRange(ms1tupleBack.Item1);
numMs1MassChargeCombinationsConsidered += ms1tupleBack.Item2;
numMs1MassChargeCombinationsThatAreIgnoredBecauseOfTooManyPeaks += ms1tupleBack.Item3;
Ms1List.AddRange(ms1tupleForward.Item1);
numMs1MassChargeCombinationsConsidered += ms1tupleForward.Item2;
numMs1MassChargeCombinationsThatAreIgnoredBecauseOfTooManyPeaks += ms1tupleForward.Item3;
}
}
});
return(new DataPointAquisitionResults(this,
Ms1List,
Ms2List,
numMs1MassChargeCombinationsConsidered,
numMs1MassChargeCombinationsThatAreIgnoredBecauseOfTooManyPeaks,
numMs2MassChargeCombinationsConsidered,
numMs2MassChargeCombinationsThatAreIgnoredBecauseOfTooManyPeaks
));
}
private (List <LabeledMs2DataPoint>, int, int, int) SearchMS2Spectrum(IMsDataScanWithPrecursor <IMzSpectrum <IMzPeak> > ms2DataScan, Proteomics.Peptide peptide, int peptideCharge, PeptideSpectralMatch identification)
{
List <LabeledMs2DataPoint> result = new List <LabeledMs2DataPoint>();
int numMs2MassChargeCombinationsConsidered = 0;
int numMs2MassChargeCombinationsThatAreIgnoredBecauseOfTooManyPeaks = 0;
int numFragmentsIdentified = 0;
if (ms2DataScan.MassSpectrum.Size == 0)
{
return(result, numMs2MassChargeCombinationsConsidered, numMs2MassChargeCombinationsThatAreIgnoredBecauseOfTooManyPeaks, numFragmentsIdentified);
}
// Key: mz value, Value: error
var addedPeaks = new Dictionary <double, double>();
var countForThisMS2 = 0;
var countForThisMS2a = 0;
var scanWindowRange = ms2DataScan.ScanWindowRange;
IHasChemicalFormula[] fragmentList = peptide.Fragment(fragmentTypesForCalibration, true).OfType <IHasChemicalFormula>().ToArray();
foreach (var fragment in fragmentList)
{
bool fragmentIdentified = false;
bool computedIsotopologues = false;
double[] masses = new double[0];
double[] intensities = new double[0];
// First look for monoisotopic masses, do not compute distribution spectrum!
for (int chargeToLookAt = 1; chargeToLookAt <= peptideCharge; chargeToLookAt++)
{
var monoisotopicMZ = fragment.MonoisotopicMass.ToMz(chargeToLookAt);
if (monoisotopicMZ > scanWindowRange.Maximum)
{
continue;
}
if (monoisotopicMZ < scanWindowRange.Minimum)
{
break;
}
var closestPeakMZ = ms2DataScan.MassSpectrum.GetClosestPeakXvalue(monoisotopicMZ);
if (mzToleranceForMs2Search.Within(closestPeakMZ.Value, monoisotopicMZ) && !computedIsotopologues)
{
var dist = IsotopicDistribution.GetDistribution(fragment.ThisChemicalFormula, fineResolutionForIsotopeDistCalculation, 0.001);
masses = dist.Masses.ToArray();
intensities = dist.Intensities.ToArray();
Array.Sort(intensities, masses, Comparer <double> .Create((x, y) => y.CompareTo(x)));
computedIsotopologues = true;
break;
}
}
if (computedIsotopologues)
{
bool startingToAdd = false;
for (int chargeToLookAt = 1; chargeToLookAt <= peptideCharge; chargeToLookAt++)
{
if (masses.First().ToMz(chargeToLookAt) > scanWindowRange.Maximum)
{
continue;
}
if (masses.Last().ToMz(chargeToLookAt) < scanWindowRange.Minimum)
{
break;
}
var trainingPointsToAverage = new List <LabeledMs2DataPoint>();
foreach (double a in masses)
{
double theMZ = a.ToMz(chargeToLookAt);
var npwr = ms2DataScan.MassSpectrum.NumPeaksWithinRange(mzToleranceForMs2Search.GetMinimumValue(theMZ), mzToleranceForMs2Search.GetMaximumValue(theMZ));
if (npwr == 0)
{
break;
}
numMs2MassChargeCombinationsConsidered++;
if (npwr > 1)
{
numMs2MassChargeCombinationsThatAreIgnoredBecauseOfTooManyPeaks++;
continue;
}
var closestPeakIndex = ms2DataScan.MassSpectrum.GetClosestPeakIndex(theMZ);
var closestPeakMZ = ms2DataScan.MassSpectrum.XArray[closestPeakIndex.Value];
if (!addedPeaks.ContainsKey(closestPeakMZ))
{
addedPeaks.Add(closestPeakMZ, Math.Abs(closestPeakMZ - theMZ));
trainingPointsToAverage.Add(new LabeledMs2DataPoint(closestPeakMZ, double.NaN, double.NaN, double.NaN, Math.Log(ms2DataScan.MassSpectrum.YArray[closestPeakIndex.Value]), theMZ, null));
}
}
// If started adding and suddnely stopped, go to next one, no need to look at higher charges
if (trainingPointsToAverage.Count == 0 && startingToAdd)
{
break;
}
if (trainingPointsToAverage.Count < Math.Min(minMS2isotopicPeaksNeededForConfirmedIdentification, intensities.Count()))
{
}
else
{
startingToAdd = true;
if (!fragmentIdentified)
{
fragmentIdentified = true;
numFragmentsIdentified += 1;
}
countForThisMS2 += trainingPointsToAverage.Count;
countForThisMS2a++;
result.Add(new LabeledMs2DataPoint(trainingPointsToAverage.Select(b => b.mz).Average(),
ms2DataScan.RetentionTime,
Math.Log(ms2DataScan.TotalIonCurrent),
ms2DataScan.InjectionTime.HasValue ? Math.Log(ms2DataScan.InjectionTime.Value) : double.NaN,
trainingPointsToAverage.Select(b => b.logIntensity).Average(),
trainingPointsToAverage.Select(b => b.expectedMZ).Average(),
identification));
}
}
}
}
return(result, numMs2MassChargeCombinationsConsidered, numMs2MassChargeCombinationsThatAreIgnoredBecauseOfTooManyPeaks, numFragmentsIdentified);
}
private (List <LabeledMs1DataPoint>, int, int) SearchMS1Spectra(double[] theoreticalMasses, double[] theoreticalIntensities, int ms2spectrumIndex, int direction, int peptideCharge, PeptideSpectralMatch identification)
{
List <LabeledMs1DataPoint> result = new List <LabeledMs1DataPoint>();
int numMs1MassChargeCombinationsConsidered = 0;
int numMs1MassChargeCombinationsThatAreIgnoredBecauseOfTooManyPeaks = 0;
int theIndex;
theIndex = direction == 1 ? ms2spectrumIndex : ms2spectrumIndex - 1;
bool addedAscan = true;
int highestKnownChargeForThisPeptide = peptideCharge;
while (theIndex >= 1 && theIndex <= myMsDataFile.NumSpectra && addedAscan)
{
int countForThisScan = 0;
if (myMsDataFile.GetOneBasedScan(theIndex).MsnOrder > 1)
{
theIndex += direction;
continue;
}
addedAscan = false;
var fullMS1scan = myMsDataFile.GetOneBasedScan(theIndex);
var scanWindowRange = fullMS1scan.ScanWindowRange;
var fullMS1spectrum = fullMS1scan.MassSpectrum;
if (fullMS1spectrum.Size == 0)
{
break;
}
bool startingToAddCharges = false;
int chargeToLookAt = 1;
do
{
if (theoreticalMasses[0].ToMz(chargeToLookAt) > scanWindowRange.Maximum)
{
chargeToLookAt++;
continue;
}
if (theoreticalMasses[0].ToMz(chargeToLookAt) < scanWindowRange.Minimum)
{
break;
}
var trainingPointsToAverage = new List <LabeledMs1DataPoint>();
foreach (double a in theoreticalMasses)
{
double theMZ = a.ToMz(chargeToLookAt);
var npwr = fullMS1spectrum.NumPeaksWithinRange(mzToleranceForMs1Search.GetMinimumValue(theMZ), mzToleranceForMs1Search.GetMaximumValue(theMZ));
if (npwr == 0)
{
break;
}
numMs1MassChargeCombinationsConsidered++;
if (npwr > 1)
{
numMs1MassChargeCombinationsThatAreIgnoredBecauseOfTooManyPeaks++;
continue;
}
var closestPeakIndex = fullMS1spectrum.GetClosestPeakIndex(theMZ);
var closestPeakMZ = fullMS1spectrum.XArray[closestPeakIndex.Value];
highestKnownChargeForThisPeptide = Math.Max(highestKnownChargeForThisPeptide, chargeToLookAt);
trainingPointsToAverage.Add(new LabeledMs1DataPoint(closestPeakMZ, double.NaN, double.NaN, double.NaN, Math.Log(fullMS1spectrum.YArray[closestPeakIndex.Value]), theMZ, null));
}
// If started adding and suddnely stopped, go to next one, no need to look at higher charges
if (trainingPointsToAverage.Count == 0 && startingToAddCharges)
{
break;
}
if ((trainingPointsToAverage.Count == 0 || (trainingPointsToAverage.Count == 1 && theoreticalIntensities[0] < 0.65)) && (peptideCharge <= chargeToLookAt))
{
break;
}
if ((trainingPointsToAverage.Count == 1 && theoreticalIntensities[0] < 0.65) ||
trainingPointsToAverage.Count < Math.Min(minMS1isotopicPeaksNeededForConfirmedIdentification, theoreticalIntensities.Count()))
{
}
else
{
addedAscan = true;
startingToAddCharges = true;
countForThisScan++;
result.Add(new LabeledMs1DataPoint(trainingPointsToAverage.Select(b => b.mz).Average(),
fullMS1scan.RetentionTime,
Math.Log(fullMS1scan.TotalIonCurrent),
fullMS1scan.InjectionTime.HasValue ? Math.Log(fullMS1scan.InjectionTime.Value) : double.NaN,
trainingPointsToAverage.Select(b => b.logIntensity).Average(),
trainingPointsToAverage.Select(b => b.expectedMZ).Average(),
identification));
}
chargeToLookAt++;
} while (chargeToLookAt <= highestKnownChargeForThisPeptide + 1);
theIndex += direction;
}
return(result, numMs1MassChargeCombinationsConsidered, numMs1MassChargeCombinationsThatAreIgnoredBecauseOfTooManyPeaks);
}
public static void TestAnalysisEngineTests()
{
List <DigestionMotif> motifs = new List <DigestionMotif> {
new DigestionMotif("K", null, 1, null)
};
Protease protease = new Protease("Custom Protease5", CleavageSpecificity.Full, null, null, motifs);
ProteaseDictionary.Dictionary.Add(protease.Name, protease);
CommonParameters CommonParameters = new CommonParameters(
digestionParams: new DigestionParams(
protease: protease.Name,
maxMissedCleavages: 0,
minPeptideLength: 1,
maxModificationIsoforms: 1042),
scoreCutoff: 1,
productMassTolerance: new PpmTolerance(10));
var fsp = new List <(string fileName, CommonParameters fileSpecificParameters)>();
fsp.Add(("", CommonParameters));
List <Modification> localizeableModifications = new List <Modification>();
List <Modification> variableModifications = new List <Modification>();
List <Modification> fixedModifications = new List <Modification>();
Dictionary <Modification, ushort> modsDictionary = new Dictionary <Modification, ushort>();
foreach (var mod in fixedModifications)
{
modsDictionary.Add(mod, 0);
}
int i = 1;
foreach (var mod in variableModifications)
{
modsDictionary.Add(mod, (ushort)i);
i++;
}
foreach (var mod in localizeableModifications)
{
modsDictionary.Add(mod, (ushort)i);
i++;
}
var proteinList = new List <Protein> {
new Protein("MNNNKQQQ", "accession")
};
var modPep = proteinList.First().Digest(CommonParameters.DigestionParams, fixedModifications, variableModifications).Last();
HashSet <PeptideWithSetModifications> value1 = new HashSet <PeptideWithSetModifications> {
modPep
};
PeptideWithSetModifications compactPeptide1 = value1.First();
Assert.AreEqual("QQQ", value1.First().BaseSequence);
var modPep2 = proteinList.First().Digest(CommonParameters.DigestionParams, fixedModifications, variableModifications).First();
HashSet <PeptideWithSetModifications> value2 = new HashSet <PeptideWithSetModifications> {
modPep2
};
PeptideWithSetModifications compactPeptide2 = value2.First();
Assert.AreEqual("MNNNK", value2.First().BaseSequence);
var modPep3 = proteinList.First().Digest(CommonParameters.DigestionParams, fixedModifications, variableModifications).ToList()[1];
HashSet <PeptideWithSetModifications> value3 = new HashSet <PeptideWithSetModifications> {
modPep3
};
PeptideWithSetModifications compactPeptide3 = value3.First();
Assert.AreEqual("NNNK", value3.First().BaseSequence);
Ms2ScanWithSpecificMass scanA = new Ms2ScanWithSpecificMass(new MsDataScan(new MzSpectrum(new double[] { 1 }, new double[] { 1 }, false), 2, 1, true, Polarity.Positive, double.NaN, null, null, MZAnalyzerType.Orbitrap, double.NaN, null, null, "scan=1", double.NaN, null, null, double.NaN, null, DissociationType.AnyActivationType, 1, null), 1, 1, null, new CommonParameters());
Ms2ScanWithSpecificMass scanB = new Ms2ScanWithSpecificMass(new MsDataScan(new MzSpectrum(new double[] { 1 }, new double[] { 1 }, false), 3, 1, true, Polarity.Positive, double.NaN, null, null, MZAnalyzerType.Orbitrap, double.NaN, null, null, "scan=2", double.NaN, null, null, double.NaN, null, DissociationType.AnyActivationType, 1, null), 2 + 132.040, 1, null, new CommonParameters());
Ms2ScanWithSpecificMass scanC = new Ms2ScanWithSpecificMass(new MsDataScan(new MzSpectrum(new double[] { 1 }, new double[] { 1 }, false), 4, 1, true, Polarity.Positive, double.NaN, null, null, MZAnalyzerType.Orbitrap, double.NaN, null, null, "scan=3", double.NaN, null, null, double.NaN, null, DissociationType.AnyActivationType, 1, null), 3, 1, null, new CommonParameters());
PeptideSpectralMatch matchA = new PeptideSpectralMatch(compactPeptide1, 0, 0, 0, scanA, CommonParameters, new List <MatchedFragmentIon>());
PeptideSpectralMatch matchB = new PeptideSpectralMatch(compactPeptide2, 0, 0, 0, scanB, CommonParameters, new List <MatchedFragmentIon>());
PeptideSpectralMatch matchC = new PeptideSpectralMatch(compactPeptide3, 0, 0, 0, scanC, CommonParameters, new List <MatchedFragmentIon>());
var newPsms = new List <PeptideSpectralMatch> {
matchA, matchB, matchC
};
MsDataFile myMsDataFile = new TestDataFile(new List <PeptideWithSetModifications> {
value1.First(), value2.First(), value3.First()
});
var searchMode = new SinglePpmAroundZeroSearchMode(5);
Action <List <PeptideSpectralMatch>, string, List <string> > action2 = (List <PeptideSpectralMatch> l, string s, List <string> sdf) => {; };
Tolerance DeconvolutionMassTolerance = new PpmTolerance(5);
var arrayOfMs2ScansSortedByMass = MetaMorpheusTask.GetMs2Scans(myMsDataFile, null, new CommonParameters()).OrderBy(b => b.PrecursorMass).ToArray();
Action <BinTreeStructure, string> action1 = (BinTreeStructure l, string s) =>
{
Assert.AreEqual(1, l.FinalBins.Count);
};
FdrAnalysisEngine engine = new FdrAnalysisEngine(newPsms, searchMode.NumNotches, CommonParameters, fsp, new List <string> {
"ff"
});
engine.Run();
}
public static void TestDeltaValues()
{
CommonParameters CommonParameters = new CommonParameters(scoreCutoff: 1, useDeltaScore: true, digestionParams: new DigestionParams(minPeptideLength: 5));
SearchParameters SearchParameters = new SearchParameters
{
MassDiffAcceptorType = MassDiffAcceptorType.Exact,
};
List <Modification> variableModifications = GlobalVariables.AllModsKnown.OfType <Modification>().Where(b => CommonParameters.ListOfModsVariable.Contains((b.ModificationType, b.IdWithMotif))).ToList();
List <Modification> fixedModifications = GlobalVariables.AllModsKnown.OfType <Modification>().Where(b => CommonParameters.ListOfModsFixed.Contains((b.ModificationType, b.IdWithMotif))).ToList();
// Generate data for files
Protein TargetProtein1 = new Protein("TIDEANTHE", "accession1");
Protein TargetProtein2 = new Protein("TIDELVE", "accession2");
Protein TargetProtein3 = new Protein("TIDENIE", "accession3");
Protein TargetProteinLost = new Protein("PEPTIDEANTHE", "accession4");
Protein DecoyProteinFound = new Protein("PETPLEDQGTHE", "accessiond", isDecoy: true);
MsDataFile myMsDataFile = new TestDataFile(new List <PeptideWithSetModifications>
{
TargetProtein1.Digest(CommonParameters.DigestionParams, fixedModifications, variableModifications).ToList()[0],
TargetProtein2.Digest(CommonParameters.DigestionParams, fixedModifications, variableModifications).ToList()[0],
TargetProtein3.Digest(CommonParameters.DigestionParams, fixedModifications, variableModifications).ToList()[0],
DecoyProteinFound.Digest(CommonParameters.DigestionParams, fixedModifications, variableModifications).ToList()[0]
});
var proteinList = new List <Protein> {
TargetProtein1, TargetProtein2, TargetProtein3, TargetProteinLost, DecoyProteinFound
};
var searchModes = new SinglePpmAroundZeroSearchMode(5);
Tolerance DeconvolutionMassTolerance = new PpmTolerance(5);
var listOfSortedms2Scans = MetaMorpheusTask.GetMs2Scans(myMsDataFile, null, new CommonParameters()).OrderBy(b => b.PrecursorMass).ToArray();
//check better when using delta
PeptideSpectralMatch[] allPsmsArray = new PeptideSpectralMatch[listOfSortedms2Scans.Length];
new ClassicSearchEngine(allPsmsArray, listOfSortedms2Scans, variableModifications, fixedModifications, null, proteinList, searchModes, CommonParameters, new List <string>()).Run();
var indexEngine = new IndexingEngine(proteinList, variableModifications, fixedModifications, null, 1, DecoyType.None, CommonParameters, 30000, false, new List <FileInfo>(), new List <string>());
var indexResults = (IndexingResults)indexEngine.Run();
MassDiffAcceptor massDiffAcceptor = SearchTask.GetMassDiffAcceptor(CommonParameters.PrecursorMassTolerance, SearchParameters.MassDiffAcceptorType, SearchParameters.CustomMdac);
PeptideSpectralMatch[] allPsmsArrayModern = new PeptideSpectralMatch[listOfSortedms2Scans.Length];
new ModernSearchEngine(allPsmsArrayModern, listOfSortedms2Scans, indexResults.PeptideIndex, indexResults.FragmentIndex, 0, CommonParameters, massDiffAcceptor, 0, new List <string>()).Run();
FdrAnalysisResults fdrResultsClassicDelta = (FdrAnalysisResults)(new FdrAnalysisEngine(allPsmsArray.ToList(), 1, CommonParameters, new List <string>()).Run());
FdrAnalysisResults fdrResultsModernDelta = (FdrAnalysisResults)(new FdrAnalysisEngine(allPsmsArrayModern.ToList(), 1, CommonParameters, new List <string>()).Run());
Assert.IsTrue(fdrResultsClassicDelta.PsmsWithin1PercentFdr == 3);
Assert.IsTrue(fdrResultsModernDelta.PsmsWithin1PercentFdr == 3);
CommonParameters = new CommonParameters(digestionParams: new DigestionParams(minPeptideLength: 5));
//check worse when using score
FdrAnalysisResults fdrResultsClassic = (FdrAnalysisResults)(new FdrAnalysisEngine(allPsmsArray.ToList(), 1, CommonParameters, new List <string>()).Run());
FdrAnalysisResults fdrResultsModern = (FdrAnalysisResults)(new FdrAnalysisEngine(allPsmsArray.ToList(), 1, CommonParameters, new List <string>()).Run());
Assert.IsTrue(fdrResultsClassic.PsmsWithin1PercentFdr == 0);
Assert.IsTrue(fdrResultsModern.PsmsWithin1PercentFdr == 0);
//check that when delta is bad, we used the score
// Generate data for files
Protein DecoyProtein1 = new Protein("TLEDAGGTHE", "accession1d", isDecoy: true);
Protein DecoyProtein2 = new Protein("TLEDLVE", "accession2d", isDecoy: true);
Protein DecoyProtein3 = new Protein("TLEDNIE", "accession3d", isDecoy: true);
Protein DecoyProteinShiny = new Protein("GGGGGG", "accessionShinyd", isDecoy: true);
myMsDataFile = new TestDataFile(new List <PeptideWithSetModifications>
{
TargetProtein1.Digest(CommonParameters.DigestionParams, fixedModifications, variableModifications).ToList()[0],
TargetProtein2.Digest(CommonParameters.DigestionParams, fixedModifications, variableModifications).ToList()[0],
TargetProtein3.Digest(CommonParameters.DigestionParams, fixedModifications, variableModifications).ToList()[0],
DecoyProteinShiny.Digest(CommonParameters.DigestionParams, fixedModifications, variableModifications).ToList()[0],
});
proteinList = new List <Protein>
{
TargetProtein1, DecoyProtein1,
TargetProtein2, DecoyProtein2,
TargetProtein3, DecoyProtein3,
DecoyProteinShiny,
};
listOfSortedms2Scans = MetaMorpheusTask.GetMs2Scans(myMsDataFile, null, new CommonParameters()).OrderBy(b => b.PrecursorMass).ToArray();
//check no change when using delta
allPsmsArray = new PeptideSpectralMatch[listOfSortedms2Scans.Length];
new ClassicSearchEngine(allPsmsArray, listOfSortedms2Scans, variableModifications, fixedModifications, null, proteinList, searchModes, CommonParameters, new List <string>()).Run();
CommonParameters = new CommonParameters(useDeltaScore: true, digestionParams: new DigestionParams(minPeptideLength: 5));
indexEngine = new IndexingEngine(proteinList, variableModifications, fixedModifications, null, 1, DecoyType.None, CommonParameters, 30000, false, new List <FileInfo>(), new List <string>());
indexResults = (IndexingResults)indexEngine.Run();
massDiffAcceptor = SearchTask.GetMassDiffAcceptor(CommonParameters.PrecursorMassTolerance, SearchParameters.MassDiffAcceptorType, SearchParameters.CustomMdac);
allPsmsArrayModern = new PeptideSpectralMatch[listOfSortedms2Scans.Length];
new ModernSearchEngine(allPsmsArrayModern, listOfSortedms2Scans, indexResults.PeptideIndex, indexResults.FragmentIndex, 0, CommonParameters, massDiffAcceptor, 0, new List <string>()).Run();
fdrResultsClassicDelta = (FdrAnalysisResults)(new FdrAnalysisEngine(allPsmsArray.ToList(), 1, CommonParameters, new List <string>()).Run());
fdrResultsModernDelta = (FdrAnalysisResults)(new FdrAnalysisEngine(allPsmsArrayModern.ToList(), 1, CommonParameters, new List <string>()).Run());
Assert.IsTrue(fdrResultsClassicDelta.PsmsWithin1PercentFdr == 3);
Assert.IsTrue(fdrResultsModernDelta.PsmsWithin1PercentFdr == 3);
CommonParameters = new CommonParameters(digestionParams: new DigestionParams(minPeptideLength: 5));
//check no change when using score
fdrResultsClassic = (FdrAnalysisResults)(new FdrAnalysisEngine(allPsmsArray.ToList(), 1, CommonParameters, new List <string>()).Run());
fdrResultsModern = (FdrAnalysisResults)(new FdrAnalysisEngine(allPsmsArrayModern.ToList(), 1, CommonParameters, new List <string>()).Run());
Assert.IsTrue(fdrResultsClassic.PsmsWithin1PercentFdr == 3);
Assert.IsTrue(fdrResultsModern.PsmsWithin1PercentFdr == 3);
}
public static void TestComputePEPValue()
{
var variableModifications = new List <Modification>();
var fixedModifications = new List <Modification>();
var origDataFile = Path.Combine(TestContext.CurrentContext.TestDirectory, @"TestData\TaGe_SA_HeLa_04_subset_longestSeq.mzML");
MyFileManager myFileManager = new MyFileManager(true);
CommonParameters CommonParameters = new CommonParameters(digestionParams: new DigestionParams());
var myMsDataFile = myFileManager.LoadFile(origDataFile, CommonParameters);
var searchModes = new SinglePpmAroundZeroSearchMode(5);
List <Protein> proteinList = ProteinDbLoader.LoadProteinFasta(Path.Combine(TestContext.CurrentContext.TestDirectory, @"TestData\hela_snip_for_unitTest.fasta"), true, DecoyType.Reverse, false, ProteinDbLoader.UniprotAccessionRegex, ProteinDbLoader.UniprotFullNameRegex, ProteinDbLoader.UniprotFullNameRegex, ProteinDbLoader.UniprotGeneNameRegex,
ProteinDbLoader.UniprotOrganismRegex, out var dbErrors, -1);
var listOfSortedms2Scans = MetaMorpheusTask.GetMs2Scans(myMsDataFile, null, CommonParameters).OrderBy(b => b.PrecursorMass).ToArray();
PeptideSpectralMatch[] allPsmsArray = new PeptideSpectralMatch[listOfSortedms2Scans.Length];
new ClassicSearchEngine(allPsmsArray, listOfSortedms2Scans, variableModifications, fixedModifications, null, proteinList, searchModes, CommonParameters, new List <string>()).Run();
FdrAnalysisResults fdrResultsClassicDelta = (FdrAnalysisResults)(new FdrAnalysisEngine(allPsmsArray.Where(p => p != null).ToList(), 1, CommonParameters, new List <string>()).Run());
var nonNullPsms = allPsmsArray.Where(p => p != null).ToList();
var nonNullPsmsOriginalCopy = allPsmsArray.Where(p => p != null).ToList();
var accessionCounts = PEP_Analysis.GetAccessionCounts(nonNullPsms);
var maxScore = nonNullPsms.Select(n => n.Score).Max();
var maxScorePsm = nonNullPsms.Where(n => n.Score == maxScore).First();
Dictionary <string, int> sequenceToPsmCount = new Dictionary <string, int>();
List <string> sequences = new List <string>();
foreach (PeptideSpectralMatch psm in nonNullPsms)
{
var ss = psm.BestMatchingPeptides.Select(b => b.Peptide.FullSequence).ToList();
sequences.Add(String.Join("|", ss));
}
var s = sequences.GroupBy(i => i);
foreach (var grp in s)
{
sequenceToPsmCount.Add(grp.Key, grp.Count());
}
var maxPsmData = PEP_Analysis.CreateOnePsmDataFromPsm(maxScorePsm, accessionCounts, sequenceToPsmCount);
Assert.That(maxScorePsm.PeptidesToMatchingFragments.Count, Is.EqualTo(maxPsmData.Ambiguity));
Assert.That(maxScorePsm.DeltaScore, Is.EqualTo(maxPsmData.DeltaScore).Within(0.05));
Assert.That((float)(maxScorePsm.Score - (int)maxScorePsm.Score), Is.EqualTo(maxPsmData.Intensity).Within(0.05));
Assert.That(maxScorePsm.BestMatchingPeptides.Select(p => p.Peptide).First().MissedCleavages, Is.EqualTo(maxPsmData.MissedCleavagesCount));
Assert.That(maxScorePsm.BestMatchingPeptides.Select(p => p.Peptide).First().AllModsOneIsNterminus.Values.Count(), Is.EqualTo(maxPsmData.ModsCount));
Assert.That(maxScorePsm.Notch ?? 0, Is.EqualTo(maxPsmData.Notch));
Assert.That(maxScorePsm.PsmCount, Is.EqualTo(maxPsmData.PsmCount));
Assert.That(maxScorePsm.ScanPrecursorCharge, Is.EqualTo(maxPsmData.ScanPrecursorCharge));
PEP_Analysis.ComputePEPValuesForAllPSMsGeneric(nonNullPsms);
int trueCount = 0;
foreach (var item in allPsmsArray.Where(p => p != null))
{
var b = item.FdrInfo.PEP;
if (b >= 0.5)
{
trueCount++;
}
}
Assert.GreaterOrEqual(32, trueCount);
}
public static void TryFailSequenceCoverage()
{
var prot1 = new Protein("MMKMMK", "prot1");
ModificationMotif.TryGetMotif("M", out ModificationMotif motifM);
Modification mod1 = new Modification(_originalId: "mod1", _modificationType: "mt", _target: motifM, _locationRestriction: "N-terminal.", _monoisotopicMass: 10);
Modification mod2 = new Modification(_originalId: "mod2", _modificationType: "mt", _target: motifM, _locationRestriction: "Peptide N-terminal.", _monoisotopicMass: 10);
Modification mod3 = new Modification(_originalId: "mod3", _modificationType: "mt", _target: motifM, _locationRestriction: "Anywhere.", _monoisotopicMass: 10);
ModificationMotif.TryGetMotif("K", out ModificationMotif motifK);
Modification mod4 = new Modification(_originalId: "mod4", _modificationType: "mt", _target: motifK, _locationRestriction: "Peptide C-terminal.", _monoisotopicMass: 10);
Modification mod5 = new Modification(_originalId: "mod5", _modificationType: "mt", _target: motifK, _locationRestriction: "C-terminal.", _monoisotopicMass: 10);
Dictionary <int, Modification> modsFor1 = new Dictionary <int, Modification>
{
{ 1, mod1 },
{ 3, mod3 },
{ 5, mod4 },
};
Dictionary <int, Modification> modsFor2 = new Dictionary <int, Modification>
{
{ 1, mod2 },
{ 5, mod5 },
};
Dictionary <int, Modification> modsFor3 = new Dictionary <int, Modification>
{
{ 1, mod1 },
{ 5, mod3 },
{ 8, mod5 }
};
DigestionParams digestionParams = new DigestionParams();
var pwsm1 = new PeptideWithSetModifications(prot1, digestionParams, 1, 3, CleavageSpecificity.Unknown, "", 0, modsFor1, 0);
var pwsm2 = new PeptideWithSetModifications(prot1, digestionParams, 4, 6, CleavageSpecificity.Unknown, "", 0, modsFor2, 0);
var pwsm3 = new PeptideWithSetModifications(prot1, digestionParams, 1, 6, CleavageSpecificity.Unknown, "", 0, modsFor3, 0);
HashSet <PeptideWithSetModifications> peptides = new HashSet <PeptideWithSetModifications>
{
pwsm1,
pwsm2,
pwsm3,
};
IScan scan = new ThisTestScan();
var psm1 = new PeptideSpectralMatch(pwsm1, 0, 1, 0, scan, digestionParams, new List <MatchedFragmentIon>());
psm1.SetFdrValues(0, 0, 0, 0, 0, 0, 0, 0, 0, false);
var psm2 = new PeptideSpectralMatch(pwsm2, 0, 1, 0, scan, digestionParams, new List <MatchedFragmentIon>());
psm2.SetFdrValues(0, 0, 0, 0, 0, 0, 0, 0, 0, false);
var psm3 = new PeptideSpectralMatch(pwsm3, 0, 1, 0, scan, digestionParams, new List <MatchedFragmentIon>());
psm3.SetFdrValues(0, 0, 0, 0, 0, 0, 0, 0, 0, false);
List <PeptideSpectralMatch> newPsms = new List <PeptideSpectralMatch>
{
psm1,
psm2,
psm3,
};
newPsms.ForEach(p => p.ResolveAllAmbiguities());
ProteinParsimonyEngine ppe = new ProteinParsimonyEngine(newPsms, true, new CommonParameters(), new List <string>());
ProteinParsimonyResults fjkd = (ProteinParsimonyResults)ppe.Run();
ProteinScoringAndFdrEngine psafe = new ProteinScoringAndFdrEngine(fjkd.ProteinGroups, newPsms, true, true, true, new CommonParameters(), new List <string>());
psafe.Run();
fjkd.ProteinGroups.First().CalculateSequenceCoverage();
var firstSequenceCoverageDisplayList = fjkd.ProteinGroups.First().SequenceCoverageDisplayList.First();
Assert.AreEqual("MMKMMK", firstSequenceCoverageDisplayList);
var firstSequenceCoverageDisplayListWithMods = fjkd.ProteinGroups.First().SequenceCoverageDisplayListWithMods.First();
Assert.AreEqual("[mod1 on M]-MM[mod3 on M]KM[mod3 on M]MK-[mod5 on K]", firstSequenceCoverageDisplayListWithMods);
var firstModInfo = fjkd.ProteinGroups.First().ModsInfo.First();
Assert.IsTrue(firstModInfo.Contains(@"#aa1[mod1 on M,info:occupancy=1.00(2/2)]"));
Assert.IsTrue(firstModInfo.Contains(@"#aa2[mod3 on M,info:occupancy=0.50(1/2)]"));
Assert.IsFalse(firstModInfo.Contains(@"#aa3"));
Assert.IsTrue(firstModInfo.Contains(@"#aa4[mod3 on M,info:occupancy=0.50(1/2)]"));
Assert.IsFalse(firstModInfo.Contains(@"#aa5"));
Assert.IsTrue(firstModInfo.Contains(@"#aa6[mod5 on K,info:occupancy=1.00(2/2)]"));
}
public static void AddCompIonsCommonParams()
{
CommonParameters cp = new CommonParameters(null, DissociationType.HCD, DissociationType.Unknown, DissociationType.Unknown, null, true, true, 3, 12, true, true, 1,
5, 200, 0.01, null, null, false, false, true, false, null, null, null, -1, null, null, null, 1, true, 4, 1);
var myMsDataFile = new TestDataFile();
var variableModifications = new List <Modification>();
var fixedModifications = new List <Modification>();
var localizeableModifications = new List <Modification>();
Dictionary <Modification, ushort> modsDictionary = new Dictionary <Modification, ushort>();
foreach (var mod in fixedModifications)
{
modsDictionary.Add(mod, 0);
}
int ii = 1;
foreach (var mod in variableModifications)
{
modsDictionary.Add(mod, (ushort)ii);
ii++;
}
foreach (var mod in localizeableModifications)
{
modsDictionary.Add(mod, (ushort)ii);
ii++;
}
var proteinList = new List <Protein> {
new Protein("MNNNKQQQ", null)
};
SearchParameters SearchParameters = new SearchParameters
{
MassDiffAcceptorType = MassDiffAcceptorType.Exact,
SearchTarget = true,
};
List <DigestionMotif> motifs = new List <DigestionMotif> {
new DigestionMotif("K", null, 1, null)
};
Protease protease = new Protease("Test", CleavageSpecificity.Full, null, null, motifs);
ProteaseDictionary.Dictionary.Add(protease.Name, protease);
var fsp = new List <(string fileName, CommonParameters fileSpecificParameters)>();
fsp.Add(("", cp));
var indexEngine = new IndexingEngine(proteinList, variableModifications, fixedModifications, new List <SilacLabel>(), null, null,
1, DecoyType.Reverse, cp, fsp, SearchParameters.MaxFragmentSize, false, new List <FileInfo>(), TargetContaminantAmbiguity.RemoveContaminant, new List <string>());
var indexResults = (IndexingResults)indexEngine.Run();
Tolerance DeconvolutionMassTolerance = new PpmTolerance(5);
var listOfSortedms2Scans = MetaMorpheusTask.GetMs2Scans(myMsDataFile, null, new CommonParameters()).OrderBy(b => b.PrecursorMass).ToArray();
MassDiffAcceptor massDiffAcceptor = SearchTask.GetMassDiffAcceptor(cp.PrecursorMassTolerance, SearchParameters.MassDiffAcceptorType, SearchParameters.CustomMdac);
// without complementary ions
PeptideSpectralMatch[] allPsmsArray = new PeptideSpectralMatch[listOfSortedms2Scans.Length];
var mse = new ModernSearchEngine(allPsmsArray, listOfSortedms2Scans, indexResults.PeptideIndex, indexResults.FragmentIndex, 0, cp, fsp, massDiffAcceptor, SearchParameters.MaximumMassThatFragmentIonScoreIsDoubled, new List <string>()).Run();
}
public static void TestReverseDecoyGenerationDuringSearch()
{
CommonParameters CommonParameters = new CommonParameters();
MetaMorpheusTask.DetermineAnalyteType(CommonParameters);
var variableModifications = new List <Modification>();
var fixedModifications = new List <Modification>();
var proteinList = new List <Protein>
{
new Protein("KKAEDGINK", ""), new Protein("AVNSISLK", ""), new Protein("EKAEAEAEK", ""), new Protein("DITANLR", ""), new Protein("QNAIGTAK", ""),
new Protein("FHKSQLNK", ""), new Protein("KQVAQWNK", ""), new Protein("NTRIEELK", ""), new Protein("RQPAQPR", ""),
};
var myMsDataFile = Mzml.LoadAllStaticData(Path.Combine(TestContext.CurrentContext.TestDirectory, @"TestData\SmallCalibratible_Yeast.mzML"));
var searchMode = new SinglePpmAroundZeroSearchMode(5);
Tolerance DeconvolutionMassTolerance = new PpmTolerance(5);
var listOfSortedms2Scans = MetaMorpheusTask.GetMs2Scans(myMsDataFile, null, new CommonParameters()).OrderBy(b => b.PrecursorMass).ToArray();
var path = Path.Combine(TestContext.CurrentContext.TestDirectory, @"TestData\myPrositLib.msp");
var testLibrary = new SpectralLibrary(new List <string> {
path
});
//test when doing spectral library search without generating library
PeptideSpectralMatch[] allPsmsArray1 = new PeptideSpectralMatch[listOfSortedms2Scans.Length];
new ClassicSearchEngine(allPsmsArray1, listOfSortedms2Scans, variableModifications, fixedModifications, null, null, null,
proteinList, searchMode, CommonParameters, null, testLibrary, new List <string>(), false).Run();
var psm1 = allPsmsArray1.Where(p => p != null).ToList();
Assert.That(psm1[0].IsDecoy == false && psm1[0].FullSequence == "DITANLR");
Assert.That(psm1[1].IsDecoy == true && psm1[1].FullSequence == "LSISNVAK");
Assert.That(psm1[2].IsDecoy == true && psm1[2].FullSequence == "LSISNVAK");
Assert.That(psm1[3].IsDecoy == false && psm1[3].FullSequence == "RQPAQPR");
Assert.That(psm1[4].IsDecoy == false && psm1[4].FullSequence == "KKAEDGINK");
Assert.That(psm1[5].IsDecoy == false && psm1[5].FullSequence == "EKAEAEAEK");
Assert.That(psm1[6].IsDecoy == false && psm1[6].FullSequence == "EKAEAEAEK");
proteinList.Add(new Protein("LSISNVAK", "", isDecoy: true));
//test when doing spectral library search with generating library; non spectral search won't generate decoy by "decoy on the fly" , so proteinlist used by non spectral library search would contain decoys
PeptideSpectralMatch[] allPsmsArray2 = new PeptideSpectralMatch[listOfSortedms2Scans.Length];
new ClassicSearchEngine(allPsmsArray2, listOfSortedms2Scans, variableModifications, fixedModifications, null, null, null,
proteinList, searchMode, CommonParameters, null, testLibrary, new List <string>(), true).Run();
var psm2 = allPsmsArray2.Where(p => p != null).ToList();
Assert.That(psm2[0].IsDecoy == false && psm2[0].FullSequence == "DITANLR");
Assert.That(psm2[1].IsDecoy == true && psm2[1].FullSequence == "LSISNVAK");
Assert.That(psm2[2].IsDecoy == true && psm2[2].FullSequence == "LSISNVAK");
Assert.That(psm2[3].IsDecoy == false && psm2[3].FullSequence == "RQPAQPR");
Assert.That(psm2[4].IsDecoy == false && psm2[4].FullSequence == "KKAEDGINK");
Assert.That(psm2[5].IsDecoy == false && psm2[5].FullSequence == "EKAEAEAEK");
Assert.That(psm2[6].IsDecoy == false && psm2[6].FullSequence == "EKAEAEAEK");
//test when doing non spectral library search without generating library
PeptideSpectralMatch[] allPsmsArray3 = new PeptideSpectralMatch[listOfSortedms2Scans.Length];
new ClassicSearchEngine(allPsmsArray3, listOfSortedms2Scans, variableModifications, fixedModifications, null, null, null,
proteinList, searchMode, CommonParameters, null, null, new List <string>(), false).Run();
var psm3 = allPsmsArray3.Where(p => p != null).ToList();
Assert.That(psm3[0].IsDecoy == false && psm3[0].FullSequence == "DITANLR");
Assert.That(psm3[1].IsDecoy == true && psm3[1].FullSequence == "LSISNVAK");
Assert.That(psm3[2].IsDecoy == true && psm3[2].FullSequence == "LSISNVAK");
Assert.That(psm3[3].IsDecoy == false && psm3[3].FullSequence == "RQPAQPR");
Assert.That(psm3[4].IsDecoy == false && psm3[4].FullSequence == "KKAEDGINK");
Assert.That(psm3[5].IsDecoy == false && psm3[5].FullSequence == "EKAEAEAEK");
Assert.That(psm3[6].IsDecoy == false && psm3[6].FullSequence == "EKAEAEAEK");
//test when doing non spectral library search with generating library
PeptideSpectralMatch[] allPsmsArray4 = new PeptideSpectralMatch[listOfSortedms2Scans.Length];
new ClassicSearchEngine(allPsmsArray4, listOfSortedms2Scans, variableModifications, fixedModifications, null, null, null,
proteinList, searchMode, CommonParameters, null, null, new List <string>(), true).Run();
var psm4 = allPsmsArray4.Where(p => p != null).ToList();
Assert.That(psm4[0].IsDecoy == false && psm4[0].FullSequence == "DITANLR");
Assert.That(psm4[1].IsDecoy == true && psm4[1].FullSequence == "LSISNVAK");
Assert.That(psm4[2].IsDecoy == true && psm4[2].FullSequence == "LSISNVAK");
Assert.That(psm4[3].IsDecoy == false && psm4[3].FullSequence == "RQPAQPR");
Assert.That(psm4[4].IsDecoy == false && psm4[4].FullSequence == "KKAEDGINK");
Assert.That(psm4[5].IsDecoy == false && psm4[5].FullSequence == "EKAEAEAEK");
Assert.That(psm4[6].IsDecoy == false && psm4[6].FullSequence == "EKAEAEAEK");
//compare psm's target/decoy results in 4 conditions. they should be same as new decoy methods shouldn't change the t/d results
for (int i = 0; i < psm1.Count; i++)
{
Assert.That(psm1[i].FullSequence == psm2[i].FullSequence && psm3[i].FullSequence == psm3[i].FullSequence && psm2[i].FullSequence == psm3[i].FullSequence);
Assert.That(psm1[i].IsDecoy == psm2[i].IsDecoy && psm3[i].IsDecoy == psm3[i].IsDecoy && psm2[i].IsDecoy == psm3[i].IsDecoy);
}
//compare MetaMorpheus scores in 4 conditions; for some psms, they should have a little higher score when "generating library" as they switch to all charges ions matching function
for (int j = 0; j < psm1.Count; j++)
{
if (psm1[j].FullSequence == psm2[j].FullSequence && psm1[j].MatchedFragmentIons.Count != psm2[j].MatchedFragmentIons.Count)
{
Assert.That(psm1[j].Score < psm2[j].Score);
}
}
}
public static void TestMatchIonsOfAllChargesTopDown()
{
CommonParameters CommonParameters = new CommonParameters(
digestionParams: new DigestionParams(protease: "top-down"),
scoreCutoff: 1,
assumeOrphanPeaksAreZ1Fragments: false);
MetaMorpheusTask.DetermineAnalyteType(CommonParameters);
// test output file name (should be proteoform and not peptide)
Assert.That(GlobalVariables.AnalyteType == "Proteoform");
var variableModifications = new List <Modification>();
var fixedModifications = new List <Modification>();
var proteinList = new List <Protein>
{
new Protein("MPKVYSYQEVAEHNGPENFWIIIDDKVYDVSQFKDEHPGGDEIIMDLGGQDATESFVDIGHSDEALRLLKGLYIGDVDKTSERVSVEKVSTSENQSKGSGTLVVILAILMLGVAYYLLNE", "P40312")
};
var myMsDataFile = Mzml.LoadAllStaticData(Path.Combine(TestContext.CurrentContext.TestDirectory, @"TopDownTestData\slicedTDYeast.mzML"));
var searchMode = new SinglePpmAroundZeroSearchMode(5);
Tolerance DeconvolutionMassTolerance = new PpmTolerance(5);
var listOfSortedms2Scans = MetaMorpheusTask.GetMs2Scans(myMsDataFile, null, new CommonParameters()).OrderBy(b => b.PrecursorMass).ToArray();
//search by new method of looking for all charges
PeptideSpectralMatch[] allPsmsArray = new PeptideSpectralMatch[listOfSortedms2Scans.Length];
new ClassicSearchEngine(allPsmsArray, listOfSortedms2Scans, variableModifications, fixedModifications, null, null, null,
proteinList, searchMode, CommonParameters, null, null, new List <string>(), true).Run();
var psm = allPsmsArray.Where(p => p != null).FirstOrDefault();
Assert.That(psm.MatchedFragmentIons.Count == 62);
//search by old method of looking for only one charge
PeptideSpectralMatch[] allPsmsArray_oneCharge = new PeptideSpectralMatch[listOfSortedms2Scans.Length];
new ClassicSearchEngine(allPsmsArray_oneCharge, listOfSortedms2Scans, variableModifications, fixedModifications, null, null, null,
proteinList, searchMode, CommonParameters, null, null, new List <string>(), false).Run();
var psm_oneCharge = allPsmsArray_oneCharge.Where(p => p != null).FirstOrDefault();
Assert.That(psm_oneCharge.MatchedFragmentIons.Count == 47);
//compare 2 scores , they should have same integer but new search has a little higher score than old search
Assert.That(psm.Score > psm_oneCharge.Score);
Assert.AreEqual(Math.Truncate(psm.Score), 47);
Assert.AreEqual(Math.Truncate(psm_oneCharge.Score), 47);
//compare 2 results and evaluate the different matched ions
var peptideTheorProducts = new List <Product>();
var differences = psm.MatchedFragmentIons.Except(psm_oneCharge.MatchedFragmentIons);
psm.BestMatchingPeptides.First().Peptide.Fragment(CommonParameters.DissociationType, CommonParameters.DigestionParams.FragmentationTerminus, peptideTheorProducts);
foreach (var ion in differences)
{
foreach (var product in peptideTheorProducts)
{
if (product.Annotation.ToString().Equals(ion.NeutralTheoreticalProduct.Annotation.ToString()))
{
//to see if the different matched ions are qualified
Assert.That(CommonParameters.ProductMassTolerance.Within(ion.Mz.ToMass(ion.Charge), product.NeutralMass));
}
}
}
}
public void WritePSM(PeptideSpectralMatch psm, int hitRank = 1)
{
_writer.WriteStartElement("search_hit");
_writer.WriteAttributeString("hit_rank", hitRank.ToString());
_writer.WriteAttributeString("peptide", psm.Peptide.Sequence);
_writer.WriteAttributeString("peptide_prev_aa" , (psm.Peptide.PreviousAminoAcid != null) ? psm.Peptide.PreviousAminoAcid.Letter.ToString() : "-");
_writer.WriteAttributeString("peptide_next_aa", (psm.Peptide.NextAminoAcid != null) ? psm.Peptide.NextAminoAcid.Letter.ToString() : "-");
double pepMonoMass = psm.Peptide.MonoisotopicMass;
double massDifference = spectrumNeutralMass - pepMonoMass;
_writer.WriteAttributeString("calc_neutral_pep_mass", pepMonoMass.ToString());
_writer.WriteAttributeString("massdiff", massDifference.ToString());
Protein protein = psm.Peptide.Parent as Protein;
if(protein != null) {
_writer.WriteAttributeString("protein", protein.Description);
_writer.WriteAttributeString("protein_descr", protein.Description);
}
_writer.WriteAttributeString("num_tot_proteins", "1");
_writer.WriteAttributeString("is_rejected", "0");
_writer.WriteStartElement("search_score");
_writer.WriteAttributeString("name", Enum.GetName(typeof(PeptideSpectralMatchScoreType), psm.ScoreType));
_writer.WriteAttributeString("value", psm.Score.ToString());
_writer.WriteEndElement(); // search_score
_writer.WriteEndElement(); // search_hit
}
public static void TestMatchIonsOfAllChargesBottomUp()
{
CommonParameters CommonParameters = new CommonParameters();
MetaMorpheusTask.DetermineAnalyteType(CommonParameters);
var variableModifications = new List <Modification>();
var fixedModifications = new List <Modification>();
var proteinList = new List <Protein>
{
new Protein("AAAHSSLK", ""), new Protein("RQPAQPR", ""), new Protein("EKAEAEAEK", "")
};
var myMsDataFile = Mzml.LoadAllStaticData(Path.Combine(TestContext.CurrentContext.TestDirectory, @"TestData\SmallCalibratible_Yeast.mzML"));
var searchMode = new SinglePpmAroundZeroSearchMode(5);
Tolerance DeconvolutionMassTolerance = new PpmTolerance(5);
var listOfSortedms2Scans = MetaMorpheusTask.GetMs2Scans(myMsDataFile, null, new CommonParameters()).OrderBy(b => b.PrecursorMass).ToArray();
//search by new method of looking for all charges
PeptideSpectralMatch[] allPsmsArray = new PeptideSpectralMatch[listOfSortedms2Scans.Length];
new ClassicSearchEngine(allPsmsArray, listOfSortedms2Scans, variableModifications, fixedModifications, null, null, null,
proteinList, searchMode, CommonParameters, null, null, new List <string>(), true).Run();
var psm = allPsmsArray.Where(p => p != null).ToList();
Assert.That(psm[1].MatchedFragmentIons.Count == 14);
//there are ions with same product type and same fragment number but different charges
Assert.That(psm[1].MatchedFragmentIons[8].NeutralTheoreticalProduct.ProductType == psm[1].MatchedFragmentIons[9].NeutralTheoreticalProduct.ProductType &&
psm[1].MatchedFragmentIons[8].NeutralTheoreticalProduct.FragmentNumber == psm[1].MatchedFragmentIons[9].NeutralTheoreticalProduct.FragmentNumber &&
psm[1].MatchedFragmentIons[8].Charge != psm[1].MatchedFragmentIons[9].Charge);
Assert.That(psm[2].MatchedFragmentIons.Count == 14);
Assert.That(psm[4].MatchedFragmentIons.Count == 16);
//search by old method of looking for only one charge
PeptideSpectralMatch[] allPsmsArray_oneCharge = new PeptideSpectralMatch[listOfSortedms2Scans.Length];
new ClassicSearchEngine(allPsmsArray_oneCharge, listOfSortedms2Scans, variableModifications, fixedModifications, null, null, null,
proteinList, searchMode, CommonParameters, null, null, new List <string>(), false).Run();
var psm_oneCharge = allPsmsArray_oneCharge.Where(p => p != null).ToList();
//compare 2 scores , they should have same integer part but new search has a little higher score than old search
Assert.That(psm[1].Score > psm_oneCharge[1].Score);
Assert.AreEqual(Math.Truncate(psm[1].Score), 12);
Assert.AreEqual(Math.Truncate(psm_oneCharge[1].Score), 12);
//compare 2 results and evaluate the different matched ions
var peptideTheorProducts = new List <Product>();
Assert.That(psm_oneCharge[1].MatchedFragmentIons.Count == 12);
var differences = psm[1].MatchedFragmentIons.Except(psm_oneCharge[1].MatchedFragmentIons);
psm[1].BestMatchingPeptides.First().Peptide.Fragment(CommonParameters.DissociationType, CommonParameters.DigestionParams.FragmentationTerminus, peptideTheorProducts);
foreach (var ion in differences)
{
foreach (var product in peptideTheorProducts)
{
if (product.Annotation.ToString().Equals(ion.NeutralTheoreticalProduct.Annotation.ToString()))
{
//to see if the different matched ions are qualified
Assert.That(CommonParameters.ProductMassTolerance.Within(ion.Mz.ToMass(ion.Charge), product.NeutralMass));
}
}
}
//test specific condition: unknown fragment mass; this only happens rarely for sequences with unknown amino acids
var myMsDataFile1 = new TestDataFile();
var variableModifications1 = new List <Modification>();
var fixedModifications1 = new List <Modification>();
var proteinList1 = new List <Protein> {
new Protein("QXQ", null)
};
var productMassTolerance = new AbsoluteTolerance(0.01);
var searchModes = new OpenSearchMode();
Tolerance DeconvolutionMassTolerance1 = new PpmTolerance(5);
var listOfSortedms2Scans1 = MetaMorpheusTask.GetMs2Scans(myMsDataFile, null, new CommonParameters()).OrderBy(b => b.PrecursorMass).ToArray();
List <DigestionMotif> motifs = new List <DigestionMotif> {
new DigestionMotif("K", null, 1, null)
};
Protease protease = new Protease("Custom Protease3", CleavageSpecificity.Full, null, null, motifs);
ProteaseDictionary.Dictionary.Add(protease.Name, protease);
CommonParameters CommonParameters1 = new CommonParameters(
digestionParams: new DigestionParams(protease: protease.Name, maxMissedCleavages: 0, minPeptideLength: 1),
scoreCutoff: 1,
addCompIons: false);
var fsp = new List <(string fileName, CommonParameters fileSpecificParameters)>();
fsp.Add(("", CommonParameters));
PeptideSpectralMatch[] allPsmsArray1 = new PeptideSpectralMatch[listOfSortedms2Scans.Length];
bool writeSpectralLibrary = true;
new ClassicSearchEngine(allPsmsArray1, listOfSortedms2Scans1, variableModifications1, fixedModifications1, null, null, null,
proteinList1, searchModes, CommonParameters1, fsp, null, new List <string>(), writeSpectralLibrary).Run();
var psm1 = allPsmsArray1.Where(p => p != null).ToList();
Assert.AreEqual(psm1.Count, 222);
}
private void DoFalseDiscoveryRateAnalysis(FdrAnalysisResults myAnalysisResults)
{
// Stop if canceled
if (GlobalVariables.StopLoops)
{
return;
}
// calculate FDR on a per-protease basis (targets and decoys for a specific protease)
var psmsGroupedByProtease = AllPsms.GroupBy(p => p.DigestionParams.Protease);
foreach (var proteasePsms in psmsGroupedByProtease)
{
var psms = proteasePsms.ToList();
// generate the null distribution for e-value calculations
double globalMeanScore = 0;
int globalMeanCount = 0;
if (CalculateEValue && psms.Any())
{
List <double> combinedScores = new List <double>();
foreach (PeptideSpectralMatch psm in psms)
{
psm.AllScores.Sort();
combinedScores.AddRange(psm.AllScores);
//remove top scoring peptide
if (combinedScores.Any())
{
combinedScores.RemoveAt(combinedScores.Count - 1);
}
}
if (combinedScores.Any())
{
globalMeanScore = combinedScores.Average();
globalMeanCount = (int)((double)combinedScores.Count / psms.Count);
}
else
{
// should be a very rare case... if there are PSMs but each PSM only has one hit
globalMeanScore = 0;
globalMeanCount = 0;
}
}
//Calculate delta scores for the psms (regardless of if we are using them)
foreach (PeptideSpectralMatch psm in psms)
{
if (psm != null)
{
psm.CalculateDeltaScore(ScoreCutoff);
}
}
//determine if Score or DeltaScore performs better
if (UseDeltaScore)
{
const double qValueCutoff = 0.01; //optimize to get the most PSMs at a 1% FDR
List <PeptideSpectralMatch> scoreSorted = psms.OrderByDescending(b => b.Score).ThenBy(b => b.PeptideMonisotopicMass.HasValue ? Math.Abs(b.ScanPrecursorMass - b.PeptideMonisotopicMass.Value) : double.MaxValue).GroupBy(b => new Tuple <string, int, double?>(b.FullFilePath, b.ScanNumber, b.PeptideMonisotopicMass)).Select(b => b.First()).ToList();
int ScorePSMs = GetNumPSMsAtqValueCutoff(scoreSorted, qValueCutoff);
scoreSorted = psms.OrderByDescending(b => b.DeltaScore).ThenBy(b => b.PeptideMonisotopicMass.HasValue ? Math.Abs(b.ScanPrecursorMass - b.PeptideMonisotopicMass.Value) : double.MaxValue).GroupBy(b => new Tuple <string, int, double?>(b.FullFilePath, b.ScanNumber, b.PeptideMonisotopicMass)).Select(b => b.First()).ToList();
int DeltaScorePSMs = GetNumPSMsAtqValueCutoff(scoreSorted, qValueCutoff);
//sort by best method
myAnalysisResults.DeltaScoreImprovement = DeltaScorePSMs > ScorePSMs;
psms = myAnalysisResults.DeltaScoreImprovement ?
psms.OrderByDescending(b => b.DeltaScore).ThenBy(b => b.PeptideMonisotopicMass.HasValue ? Math.Abs(b.ScanPrecursorMass - b.PeptideMonisotopicMass.Value) : double.MaxValue).ToList() :
psms.OrderByDescending(b => b.Score).ThenBy(b => b.PeptideMonisotopicMass.HasValue ? Math.Abs(b.ScanPrecursorMass - b.PeptideMonisotopicMass.Value) : double.MaxValue).ToList();
}
else //sort by score
{
psms = psms.OrderByDescending(b => b.Score).ThenBy(b => b.PeptideMonisotopicMass.HasValue ? Math.Abs(b.ScanPrecursorMass - b.PeptideMonisotopicMass.Value) : double.MaxValue).ToList();
}
double cumulativeTarget = 0;
double cumulativeDecoy = 0;
//set up arrays for local FDRs
double[] cumulativeTargetPerNotch = new double[MassDiffAcceptorNumNotches + 1];
double[] cumulativeDecoyPerNotch = new double[MassDiffAcceptorNumNotches + 1];
//Assign FDR values to PSMs
for (int i = 0; i < psms.Count; i++)
{
// Stop if canceled
if (GlobalVariables.StopLoops)
{
break;
}
PeptideSpectralMatch psm = psms[i];
int notch = psm.Notch ?? MassDiffAcceptorNumNotches;
if (psm.IsDecoy)
{
// the PSM can be ambiguous between a target and a decoy sequence
// in that case, count it as the fraction of decoy hits
// e.g. if the PSM matched to 1 target and 2 decoys, it counts as 2/3 decoy
double decoyHits = 0;
double totalHits = 0;
var hits = psm.BestMatchingPeptides.GroupBy(p => p.Peptide.FullSequence);
foreach (var hit in hits)
{
if (hit.First().Peptide.Protein.IsDecoy)
{
decoyHits++;
}
totalHits++;
}
cumulativeDecoy += decoyHits / totalHits;
cumulativeDecoyPerNotch[notch] += decoyHits / totalHits;
}
else
{
cumulativeTarget++;
cumulativeTargetPerNotch[notch]++;
}
double qValue = Math.Min(1, cumulativeDecoy / cumulativeTarget);
double qValueNotch = Math.Min(1, cumulativeDecoyPerNotch[notch] / cumulativeTargetPerNotch[notch]);
double maximumLikelihood = 0;
double eValue = 0;
double eScore = 0;
if (CalculateEValue)
{
eValue = GetEValue(psm, globalMeanCount, globalMeanScore, out maximumLikelihood);
eScore = -Math.Log(eValue, 10);
}
psm.SetFdrValues(cumulativeTarget, cumulativeDecoy, qValue, cumulativeTargetPerNotch[notch], cumulativeDecoyPerNotch[notch], qValueNotch, maximumLikelihood, eValue, eScore, CalculateEValue);
}
// set q-value thresholds such that a lower scoring PSM can't have
// a higher confidence than a higher scoring PSM
//Populate min qValues
double qValueThreshold = 1.0;
double[] qValueNotchThreshold = new double[MassDiffAcceptorNumNotches + 1];
for (int i = 0; i < qValueNotchThreshold.Length; i++)
{
qValueNotchThreshold[i] = 1.0;
}
for (int i = psms.Count - 1; i >= 0; i--)
{
PeptideSpectralMatch psm = psms[i];
// threshold q-values
if (psm.FdrInfo.QValue > qValueThreshold)
{
psm.FdrInfo.QValue = qValueThreshold;
}
else if (psm.FdrInfo.QValue < qValueThreshold)
{
qValueThreshold = psm.FdrInfo.QValue;
}
// threshold notch q-values
int notch = psm.Notch ?? MassDiffAcceptorNumNotches;
if (psm.FdrInfo.QValueNotch > qValueNotchThreshold[notch])
{
psm.FdrInfo.QValueNotch = qValueNotchThreshold[notch];
}
else if (psm.FdrInfo.QValueNotch < qValueNotchThreshold[notch])
{
qValueNotchThreshold[notch] = psm.FdrInfo.QValueNotch;
}
}
}
if (AnalysisType == "PSM")
{
CountPsm();
}
}
public static void TryFailSequenceCoverage()
{
var prot1 = new Protein("MMKMMK", "prot1");
ModificationMotif.TryGetMotif("M", out ModificationMotif motifM);
ModificationWithMass mod1 = new ModificationWithMass("mod1", "mt", motifM, TerminusLocalization.NProt, 10);
ModificationWithMass mod2 = new ModificationWithMass("mod2", "mt", motifM, TerminusLocalization.NPep, 10);
ModificationWithMass mod3 = new ModificationWithMass("mod3", "mt", motifM, TerminusLocalization.Any, 10);
ModificationMotif.TryGetMotif("K", out ModificationMotif motifK);
ModificationWithMass mod4 = new ModificationWithMass("mod4", "mt", motifK, TerminusLocalization.PepC, 10);
ModificationWithMass mod5 = new ModificationWithMass("mod5", "mt", motifK, TerminusLocalization.ProtC, 10);
Dictionary <int, ModificationWithMass> modsFor1 = new Dictionary <int, ModificationWithMass>
{
{ 1, mod1 },
{ 3, mod3 },
{ 5, mod4 },
};
Dictionary <int, ModificationWithMass> modsFor2 = new Dictionary <int, ModificationWithMass>
{
{ 1, mod2 },
{ 5, mod5 },
};
Dictionary <int, ModificationWithMass> modsFor3 = new Dictionary <int, ModificationWithMass>
{
{ 1, mod1 },
{ 5, mod3 },
{ 8, mod5 }
};
DigestionParams digestionParams = new DigestionParams();
var pwsm1 = new PeptideWithSetModifications(protein: prot1, digestionParams: digestionParams, oneBasedStartResidueInProtein: 1, oneBasedEndResidueInProtein: 3, peptideDescription: "", missedCleavages: 0, allModsOneIsNterminus: modsFor1, numFixedMods: 0);
var pwsm2 = new PeptideWithSetModifications(protein: prot1, digestionParams: digestionParams, oneBasedStartResidueInProtein: 4, oneBasedEndResidueInProtein: 6, peptideDescription: "", missedCleavages: 0, allModsOneIsNterminus: modsFor2, numFixedMods: 0);
var pwsm3 = new PeptideWithSetModifications(protein: prot1, digestionParams: digestionParams, oneBasedStartResidueInProtein: 1, oneBasedEndResidueInProtein: 6, peptideDescription: "", missedCleavages: 0, allModsOneIsNterminus: modsFor3, numFixedMods: 0);
HashSet <PeptideWithSetModifications> peptides = new HashSet <PeptideWithSetModifications>
{
pwsm1,
pwsm2,
pwsm3,
};
Dictionary <CompactPeptideBase, HashSet <PeptideWithSetModifications> > matching = new Dictionary <CompactPeptideBase, HashSet <PeptideWithSetModifications> >
{
{ pwsm1.CompactPeptide(TerminusType.None), new HashSet <PeptideWithSetModifications> {
pwsm1
} },
{ pwsm2.CompactPeptide(TerminusType.None), new HashSet <PeptideWithSetModifications> {
pwsm2
} },
{ pwsm3.CompactPeptide(TerminusType.None), new HashSet <PeptideWithSetModifications> {
pwsm3
} },
};
IScan scan = new ThisTestScan();
var psm1 = new PeptideSpectralMatch(pwsm1.CompactPeptide(TerminusType.None), 0, 1, 0, scan, digestionParams);
psm1.SetFdrValues(0, 0, 0, 0, 0, 0, 0, 0, 0, false);
psm1.MatchToProteinLinkedPeptides(matching);
var psm2 = new PeptideSpectralMatch(pwsm2.CompactPeptide(TerminusType.None), 0, 1, 0, scan, digestionParams);
psm2.SetFdrValues(0, 0, 0, 0, 0, 0, 0, 0, 0, false);
psm2.MatchToProteinLinkedPeptides(matching);
var psm3 = new PeptideSpectralMatch(pwsm3.CompactPeptide(TerminusType.None), 0, 1, 0, scan, digestionParams);
psm3.SetFdrValues(0, 0, 0, 0, 0, 0, 0, 0, 0, false);
psm3.MatchToProteinLinkedPeptides(matching);
List <PeptideSpectralMatch> newPsms = new List <PeptideSpectralMatch>
{
psm1,
psm2,
psm3,
};
ProteinParsimonyEngine ppe = new ProteinParsimonyEngine(matching, true, new CommonParameters(), new List <string>());
ProteinParsimonyResults fjkd = (ProteinParsimonyResults)ppe.Run();
ProteinScoringAndFdrEngine psafe = new ProteinScoringAndFdrEngine(fjkd.ProteinGroups, newPsms, true, true, true, new CommonParameters(), new List <string>());
psafe.Run();
fjkd.ProteinGroups.First().CalculateSequenceCoverage();
var firstSequenceCoverageDisplayList = fjkd.ProteinGroups.First().SequenceCoverageDisplayList.First();
Assert.AreEqual("MMKMMK", firstSequenceCoverageDisplayList);
var firstSequenceCoverageDisplayListWithMods = fjkd.ProteinGroups.First().SequenceCoverageDisplayListWithMods.First();
Assert.AreEqual("[mod1]-MM[mod3]KM[mod3]MK-[mod5]", firstSequenceCoverageDisplayListWithMods);
var firstModInfo = fjkd.ProteinGroups.First().ModsInfo.First();
Assert.IsTrue(firstModInfo.Contains(@"#aa1[mod1,info:occupancy=1.00(2/2)]"));
Assert.IsTrue(firstModInfo.Contains(@"#aa2[mod3,info:occupancy=0.50(1/2)]"));
Assert.IsFalse(firstModInfo.Contains(@"#aa3"));
Assert.IsTrue(firstModInfo.Contains(@"#aa4[mod3,info:occupancy=0.50(1/2)]"));
Assert.IsFalse(firstModInfo.Contains(@"#aa5"));
Assert.IsTrue(firstModInfo.Contains(@"#aa6[mod5,info:occupancy=1.00(2/2)]"));
}
protected override MetaMorpheusEngineResults RunSpecific()
{
double progress = 0;
int oldPercentProgress = 0;
ReportProgress(new ProgressEventArgs(oldPercentProgress, "Performing nonspecific search... " + currentPartition + "/" + CommonParameters.TotalPartitions, nestedIds));
TerminusType terminusType = ProductTypeMethod.IdentifyTerminusType(lp);
byte byteScoreCutoff = (byte)CommonParameters.ScoreCutoff;
Parallel.ForEach(Partitioner.Create(0, listOfSortedms2Scans.Length), new ParallelOptions {
MaxDegreeOfParallelism = CommonParameters.MaxThreadsToUsePerFile
}, range =>
{
byte[] scoringTable = new byte[peptideIndex.Count];
HashSet <int> idsOfPeptidesPossiblyObserved = new HashSet <int>();
for (int i = range.Item1; i < range.Item2; i++)
{
// empty the scoring table to score the new scan (conserves memory compared to allocating a new array)
Array.Clear(scoringTable, 0, scoringTable.Length);
idsOfPeptidesPossiblyObserved.Clear();
var scan = listOfSortedms2Scans[i];
//get bins to add points to
List <int> allBinsToSearch = GetBinsToSearch(scan);
for (int j = 0; j < allBinsToSearch.Count; j++)
{
fragmentIndex[allBinsToSearch[j]].ForEach(id => scoringTable[id]++);
}
//populate ids of possibly observed with those containing allowed precursor masses
List <int> binsToSearch = new List <int>();
int obsPrecursorFloorMz = (int)Math.Floor(CommonParameters.PrecursorMassTolerance.GetMinimumValue(scan.PrecursorMass) * fragmentBinsPerDalton);
int obsPrecursorCeilingMz = (int)Math.Ceiling(CommonParameters.PrecursorMassTolerance.GetMaximumValue(scan.PrecursorMass) * fragmentBinsPerDalton);
for (int fragmentBin = obsPrecursorFloorMz; fragmentBin <= obsPrecursorCeilingMz; fragmentBin++)
{
binsToSearch.Add(fragmentBin);
}
foreach (ProductType pt in lp)
{
int binShift;
switch (pt)
{
case ProductType.B:
binShift = bBinShift;
break;
case ProductType.Y:
binShift = 0;
break;
case ProductType.C:
binShift = cBinShift;
break;
case ProductType.Zdot:
binShift = zdotBinShift;
break;
default:
throw new NotImplementedException();
}
for (int j = 0; j < binsToSearch.Count; j++)
{
int bin = binsToSearch[j] - binShift;
if (bin < fragmentIndex.Length && fragmentIndex[bin] != null)
{
fragmentIndex[bin].ForEach(id => idsOfPeptidesPossiblyObserved.Add(id));
}
}
}
for (int j = 0; j < binsToSearch.Count; j++)
{
int bin = binsToSearch[j];
if (bin < fragmentIndexPrecursor.Length && fragmentIndexPrecursor[bin] != null)
{
fragmentIndexPrecursor[bin].ForEach(id => idsOfPeptidesPossiblyObserved.Add(id));
}
}
// done with initial scoring; refine scores and create PSMs
if (idsOfPeptidesPossiblyObserved.Any())
{
int maxInitialScore = idsOfPeptidesPossiblyObserved.Max(id => scoringTable[id]) + 1;
while (maxInitialScore > CommonParameters.ScoreCutoff)
{
maxInitialScore--;
foreach (var id in idsOfPeptidesPossiblyObserved.Where(id => scoringTable[id] == maxInitialScore))
{
var candidatePeptide = peptideIndex[id];
double[] fragmentMasses = candidatePeptide.ProductMassesMightHaveDuplicatesAndNaNs(lp).Distinct().Where(p => !Double.IsNaN(p)).OrderBy(p => p).ToArray();
double peptideScore = CalculatePeptideScore(scan.TheScan, CommonParameters.ProductMassTolerance, fragmentMasses, scan.PrecursorMass, dissociationTypes, addCompIons, maximumMassThatFragmentIonScoreIsDoubled);
Tuple <int, double> notchAndPrecursor = Accepts(scan.PrecursorMass, candidatePeptide, terminusType, massDiffAcceptor);
if (notchAndPrecursor.Item1 >= 0)
{
CompactPeptideWithModifiedMass cp = new CompactPeptideWithModifiedMass(candidatePeptide, notchAndPrecursor.Item2);
if (globalPsms[i] == null)
{
globalPsms[i] = new PeptideSpectralMatch(cp, notchAndPrecursor.Item1, peptideScore, i, scan);
}
else
{
globalPsms[i].AddOrReplace(cp, peptideScore, notchAndPrecursor.Item1, CommonParameters.ReportAllAmbiguity);
}
}
}
if (globalPsms[i] != null)
{
break;
}
}
}
// report search progress
progress++;
var percentProgress = (int)((progress / listOfSortedms2Scans.Length) * 100);
if (percentProgress > oldPercentProgress)
{
oldPercentProgress = percentProgress;
ReportProgress(new ProgressEventArgs(percentProgress, "Performing nonspecific search... " + currentPartition + "/" + CommonParameters.TotalPartitions, nestedIds));
}
}
});
return(new MetaMorpheusEngineResults(this));
}
public static void TestCompIons_ModernSearch()
{
var myMsDataFile = new TestDataFile();
var variableModifications = new List <Modification>();
var fixedModifications = new List <Modification>();
var localizeableModifications = new List <Modification>();
Dictionary <Modification, ushort> modsDictionary = new Dictionary <Modification, ushort>();
foreach (var mod in fixedModifications)
{
modsDictionary.Add(mod, 0);
}
int ii = 1;
foreach (var mod in variableModifications)
{
modsDictionary.Add(mod, (ushort)ii);
ii++;
}
foreach (var mod in localizeableModifications)
{
modsDictionary.Add(mod, (ushort)ii);
ii++;
}
var proteinList = new List <Protein> {
new Protein("MNNNKQQQ", null)
};
SearchParameters SearchParameters = new SearchParameters
{
MassDiffAcceptorType = MassDiffAcceptorType.Exact,
SearchTarget = true,
};
List <DigestionMotif> motifs = new List <DigestionMotif> {
new DigestionMotif("K", null, 1, null)
};
Protease protease = new Protease("singleN4", CleavageSpecificity.Full, null, null, motifs);
ProteaseDictionary.Dictionary.Add(protease.Name, protease);
CommonParameters CommonParameters = new CommonParameters(digestionParams: new DigestionParams(protease: protease.Name, minPeptideLength: 1), scoreCutoff: 1);
var fsp = new List <(string fileName, CommonParameters fileSpecificParameters)>();
fsp.Add(("", CommonParameters));
CommonParameters withCompIons = new CommonParameters(digestionParams: new DigestionParams(protease: protease.Name, minPeptideLength: 1), scoreCutoff: 1, addCompIons: true);
var fspComp = new List <(string fileName, CommonParameters fileSpecificParameters)>();
fspComp.Add(("", CommonParameters));
var indexEngine = new IndexingEngine(proteinList, variableModifications, fixedModifications, null, null, null,
1, DecoyType.Reverse, CommonParameters, fsp, SearchParameters.MaxFragmentSize, false, new List <FileInfo>(), TargetContaminantAmbiguity.RemoveContaminant, new List <string>());
var indexResults = (IndexingResults)indexEngine.Run();
Tolerance DeconvolutionMassTolerance = new PpmTolerance(5);
var listOfSortedms2Scans = MetaMorpheusTask.GetMs2Scans(myMsDataFile, null, new CommonParameters()).OrderBy(b => b.PrecursorMass).ToArray();
MassDiffAcceptor massDiffAcceptor = SearchTask.GetMassDiffAcceptor(CommonParameters.PrecursorMassTolerance, SearchParameters.MassDiffAcceptorType, SearchParameters.CustomMdac);
// without complementary ions
PeptideSpectralMatch[] allPsmsArray = new PeptideSpectralMatch[listOfSortedms2Scans.Length];
new ModernSearchEngine(allPsmsArray, listOfSortedms2Scans, indexResults.PeptideIndex, indexResults.FragmentIndex, 0, CommonParameters, fsp, massDiffAcceptor, SearchParameters.MaximumMassThatFragmentIonScoreIsDoubled, new List <string>()).Run();
// with complementary ions
PeptideSpectralMatch[] allPsmsArray2 = new PeptideSpectralMatch[listOfSortedms2Scans.Length];
new ModernSearchEngine(allPsmsArray2, listOfSortedms2Scans, indexResults.PeptideIndex, indexResults.FragmentIndex, 0, withCompIons, fspComp, massDiffAcceptor, SearchParameters.MaximumMassThatFragmentIonScoreIsDoubled, new List <string>()).Run();
// Single search mode
Assert.AreEqual(allPsmsArray.Length, allPsmsArray2.Length);
// Single ms2 scan
Assert.AreEqual(allPsmsArray.Length, allPsmsArray2.Length);
Assert.That(allPsmsArray[0] != null);
Assert.That(allPsmsArray2[0] != null);
Assert.IsTrue(allPsmsArray2[0].Score > 1);
Assert.AreEqual(allPsmsArray[0].ScanNumber, allPsmsArray2[0].ScanNumber);
Assert.IsTrue(allPsmsArray2[0].Score <= allPsmsArray[0].Score * 2 && allPsmsArray2[0].Score > allPsmsArray[0].Score + 3);
}
public static void MatchInternalFragmentIons(PeptideSpectralMatch[] fileSpecificPsms, Ms2ScanWithSpecificMass[] arrayOfMs2ScansSortedByMass, CommonParameters combinedParams, int minInternalFragmentLength)
{
//for each PSM with an ID
for (int index = 0; index < fileSpecificPsms.Length; index++)
{
PeptideSpectralMatch psm = fileSpecificPsms[index];
if (psm != null && psm.BestMatchingPeptides.Count() > 0)
{
//Get the scan
Ms2ScanWithSpecificMass scanForThisPsm = arrayOfMs2ScansSortedByMass[index];
DissociationType dissociationType = combinedParams.DissociationType == DissociationType.Autodetect ?
scanForThisPsm.TheScan.DissociationType.Value : combinedParams.DissociationType;
//Get the theoretical peptides
List <PeptideWithSetModifications> ambiguousPeptides = new List <PeptideWithSetModifications>();
List <int> notches = new List <int>();
foreach (var(Notch, Peptide) in psm.BestMatchingPeptides)
{
ambiguousPeptides.Add(Peptide);
notches.Add(Notch);
}
//get matched ions for each peptide
List <List <MatchedFragmentIon> > matchedIonsForAllAmbiguousPeptides = new List <List <MatchedFragmentIon> >();
List <Product> internalFragments = new List <Product>();
foreach (PeptideWithSetModifications peptide in ambiguousPeptides)
{
internalFragments.Clear();
peptide.FragmentInternally(combinedParams.DissociationType, minInternalFragmentLength, internalFragments);
//TODO: currently, internal and terminal ions can match to the same observed peaks (much like how b- and y-ions can match to the same peaks). Investigate if we should change that...
matchedIonsForAllAmbiguousPeptides.Add(MetaMorpheusEngine.MatchFragmentIons(scanForThisPsm, internalFragments, combinedParams));
}
//Find the max number of matched ions
int maxNumMatchedIons = matchedIonsForAllAmbiguousPeptides.Max(x => x.Count);
//remove peptides if they have fewer than max-1 matched ions, thus requiring at least two internal ions to disambiguate an ID
//if not removed, then add the matched internal ions
HashSet <PeptideWithSetModifications> PeptidesToMatchingInternalFragments = new HashSet <PeptideWithSetModifications>();
for (int peptideIndex = 0; peptideIndex < ambiguousPeptides.Count; peptideIndex++)
{
//if we should remove the theoretical, remove it
if (matchedIonsForAllAmbiguousPeptides[peptideIndex].Count + 1 < maxNumMatchedIons)
{
psm.RemoveThisAmbiguousPeptide(notches[peptideIndex], ambiguousPeptides[peptideIndex]);
}
// otherwise add the matched internal ions to the total ions
else
{
PeptideWithSetModifications currentPwsm = ambiguousPeptides[peptideIndex];
//check that we haven't already added the matched ions for this peptide
if (!PeptidesToMatchingInternalFragments.Contains(currentPwsm))
{
PeptidesToMatchingInternalFragments.Add(currentPwsm); //record that we've seen this peptide
psm.PeptidesToMatchingFragments[currentPwsm].AddRange(matchedIonsForAllAmbiguousPeptides[peptideIndex]); //add the matched ions
}
}
}
}
}
}
public static void TestPTMOutput()
{
List <Modification> variableModifications = new List <Modification>();
List <Modification> fixedModifications = new List <Modification>();
ModificationMotif.TryGetMotif("S", out ModificationMotif motif);
variableModifications.Add(new Modification(_originalId: "resMod", _modificationType: "HaHa", _target: motif, _locationRestriction: "Anywhere.", _chemicalFormula: ChemicalFormula.ParseFormula("H")));
var proteinList = new List <Protein> {
new Protein("MNNNSKQQQ", "accession")
};
var protease = new Protease("CustomProtease", CleavageSpecificity.Full, null, null, new List <DigestionMotif> {
new DigestionMotif("K", null, 1, null)
});
ProteaseDictionary.Dictionary.Add(protease.Name, protease);
Dictionary <Modification, ushort> modsDictionary = new Dictionary <Modification, ushort>
{
{ variableModifications.Last(), 1 }
};
DigestionParams digestionParams = new DigestionParams(protease: protease.Name, maxMissedCleavages: 0, minPeptideLength: 1);
var modPep = proteinList.First().Digest(digestionParams, fixedModifications, variableModifications).Last();
HashSet <PeptideWithSetModifications> value = new HashSet <PeptideWithSetModifications> {
modPep
};
PeptideWithSetModifications compactPeptide1 = value.First();
Assert.AreEqual("QQQ", value.First().FullSequence);//this might be base
var firstProtDigest = proteinList.First().Digest(digestionParams, fixedModifications, variableModifications).ToList();
HashSet <PeptideWithSetModifications> value2 = new HashSet <PeptideWithSetModifications> {
firstProtDigest[0]
};
PeptideWithSetModifications compactPeptide2 = value2.First();
Assert.AreEqual("MNNNSK", value2.First().FullSequence);//this might be base
HashSet <PeptideWithSetModifications> value2mod = new HashSet <PeptideWithSetModifications> {
firstProtDigest[1]
};
PeptideWithSetModifications compactPeptide2mod = value2mod.Last();
Assert.AreEqual("MNNNS[HaHa:resMod on S]K", value2mod.Last().FullSequence);//this might be base
HashSet <PeptideWithSetModifications> value3 = new HashSet <PeptideWithSetModifications> {
firstProtDigest[2]
};
PeptideWithSetModifications compactPeptide3 = value3.First();
Assert.AreEqual("NNNSK", value3.First().FullSequence);//this might be base
HashSet <PeptideWithSetModifications> value3mod = new HashSet <PeptideWithSetModifications> {
firstProtDigest[3]
};
PeptideWithSetModifications compactPeptide3mod = value3mod.Last();
Assert.AreEqual("NNNS[HaHa:resMod on S]K", value3mod.Last().FullSequence);//this might be base
var peptideList = new HashSet <PeptideWithSetModifications>();
foreach (var protein in proteinList)
{
foreach (var peptide in protein.Digest(digestionParams, new List <Modification>(), variableModifications))
{
peptideList.Add(peptide);
}
}
MsDataScan jdfk = new MsDataScan(new MzSpectrum(new double[] { 1 }, new double[] { 1 }, false), 0, 1, true, Polarity.Positive, double.NaN, null, null, MZAnalyzerType.Orbitrap, double.NaN, null, null, "scan=1", double.NaN, null, null, double.NaN, null, DissociationType.AnyActivationType, 0, null);
Ms2ScanWithSpecificMass ms2scan = new Ms2ScanWithSpecificMass(jdfk, 2, 0, "File", new CommonParameters());
Tolerance fragmentTolerance = new AbsoluteTolerance(0.01);
var match1 = new PeptideSpectralMatch(peptideList.ElementAt(0), 0, 10, 0, ms2scan, digestionParams, new List <MatchedFragmentIon>())
{
};
match1.SetFdrValues(0, 0, 0, 0, 0, 0, 0, 0, 0, false);
var match2 = new PeptideSpectralMatch(peptideList.ElementAt(1), 0, 10, 0, ms2scan, digestionParams, new List <MatchedFragmentIon>())
{
};
match2.SetFdrValues(0, 0, 0, 0, 0, 0, 0, 0, 0, false);
var match3 = new PeptideSpectralMatch(peptideList.ElementAt(1), 0, 10, 0, ms2scan, digestionParams, new List <MatchedFragmentIon>())
{
};
match3.SetFdrValues(0, 0, 0, 0, 0, 0, 0, 0, 0, false);
List <PeptideSpectralMatch> psms = new List <PeptideSpectralMatch>
{
match1,
match2,
match3
};
psms.ForEach(p => p.ResolveAllAmbiguities());
ProteinParsimonyEngine engine = new ProteinParsimonyEngine(psms, true, new CommonParameters(), new List <string> {
"ff"
});
var cool = (ProteinParsimonyResults)engine.Run();
var proteinGroups = cool.ProteinGroups;
ProteinScoringAndFdrEngine f = new ProteinScoringAndFdrEngine(proteinGroups, psms, false, false, true, new CommonParameters(), new List <string>());
f.Run();
Assert.AreEqual("#aa5[resMod on S,info:occupancy=0.67(2/3)];", proteinGroups.First().ModsInfo[0]);
}
protected override MyTaskResults RunSpecific(string OutputFolder, List <DbForTask> dbFilenameList, List <string> currentRawFileList, string taskId, FileSpecificParameters[] fileSettingsList)
{
if (SearchParameters.DoQuantification)
{
// disable quantification if a .mgf is being used
if (currentRawFileList.Any(x => Path.GetExtension(x).Equals(".mgf", StringComparison.OrdinalIgnoreCase)))
{
SearchParameters.DoQuantification = false;
}
//if we're doing SILAC, assign and add the silac labels to the residue dictionary
else if (SearchParameters.SilacLabels != null || SearchParameters.StartTurnoverLabel != null || SearchParameters.EndTurnoverLabel != null)
{
char heavyLabel = 'a'; //char to assign
//add the Turnoverlabels to the silacLabels list. They weren't there before just to prevent duplication in the tomls
if (SearchParameters.StartTurnoverLabel != null || SearchParameters.EndTurnoverLabel != null)
{
//original silacLabels object is null, so we need to initialize it
SearchParameters.SilacLabels = new List <SilacLabel>();
if (SearchParameters.StartTurnoverLabel != null)
{
var updatedLabel = SilacConversions.UpdateAminoAcidLabel(SearchParameters.StartTurnoverLabel, heavyLabel);
heavyLabel = updatedLabel.nextHeavyLabel;
SearchParameters.StartTurnoverLabel = updatedLabel.updatedLabel;
SearchParameters.SilacLabels.Add(SearchParameters.StartTurnoverLabel);
}
if (SearchParameters.EndTurnoverLabel != null)
{
var updatedLabel = SilacConversions.UpdateAminoAcidLabel(SearchParameters.EndTurnoverLabel, heavyLabel);
heavyLabel = updatedLabel.nextHeavyLabel;
SearchParameters.EndTurnoverLabel = updatedLabel.updatedLabel;
SearchParameters.SilacLabels.Add(SearchParameters.EndTurnoverLabel);
}
}
else
{
//change the silac residues to lower case amino acids (currently null)
List <SilacLabel> updatedLabels = new List <SilacLabel>();
for (int i = 0; i < SearchParameters.SilacLabels.Count; i++)
{
var updatedLabel = SilacConversions.UpdateAminoAcidLabel(SearchParameters.SilacLabels[i], heavyLabel);
heavyLabel = updatedLabel.nextHeavyLabel;
updatedLabels.Add(updatedLabel.updatedLabel);
}
SearchParameters.SilacLabels = updatedLabels;
}
}
}
//if no quant, remove any silac labels that may have been added, because they screw up downstream analysis
if (!SearchParameters.DoQuantification) //using "if" instead of "else", because DoQuantification can change if it's an mgf
{
SearchParameters.SilacLabels = null;
}
LoadModifications(taskId, out var variableModifications, out var fixedModifications, out var localizeableModificationTypes);
// load proteins
List <Protein> proteinList = LoadProteins(taskId, dbFilenameList, SearchParameters.SearchTarget, SearchParameters.DecoyType, localizeableModificationTypes, CommonParameters);
SanitizeProteinDatabase(proteinList, SearchParameters.TCAmbiguity);
// load spectral libraries
var spectralLibrary = LoadSpectralLibraries(taskId, dbFilenameList);
// write prose settings
ProseCreatedWhileRunning.Append("The following search settings were used: ");
ProseCreatedWhileRunning.Append("protease = " + CommonParameters.DigestionParams.Protease + "; ");
ProseCreatedWhileRunning.Append("maximum missed cleavages = " + CommonParameters.DigestionParams.MaxMissedCleavages + "; ");
ProseCreatedWhileRunning.Append("minimum peptide length = " + CommonParameters.DigestionParams.MinPeptideLength + "; ");
ProseCreatedWhileRunning.Append(CommonParameters.DigestionParams.MaxPeptideLength == int.MaxValue ?
"maximum peptide length = unspecified; " :
"maximum peptide length = " + CommonParameters.DigestionParams.MaxPeptideLength + "; ");
ProseCreatedWhileRunning.Append("initiator methionine behavior = " + CommonParameters.DigestionParams.InitiatorMethionineBehavior + "; ");
ProseCreatedWhileRunning.Append("fixed modifications = " + string.Join(", ", fixedModifications.Select(m => m.IdWithMotif)) + "; ");
ProseCreatedWhileRunning.Append("variable modifications = " + string.Join(", ", variableModifications.Select(m => m.IdWithMotif)) + "; ");
ProseCreatedWhileRunning.Append("max mods per peptide = " + CommonParameters.DigestionParams.MaxModsForPeptide + "; ");
ProseCreatedWhileRunning.Append("max modification isoforms = " + CommonParameters.DigestionParams.MaxModificationIsoforms + "; ");
ProseCreatedWhileRunning.Append("precursor mass tolerance = " + CommonParameters.PrecursorMassTolerance + "; ");
ProseCreatedWhileRunning.Append("product mass tolerance = " + CommonParameters.ProductMassTolerance + "; ");
ProseCreatedWhileRunning.Append("report PSM ambiguity = " + CommonParameters.ReportAllAmbiguity + ". ");
ProseCreatedWhileRunning.Append("The combined search database contained " + proteinList.Count(p => !p.IsDecoy)
+ " non-decoy protein entries including " + proteinList.Count(p => p.IsContaminant) + " contaminant sequences. ");
// start the search task
MyTaskResults = new MyTaskResults(this);
List <PeptideSpectralMatch> allPsms = new List <PeptideSpectralMatch>();
//generate an array to store category specific fdr values (for speedy semi/nonspecific searches)
int numFdrCategories = (int)(Enum.GetValues(typeof(FdrCategory)).Cast <FdrCategory>().Last() + 1); //+1 because it starts at zero
List <PeptideSpectralMatch>[] allCategorySpecificPsms = new List <PeptideSpectralMatch> [numFdrCategories];
for (int i = 0; i < numFdrCategories; i++)
{
allCategorySpecificPsms[i] = new List <PeptideSpectralMatch>();
}
FlashLfqResults flashLfqResults = null;
MyFileManager myFileManager = new MyFileManager(SearchParameters.DisposeOfFileWhenDone);
var fileSpecificCommonParams = fileSettingsList.Select(b => SetAllFileSpecificCommonParams(CommonParameters, b));
int completedFiles = 0;
object indexLock = new object();
object psmLock = new object();
Status("Searching files...", taskId);
Status("Searching files...", new List <string> {
taskId, "Individual Spectra Files"
});
Dictionary <string, int[]> numMs2SpectraPerFile = new Dictionary <string, int[]>();
for (int spectraFileIndex = 0; spectraFileIndex < currentRawFileList.Count; spectraFileIndex++)
{
if (GlobalVariables.StopLoops)
{
break;
}
var origDataFile = currentRawFileList[spectraFileIndex];
// mark the file as in-progress
StartingDataFile(origDataFile, new List <string> {
taskId, "Individual Spectra Files", origDataFile
});
CommonParameters combinedParams = SetAllFileSpecificCommonParams(CommonParameters, fileSettingsList[spectraFileIndex]);
MassDiffAcceptor massDiffAcceptor = GetMassDiffAcceptor(combinedParams.PrecursorMassTolerance, SearchParameters.MassDiffAcceptorType, SearchParameters.CustomMdac);
var thisId = new List <string> {
taskId, "Individual Spectra Files", origDataFile
};
NewCollection(Path.GetFileName(origDataFile), thisId);
Status("Loading spectra file...", thisId);
MsDataFile myMsDataFile = myFileManager.LoadFile(origDataFile, combinedParams);
Status("Getting ms2 scans...", thisId);
Ms2ScanWithSpecificMass[] arrayOfMs2ScansSortedByMass = GetMs2Scans(myMsDataFile, origDataFile, combinedParams).OrderBy(b => b.PrecursorMass).ToArray();
numMs2SpectraPerFile.Add(Path.GetFileNameWithoutExtension(origDataFile), new int[] { myMsDataFile.GetAllScansList().Count(p => p.MsnOrder == 2), arrayOfMs2ScansSortedByMass.Length });
myFileManager.DoneWithFile(origDataFile);
PeptideSpectralMatch[] fileSpecificPsms = new PeptideSpectralMatch[arrayOfMs2ScansSortedByMass.Length];
// modern search
if (SearchParameters.SearchType == SearchType.Modern)
{
for (int currentPartition = 0; currentPartition < combinedParams.TotalPartitions; currentPartition++)
{
List <PeptideWithSetModifications> peptideIndex = null;
List <Protein> proteinListSubset = proteinList.GetRange(currentPartition * proteinList.Count / combinedParams.TotalPartitions,
((currentPartition + 1) * proteinList.Count / combinedParams.TotalPartitions) - (currentPartition * proteinList.Count / combinedParams.TotalPartitions));
Status("Getting fragment dictionary...", new List <string> {
taskId
});
var indexEngine = new IndexingEngine(proteinListSubset, variableModifications, fixedModifications, SearchParameters.SilacLabels,
SearchParameters.StartTurnoverLabel, SearchParameters.EndTurnoverLabel, currentPartition, SearchParameters.DecoyType, combinedParams, FileSpecificParameters,
SearchParameters.MaxFragmentSize, false, dbFilenameList.Select(p => new FileInfo(p.FilePath)).ToList(), SearchParameters.TCAmbiguity, new List <string> {
taskId
});
List <int>[] fragmentIndex = null;
List <int>[] precursorIndex = null;
lock (indexLock)
{
GenerateIndexes(indexEngine, dbFilenameList, ref peptideIndex, ref fragmentIndex, ref precursorIndex, proteinList, taskId);
}
Status("Searching files...", taskId);
new ModernSearchEngine(fileSpecificPsms, arrayOfMs2ScansSortedByMass, peptideIndex, fragmentIndex, currentPartition,
combinedParams, this.FileSpecificParameters, massDiffAcceptor, SearchParameters.MaximumMassThatFragmentIonScoreIsDoubled, thisId).Run();
ReportProgress(new ProgressEventArgs(100, "Done with search " + (currentPartition + 1) + "/" + combinedParams.TotalPartitions + "!", thisId));
if (GlobalVariables.StopLoops)
{
break;
}
}
}
// nonspecific search
else if (SearchParameters.SearchType == SearchType.NonSpecific)
{
PeptideSpectralMatch[][] fileSpecificPsmsSeparatedByFdrCategory = new PeptideSpectralMatch[numFdrCategories][]; //generate an array of all possible locals
for (int i = 0; i < numFdrCategories; i++) //only add if we're using for FDR, else ignore it as null.
{
fileSpecificPsmsSeparatedByFdrCategory[i] = new PeptideSpectralMatch[arrayOfMs2ScansSortedByMass.Length];
}
//create params for N, C, or both if semi
List <CommonParameters> paramsToUse = new List <CommonParameters> {
combinedParams
};
if (combinedParams.DigestionParams.SearchModeType == CleavageSpecificity.Semi) //if semi, we need to do both N and C to hit everything
{
paramsToUse.Clear();
List <FragmentationTerminus> terminiToUse = new List <FragmentationTerminus> {
FragmentationTerminus.N, FragmentationTerminus.C
};
foreach (FragmentationTerminus terminus in terminiToUse) //set both termini
{
paramsToUse.Add(combinedParams.CloneWithNewTerminus(terminus));
}
}
//Compress array of deconvoluted ms2 scans to avoid searching the same ms2 multiple times while still identifying coisolated peptides
List <int>[] coisolationIndex = new List <int>[] { new List <int>() };
if (arrayOfMs2ScansSortedByMass.Length != 0)
{
int maxScanNumber = arrayOfMs2ScansSortedByMass.Max(x => x.OneBasedScanNumber);
coisolationIndex = new List <int> [maxScanNumber + 1];
for (int i = 0; i < arrayOfMs2ScansSortedByMass.Length; i++)
{
int scanNumber = arrayOfMs2ScansSortedByMass[i].OneBasedScanNumber;
if (coisolationIndex[scanNumber] == null)
{
coisolationIndex[scanNumber] = new List <int> {
i
};
}
else
{
coisolationIndex[scanNumber].Add(i);
}
}
coisolationIndex = coisolationIndex.Where(x => x != null).ToArray();
}
//foreach terminus we're going to look at
foreach (CommonParameters paramToUse in paramsToUse)
{
//foreach database partition
for (int currentPartition = 0; currentPartition < paramToUse.TotalPartitions; currentPartition++)
{
List <PeptideWithSetModifications> peptideIndex = null;
List <Protein> proteinListSubset = proteinList.GetRange(currentPartition * proteinList.Count / paramToUse.TotalPartitions,
((currentPartition + 1) * proteinList.Count / paramToUse.TotalPartitions) - (currentPartition * proteinList.Count / paramToUse.TotalPartitions));
List <int>[] fragmentIndex = null;
List <int>[] precursorIndex = null;
Status("Getting fragment dictionary...", new List <string> {
taskId
});
var indexEngine = new IndexingEngine(proteinListSubset, variableModifications, fixedModifications, SearchParameters.SilacLabels,
SearchParameters.StartTurnoverLabel, SearchParameters.EndTurnoverLabel, currentPartition, SearchParameters.DecoyType, paramToUse, FileSpecificParameters,
SearchParameters.MaxFragmentSize, true, dbFilenameList.Select(p => new FileInfo(p.FilePath)).ToList(), SearchParameters.TCAmbiguity, new List <string> {
taskId
});
lock (indexLock)
{
GenerateIndexes(indexEngine, dbFilenameList, ref peptideIndex, ref fragmentIndex, ref precursorIndex, proteinList, taskId);
}
Status("Searching files...", taskId);
new NonSpecificEnzymeSearchEngine(fileSpecificPsmsSeparatedByFdrCategory, arrayOfMs2ScansSortedByMass, coisolationIndex, peptideIndex, fragmentIndex,
precursorIndex, currentPartition, paramToUse, this.FileSpecificParameters, variableModifications, massDiffAcceptor,
SearchParameters.MaximumMassThatFragmentIonScoreIsDoubled, thisId).Run();
ReportProgress(new ProgressEventArgs(100, "Done with search " + (currentPartition + 1) + "/" + paramToUse.TotalPartitions + "!", thisId));
if (GlobalVariables.StopLoops)
{
break;
}
}
}
lock (psmLock)
{
for (int i = 0; i < allCategorySpecificPsms.Length; i++)
{
if (allCategorySpecificPsms[i] != null)
{
allCategorySpecificPsms[i].AddRange(fileSpecificPsmsSeparatedByFdrCategory[i]);
}
}
}
}
// classic search
else
{
Status("Starting search...", thisId);
var newClassicSearchEngine = new ClassicSearchEngine(fileSpecificPsms, arrayOfMs2ScansSortedByMass, variableModifications, fixedModifications, SearchParameters.SilacLabels,
SearchParameters.StartTurnoverLabel, SearchParameters.EndTurnoverLabel, proteinList, massDiffAcceptor, combinedParams, this.FileSpecificParameters, spectralLibrary, thisId, SearchParameters.WriteSpectralLibrary);
newClassicSearchEngine.Run();
ReportProgress(new ProgressEventArgs(100, "Done with search!", thisId));
}
//look for internal fragments
if (SearchParameters.MinAllowedInternalFragmentLength != 0)
{
MatchInternalFragmentIons(fileSpecificPsms, arrayOfMs2ScansSortedByMass, combinedParams, SearchParameters.MinAllowedInternalFragmentLength);
}
// calculate/set spectral angles if there is a spectral library being used
if (spectralLibrary != null)
{
Status("Calculating spectral library similarity...", thisId);
}
SpectralLibrarySearchFunction.CalculateSpectralAngles(spectralLibrary, fileSpecificPsms, arrayOfMs2ScansSortedByMass, combinedParams);
lock (psmLock)
{
allPsms.AddRange(fileSpecificPsms);
}
completedFiles++;
FinishedDataFile(origDataFile, new List <string> {
taskId, "Individual Spectra Files", origDataFile
});
ReportProgress(new ProgressEventArgs(completedFiles / currentRawFileList.Count, "Searching...", new List <string> {
taskId, "Individual Spectra Files"
}));
}
if (spectralLibrary != null)
{
spectralLibrary.CloseConnections();
}
ReportProgress(new ProgressEventArgs(100, "Done with all searches!", new List <string> {
taskId, "Individual Spectra Files"
}));
int numNotches = GetNumNotches(SearchParameters.MassDiffAcceptorType, SearchParameters.CustomMdac);
//resolve category specific fdrs (for speedy semi and nonspecific
if (SearchParameters.SearchType == SearchType.NonSpecific)
{
allPsms = NonSpecificEnzymeSearchEngine.ResolveFdrCategorySpecificPsms(allCategorySpecificPsms, numNotches, taskId, CommonParameters, FileSpecificParameters);
}
PostSearchAnalysisParameters parameters = new PostSearchAnalysisParameters
{
SearchTaskResults = MyTaskResults,
SearchTaskId = taskId,
SearchParameters = SearchParameters,
ProteinList = proteinList,
AllPsms = allPsms,
VariableModifications = variableModifications,
FixedModifications = fixedModifications,
ListOfDigestionParams = new HashSet <DigestionParams>(fileSpecificCommonParams.Select(p => p.DigestionParams)),
CurrentRawFileList = currentRawFileList,
MyFileManager = myFileManager,
NumNotches = numNotches,
OutputFolder = OutputFolder,
IndividualResultsOutputFolder = Path.Combine(OutputFolder, "Individual File Results"),
FlashLfqResults = flashLfqResults,
FileSettingsList = fileSettingsList,
NumMs2SpectraPerFile = numMs2SpectraPerFile,
DatabaseFilenameList = dbFilenameList
};
PostSearchAnalysisTask postProcessing = new PostSearchAnalysisTask
{
Parameters = parameters,
FileSpecificParameters = this.FileSpecificParameters,
CommonParameters = CommonParameters
};
return(postProcessing.Run());
}
public static void FdrTestMethod()
{
MassDiffAcceptor searchModes = new DotMassDiffAcceptor(null, new List <double> {
0, 1.0029
}, new PpmTolerance(5));
List <string> nestedIds = new List <string>();
Protein p = new Protein("MNKNNKNNNKNNNNK", null);
DigestionParams digestionParams = new DigestionParams();
var digested = p.Digest(digestionParams, new List <Modification>(), new List <Modification>()).ToList();
PeptideWithSetModifications pep1 = digested[0];
PeptideWithSetModifications pep2 = digested[1];
PeptideWithSetModifications pep3 = digested[2];
PeptideWithSetModifications pep4 = digested[3];
TestDataFile t = new TestDataFile(new List <PeptideWithSetModifications> {
pep1, pep2, pep3
});
MsDataScan mzLibScan1 = t.GetOneBasedScan(2);
Ms2ScanWithSpecificMass scan1 = new Ms2ScanWithSpecificMass(mzLibScan1, pep1.MonoisotopicMass.ToMz(1), 1, null, new CommonParameters());
PeptideSpectralMatch psm1 = new PeptideSpectralMatch(pep1, 0, 3, 0, scan1, digestionParams, new List <MatchedFragmentIon>());
MsDataScan mzLibScan2 = t.GetOneBasedScan(4);
Ms2ScanWithSpecificMass scan2 = new Ms2ScanWithSpecificMass(mzLibScan2, pep2.MonoisotopicMass.ToMz(1), 1, null, new CommonParameters());
PeptideSpectralMatch psm2 = new PeptideSpectralMatch(pep2, 1, 2, 1, scan2, digestionParams, new List <MatchedFragmentIon>());
MsDataScan mzLibScan3 = t.GetOneBasedScan(6);
Ms2ScanWithSpecificMass scan3 = new Ms2ScanWithSpecificMass(mzLibScan3, pep3.MonoisotopicMass.ToMz(1), 1, null, new CommonParameters());
PeptideSpectralMatch psm3 = new PeptideSpectralMatch(pep3, 0, 1, 2, scan3, digestionParams, new List <MatchedFragmentIon>());
psm3.AddOrReplace(pep4, 1, 1, true, new List <MatchedFragmentIon>(), 0);
var newPsms = new List <PeptideSpectralMatch> {
psm1, psm2, psm3
};
foreach (PeptideSpectralMatch psm in newPsms)
{
psm.ResolveAllAmbiguities();
}
FdrAnalysisEngine fdr = new FdrAnalysisEngine(newPsms, searchModes.NumNotches, new CommonParameters(), nestedIds);
fdr.Run();
Assert.AreEqual(2, searchModes.NumNotches);
Assert.AreEqual(0, newPsms[0].FdrInfo.CumulativeDecoyNotch);
Assert.AreEqual(1, newPsms[0].FdrInfo.CumulativeTargetNotch);
Assert.AreEqual(0, newPsms[1].FdrInfo.CumulativeDecoyNotch);
Assert.AreEqual(1, newPsms[1].FdrInfo.CumulativeTargetNotch);
Assert.AreEqual(0, newPsms[2].FdrInfo.CumulativeDecoyNotch);
Assert.AreEqual(1, newPsms[2].FdrInfo.CumulativeTargetNotch);
Assert.AreEqual(0, newPsms[0].FdrInfo.CumulativeDecoy);
Assert.AreEqual(1, newPsms[0].FdrInfo.CumulativeTarget);
Assert.AreEqual(0, newPsms[1].FdrInfo.CumulativeDecoy);
Assert.AreEqual(2, newPsms[1].FdrInfo.CumulativeTarget);
Assert.AreEqual(0, newPsms[2].FdrInfo.CumulativeDecoy);
Assert.AreEqual(3, newPsms[2].FdrInfo.CumulativeTarget);
}
protected override MetaMorpheusEngineResults RunSpecific()
{
double progress = 0;
int oldPercentProgress = 0;
ReportProgress(new ProgressEventArgs(oldPercentProgress, "Performing modern search... " + CurrentPartition + "/" + commonParameters.TotalPartitions, nestedIds));
byte byteScoreCutoff = (byte)commonParameters.ScoreCutoff;
if (commonParameters.CalculateEValue)
{
byteScoreCutoff = 1;
}
int maxThreadsPerFile = commonParameters.MaxThreadsToUsePerFile;
int[] threads = Enumerable.Range(0, maxThreadsPerFile).ToArray();
Parallel.ForEach(threads, (i) =>
{
byte[] scoringTable = new byte[PeptideIndex.Count];
List <int> idsOfPeptidesPossiblyObserved = new List <int>();
for (; i < ListOfSortedMs2Scans.Length; i += maxThreadsPerFile)
{
// Stop loop if canceled
if (GlobalVariables.StopLoops)
{
return;
}
// empty the scoring table to score the new scan (conserves memory compared to allocating a new array)
Array.Clear(scoringTable, 0, scoringTable.Length);
idsOfPeptidesPossiblyObserved.Clear();
Ms2ScanWithSpecificMass scan = ListOfSortedMs2Scans[i];
// get fragment bins for this scan
List <int> allBinsToSearch = GetBinsToSearch(scan);
// get allowed theoretical masses from the known experimental mass
// note that this is the OPPOSITE of the classic search (which calculates experimental masses from theoretical values)
// this is just PRELIMINARY precursor-mass filtering
// additional checks are made later to ensure that the theoretical precursor mass is acceptable
IEnumerable <AllowedIntervalWithNotch> notches = MassDiffAcceptor.GetAllowedPrecursorMassIntervalsFromObservedMass(scan.PrecursorMass);
double lowestMassPeptideToLookFor = notches.Min(p => p.AllowedInterval.Minimum);
double highestMassPeptideToLookFor = notches.Max(p => p.AllowedInterval.Maximum);
// first-pass scoring
IndexedScoring(allBinsToSearch, scoringTable, byteScoreCutoff, idsOfPeptidesPossiblyObserved, scan.PrecursorMass, lowestMassPeptideToLookFor, highestMassPeptideToLookFor, PeptideIndex, MassDiffAcceptor, MaxMassThatFragmentIonScoreIsDoubled, commonParameters.DissociationType);
// done with indexed scoring; refine scores and create PSMs
foreach (int id in idsOfPeptidesPossiblyObserved)
{
PeptideWithSetModifications peptide = PeptideIndex[id];
List <Product> peptideTheorProducts = peptide.Fragment(commonParameters.DissociationType, FragmentationTerminus.Both).ToList();
List <MatchedFragmentIon> matchedIons = MatchFragmentIons(scan, peptideTheorProducts, commonParameters);
double thisScore = CalculatePeptideScore(scan.TheScan, matchedIons);
int notch = MassDiffAcceptor.Accepts(scan.PrecursorMass, peptide.MonoisotopicMass);
bool meetsScoreCutoff = thisScore >= commonParameters.ScoreCutoff;
bool scoreImprovement = PeptideSpectralMatches[i] == null || (thisScore - PeptideSpectralMatches[i].RunnerUpScore) > -PeptideSpectralMatch.ToleranceForScoreDifferentiation;
if (meetsScoreCutoff && scoreImprovement || commonParameters.CalculateEValue)
{
if (PeptideSpectralMatches[i] == null)
{
PeptideSpectralMatches[i] = new PeptideSpectralMatch(peptide, notch, thisScore, i, scan, commonParameters.DigestionParams, matchedIons);
}
else
{
PeptideSpectralMatches[i].AddOrReplace(peptide, thisScore, notch, commonParameters.ReportAllAmbiguity, matchedIons, 0);
}
if (commonParameters.CalculateEValue)
{
PeptideSpectralMatches[i].AllScores.Add(thisScore);
}
}
}
// report search progress
progress++;
var percentProgress = (int)((progress / ListOfSortedMs2Scans.Length) * 100);
if (percentProgress > oldPercentProgress)
{
oldPercentProgress = percentProgress;
ReportProgress(new ProgressEventArgs(percentProgress, "Performing modern search... " + CurrentPartition + "/" + commonParameters.TotalPartitions, nestedIds));
}
}
});
// remove peptides below the score cutoff that were stored to calculate expectation values
if (commonParameters.CalculateEValue)
{
for (int i = 0; i < PeptideSpectralMatches.Length; i++)
{
if (PeptideSpectralMatches[i] != null && PeptideSpectralMatches[i].Score < commonParameters.ScoreCutoff)
{
PeptideSpectralMatches[i] = null;
}
}
}
foreach (PeptideSpectralMatch psm in PeptideSpectralMatches.Where(p => p != null))
{
psm.ResolveAllAmbiguities();
}
return(new MetaMorpheusEngineResults(this));
}
private static Tuple <List <PeptideSpectralMatch>, Dictionary <CompactPeptideBase, HashSet <PeptideWithSetModifications> >, MassDiffAcceptor, bool, CompactPeptideBase, CompactPeptideBase> GetInfo(bool localizeable)
{
CommonParameters CommonParameters = new CommonParameters(digestionParams: new DigestionParams(maxMissedCleavages: 0, minPeptideLength: 1, maxModificationIsoforms: 2, initiatorMethionineBehavior: InitiatorMethionineBehavior.Retain, maxModsForPeptides: 1), scoreCutoff: 1);
// Alanine = Glycine + CH2
Protein protein1 = new Protein("MA", "protein1");
Protein protein2 = new Protein("MG", "protein2");
Protein protein3;
double monoisotopicMass = Chemistry.ChemicalFormula.ParseFormula("CH2").MonoisotopicMass;
ModificationMotif.TryGetMotif("G", out ModificationMotif motif1);
ModificationMotif.TryGetMotif("A", out ModificationMotif motif2);
TerminusLocalization modificationSites = TerminusLocalization.Any;
List <ModificationWithMass> allKnownFixedModifications = new List <ModificationWithMass>
{
new ModificationWithMass("CH2 on Glycine", null, motif1, modificationSites, monoisotopicMass)
};
List <ModificationWithMass> variableModifications;
ModificationWithMass alanineMod = new ModificationWithMass("CH2 on Alanine", null, motif2, modificationSites, monoisotopicMass);
if (localizeable)
{
variableModifications = new List <ModificationWithMass>();
IDictionary <int, List <Modification> > oneBasedModifications = new Dictionary <int, List <Modification> >
{
{ 2, new List <Modification> {
alanineMod
} }
};
protein3 = new Protein("MA", "protein3", oneBasedModifications: oneBasedModifications);
}
else
{
variableModifications = new List <ModificationWithMass>();
variableModifications = new List <ModificationWithMass> {
alanineMod
};
protein3 = new Protein("MA", "protein3");
}
var pepWithSetModifications1 = protein1.Digest(CommonParameters.DigestionParams, allKnownFixedModifications, variableModifications).First();
var pepWithSetModifications2 = protein2.Digest(CommonParameters.DigestionParams, allKnownFixedModifications, variableModifications).First();
var pepWithSetModifications3 = protein3.Digest(CommonParameters.DigestionParams, allKnownFixedModifications, variableModifications).Last();
CompactPeptide compactPeptide1 = new CompactPeptide(pepWithSetModifications1, TerminusType.None);
CompactPeptide compactPeptideDuplicate = new CompactPeptide(pepWithSetModifications2, TerminusType.None);
Assert.AreEqual(compactPeptide1, compactPeptideDuplicate);
CompactPeptide compactPeptide2 = new CompactPeptide(pepWithSetModifications3, TerminusType.None);
string fullFilePath = null;
int precursorCharge = 0;
TestDataFile testDataFile = new TestDataFile();
MsDataScan mzLibScan = testDataFile.GetOneBasedScan(2);
Ms2ScanWithSpecificMass scan = new Ms2ScanWithSpecificMass(mzLibScan, 0, precursorCharge, fullFilePath);
int scanIndex = 0;
double score = 0;
int notch = 0;
PeptideSpectralMatch psm1 = new PeptideSpectralMatch(compactPeptide1, notch, score, scanIndex, scan, CommonParameters.DigestionParams);
psm1.SetFdrValues(0, 0, 0, 0, 0, 0, 0, 0, 0, false);
PeptideSpectralMatch psm2 = new PeptideSpectralMatch(compactPeptide1, notch, score, scanIndex, scan, CommonParameters.DigestionParams);
psm2.SetFdrValues(0, 0, 0, 0, 0, 0, 0, 0, 0, false);
PeptideSpectralMatch psm3 = new PeptideSpectralMatch(compactPeptide2, notch, score, scanIndex, scan, CommonParameters.DigestionParams);
psm3.SetFdrValues(0, 0, 0, 0, 0, 0, 0, 0, 0, false);
var newPsms = new List <PeptideSpectralMatch>
{
psm1,
psm2,
psm3
};
MassDiffAcceptor massDiffAcceptors = new SinglePpmAroundZeroSearchMode(5);
SequencesToActualProteinPeptidesEngine stappe = new SequencesToActualProteinPeptidesEngine(newPsms, new List <Protein> {
protein1, protein2, protein3
},
allKnownFixedModifications, variableModifications, new List <ProductType> {
ProductType.B, ProductType.Y
}, new List <DigestionParams> {
CommonParameters.DigestionParams
}, CommonParameters.ReportAllAmbiguity, CommonParameters, new List <string>());
var haha = (SequencesToActualProteinPeptidesEngineResults)stappe.Run();
var compactPeptideToProteinPeptideMatching = haha.CompactPeptideToProteinPeptideMatching;
Assert.AreEqual(2, compactPeptideToProteinPeptideMatching.Count);
psm1.MatchToProteinLinkedPeptides(compactPeptideToProteinPeptideMatching);
bool noOneHitWonders = false;
return(new Tuple <List <PeptideSpectralMatch>, Dictionary <CompactPeptideBase, HashSet <PeptideWithSetModifications> >, MassDiffAcceptor, bool, CompactPeptideBase, CompactPeptideBase>
(
newPsms, compactPeptideToProteinPeptideMatching, massDiffAcceptors, noOneHitWonders, compactPeptide1, compactPeptide2
));
}
public static List <PeptideSpectralMatch> ResolveFdrCategorySpecificPsms(List <PeptideSpectralMatch>[] AllPsms, int numNotches, string taskId, CommonParameters commonParameters)
{
//update all psms with peptide info
AllPsms.ToList()
.Where(psmArray => psmArray != null).ToList()
.ForEach(psmArray => psmArray.Where(psm => psm != null).ToList()
.ForEach(psm => psm.ResolveAllAmbiguities()));
foreach (List <PeptideSpectralMatch> psmsArray in AllPsms)
{
if (psmsArray != null)
{
List <PeptideSpectralMatch> cleanedPsmsArray = psmsArray.Where(b => b != null).OrderByDescending(b => b.Score)
.ThenBy(b => b.PeptideMonisotopicMass.HasValue ? Math.Abs(b.ScanPrecursorMass - b.PeptideMonisotopicMass.Value) : double.MaxValue)
.GroupBy(b => (b.FullFilePath, b.ScanNumber, b.PeptideMonisotopicMass)).Select(b => b.First()).ToList();
new FdrAnalysisEngine(cleanedPsmsArray, numNotches, commonParameters, new List <string> {
taskId
}).Run();
for (int i = 0; i < psmsArray.Count; i++)
{
if (psmsArray[i] != null)
{
if (psmsArray[i].FdrInfo == null) //if it was grouped in the cleanedPsmsArray
{
psmsArray[i] = null;
}
}
}
}
}
int[] ranking = new int[AllPsms.Length]; //high int is good ranking
List <int> indexesOfInterest = new List <int>();
for (int i = 0; i < ranking.Length; i++)
{
if (AllPsms[i] != null)
{
ranking[i] = AllPsms[i].Where(x => x != null).Count(x => x.FdrInfo.QValue <= 0.01); //set ranking as number of psms above 1% FDR
indexesOfInterest.Add(i);
}
}
//get the index of the category with the highest ranking
int majorCategoryIndex = indexesOfInterest[0];
for (int i = 1; i < indexesOfInterest.Count; i++)
{
int currentCategoryIndex = indexesOfInterest[i];
if (ranking[currentCategoryIndex] > ranking[majorCategoryIndex])
{
majorCategoryIndex = currentCategoryIndex;
}
}
//update other category q-values
//There's a chance of weird categories getting a random decoy before a random target, but we don't want to give that target a q value of zero.
//We can't just take the q of the first decoy, because if the target wasn't random (score = 40), but there are no other targets before the decoy (score = 5), then we're incorrectly dinging the target
//The current solution is such that if a minor category has a lower q value than it's corresponding score in the major category, then its q-value is changed to what it would be in the major category
List <PeptideSpectralMatch> majorCategoryPsms = AllPsms[majorCategoryIndex].Where(x => x != null).OrderByDescending(x => x.Score).ToList(); //get sorted major category
for (int i = 0; i < indexesOfInterest.Count; i++)
{
int minorCategoryIndex = indexesOfInterest[i];
if (minorCategoryIndex != majorCategoryIndex)
{
List <PeptideSpectralMatch> minorCategoryPsms = AllPsms[minorCategoryIndex].Where(x => x != null).OrderByDescending(x => x.Score).ToList(); //get sorted minor category
int minorPsmIndex = 0;
int majorPsmIndex = 0;
while (minorPsmIndex < minorCategoryPsms.Count && majorPsmIndex < majorCategoryPsms.Count) //while in the lists
{
PeptideSpectralMatch majorPsm = majorCategoryPsms[majorPsmIndex];
PeptideSpectralMatch minorPsm = minorCategoryPsms[minorPsmIndex];
//major needs to be a lower score than the minor
if (majorPsm.Score > minorPsm.Score)
{
majorPsmIndex++;
}
else
{
if (majorPsm.FdrInfo.QValue > minorPsm.FdrInfo.QValue)
{
minorPsm.FdrInfo.QValue = majorPsm.FdrInfo.QValue;
}
minorPsmIndex++;
}
}
//wrap up if we hit the end of the major category
while (minorPsmIndex < minorCategoryPsms.Count)
{
PeptideSpectralMatch majorPsm = majorCategoryPsms[majorPsmIndex - 1]; //-1 because it's out of index right now
PeptideSpectralMatch minorPsm = minorCategoryPsms[minorPsmIndex];
if (majorPsm.FdrInfo.QValue > minorPsm.FdrInfo.QValue)
{
minorPsm.FdrInfo.QValue = majorPsm.FdrInfo.QValue;
}
minorPsmIndex++;
}
}
}
int numTotalSpectraWithPrecursors = AllPsms[indexesOfInterest[0]].Count;
List <PeptideSpectralMatch> bestPsmsList = new List <PeptideSpectralMatch>();
for (int i = 0; i < numTotalSpectraWithPrecursors; i++)
{
PeptideSpectralMatch bestPsm = null;
double lowestQ = double.MaxValue;
int bestIndex = -1;
foreach (int index in indexesOfInterest) //foreach category
{
PeptideSpectralMatch currentPsm = AllPsms[index][i];
if (currentPsm != null)
{
double currentQValue = currentPsm.FdrInfo.QValue;
if (currentQValue < lowestQ || //if the new one is better
(currentQValue == lowestQ && currentPsm.Score > bestPsm.Score))
{
if (bestIndex != -1)
{
//remove the old one so we don't use it for fdr later
AllPsms[bestIndex][i] = null;
}
bestPsm = currentPsm;
lowestQ = currentQValue;
bestIndex = index;
}
else //remove the old one so we don't use it for fdr later
{
AllPsms[index][i] = null;
}
}
}
if (bestPsm != null)
{
bestPsmsList.Add(bestPsm);
}
}
//It's probable that psms from some categories were removed by psms from other categories.
//however, the fdr is still affected by their presence, since it was calculated before their removal.
foreach (List <PeptideSpectralMatch> psmsArray in AllPsms)
{
if (psmsArray != null)
{
List <PeptideSpectralMatch> cleanedPsmsArray = psmsArray.Where(b => b != null).OrderByDescending(b => b.Score)
.ThenBy(b => b.PeptideMonisotopicMass.HasValue ? Math.Abs(b.ScanPrecursorMass - b.PeptideMonisotopicMass.Value) : double.MaxValue)
.ToList();
new FdrAnalysisEngine(cleanedPsmsArray, numNotches, commonParameters, new List <string> {
taskId
}).Run();
}
}
return(bestPsmsList.OrderBy(b => b.FdrInfo.QValue).ThenByDescending(b => b.Score).ToList());
}
protected override MyTaskResults RunSpecific(string OutputFolder, List <DbForTask> dbFilenameList, List <string> currentRawFileList, string taskId, FileSpecificParameters[] fileSettingsList)
{
LoadModifications(taskId, out var variableModifications, out var fixedModifications, out var localizeableModificationTypes);
// TODO: print error messages loading GPTMD mods
List <Modification> gptmdModifications = GlobalVariables.AllModsKnown.OfType <Modification>().Where(b => GptmdParameters.ListOfModsGptmd.Contains((b.ModificationType, b.IdWithMotif))).ToList();
IEnumerable <Tuple <double, double> > combos = LoadCombos(gptmdModifications).ToList();
// load proteins
List <Protein> proteinList = LoadProteins(taskId, dbFilenameList, true, DecoyType.Reverse, localizeableModificationTypes, CommonParameters);
List <PeptideSpectralMatch> allPsms = new List <PeptideSpectralMatch>();
var numRawFiles = currentRawFileList.Count;
// write prose settings
ProseCreatedWhileRunning.Append("The following G-PTM-D settings were used: "); ProseCreatedWhileRunning.Append("protease = " + CommonParameters.DigestionParams.Protease + "; ");
ProseCreatedWhileRunning.Append("maximum missed cleavages = " + CommonParameters.DigestionParams.MaxMissedCleavages + "; ");
ProseCreatedWhileRunning.Append("minimum peptide length = " + CommonParameters.DigestionParams.MinPeptideLength + "; ");
ProseCreatedWhileRunning.Append(CommonParameters.DigestionParams.MaxPeptideLength == int.MaxValue ?
"maximum peptide length = unspecified; " :
"maximum peptide length = " + CommonParameters.DigestionParams.MaxPeptideLength + "; ");
ProseCreatedWhileRunning.Append("initiator methionine behavior = " + CommonParameters.DigestionParams.InitiatorMethionineBehavior + "; ");
ProseCreatedWhileRunning.Append("max modification isoforms = " + CommonParameters.DigestionParams.MaxModificationIsoforms + "; ");
ProseCreatedWhileRunning.Append("fixed modifications = " + string.Join(", ", fixedModifications.Select(m => m.IdWithMotif)) + "; ");
ProseCreatedWhileRunning.Append("variable modifications = " + string.Join(", ", variableModifications.Select(m => m.IdWithMotif)) + "; ");
ProseCreatedWhileRunning.Append("G-PTM-D modifications count = " + gptmdModifications.Count + "; ");
// temporary search type for writing prose
// the actual search type is technically file-specific but we don't allow file-specific notches, so it's safe to do this
MassDiffAcceptor tempSearchMode = new DotMassDiffAcceptor("", GetAcceptableMassShifts(fixedModifications, variableModifications, gptmdModifications, combos), CommonParameters.PrecursorMassTolerance);
ProseCreatedWhileRunning.Append("precursor mass tolerance(s) = {" + tempSearchMode.ToProseString() + "}; ");
ProseCreatedWhileRunning.Append("product mass tolerance = " + CommonParameters.ProductMassTolerance + ". ");
ProseCreatedWhileRunning.Append("The combined search database contained " + proteinList.Count(p => !p.IsDecoy) + " non-decoy protein entries including " + proteinList.Where(p => p.IsContaminant).Count() + " contaminant sequences. ");
// start the G-PTM-D task
Status("Running G-PTM-D...", new List <string> {
taskId
});
MyTaskResults = new MyTaskResults(this)
{
NewDatabases = new List <DbForTask>()
};
var fileSpecificCommonParams = fileSettingsList.Select(b => SetAllFileSpecificCommonParams(CommonParameters, b));
HashSet <DigestionParams> ListOfDigestionParams = new HashSet <DigestionParams>(fileSpecificCommonParams.Select(p => p.DigestionParams));
MyFileManager myFileManager = new MyFileManager(true);
object lock1 = new object();
object lock2 = new object();
for (int spectraFileIndex = 0; spectraFileIndex < currentRawFileList.Count; spectraFileIndex++)
{
// Stop if canceled
if (GlobalVariables.StopLoops)
{
break;
}
var origDataFile = currentRawFileList[spectraFileIndex];
// mark the file as in-progress
StartingDataFile(origDataFile, new List <string> {
taskId, "Individual Spectra Files", origDataFile
});
CommonParameters combinedParams = SetAllFileSpecificCommonParams(CommonParameters, fileSettingsList[spectraFileIndex]);
MassDiffAcceptor searchMode = new DotMassDiffAcceptor("", GetAcceptableMassShifts(fixedModifications, variableModifications, gptmdModifications, combos), combinedParams.PrecursorMassTolerance);
NewCollection(Path.GetFileName(origDataFile), new List <string> {
taskId, "Individual Spectra Files", origDataFile
});
Status("Loading spectra file...", new List <string> {
taskId, "Individual Spectra Files", origDataFile
});
MsDataFile myMsDataFile = myFileManager.LoadFile(origDataFile, combinedParams);
Status("Getting ms2 scans...", new List <string> {
taskId, "Individual Spectra Files", origDataFile
});
Ms2ScanWithSpecificMass[] arrayOfMs2ScansSortedByMass = GetMs2Scans(myMsDataFile, origDataFile, combinedParams).OrderBy(b => b.PrecursorMass).ToArray();
myFileManager.DoneWithFile(origDataFile);
PeptideSpectralMatch[] allPsmsArray = new PeptideSpectralMatch[arrayOfMs2ScansSortedByMass.Length];
new ClassicSearchEngine(allPsmsArray, arrayOfMs2ScansSortedByMass, variableModifications, fixedModifications, null, null, null, proteinList, searchMode, combinedParams, new List <string> {
taskId, "Individual Spectra Files", origDataFile
}).Run();
allPsms.AddRange(allPsmsArray.Where(p => p != null));
FinishedDataFile(origDataFile, new List <string> {
taskId, "Individual Spectra Files", origDataFile
});
ReportProgress(new ProgressEventArgs(100, "Done!", new List <string> {
taskId, "Individual Spectra Files", origDataFile
}));
}
ReportProgress(new ProgressEventArgs(100, "Done!", new List <string> {
taskId, "Individual Spectra Files"
}));
allPsms = allPsms.OrderByDescending(b => b.Score)
.ThenBy(b => b.PeptideMonisotopicMass.HasValue ? Math.Abs(b.ScanPrecursorMass - b.PeptideMonisotopicMass.Value) : double.MaxValue)
.GroupBy(b => new Tuple <string, int, double?>(b.FullFilePath, b.ScanNumber, b.PeptideMonisotopicMass))
.Select(b => b.First()).ToList();
new FdrAnalysisEngine(allPsms, tempSearchMode.NumNotches, CommonParameters, new List <string> {
taskId
}).Run();
var writtenFile = Path.Combine(OutputFolder, "GPTMD_Candidates.psmtsv");
WritePsmsToTsv(allPsms, writtenFile, new Dictionary <string, int>());
FinishedWritingFile(writtenFile, new List <string> {
taskId
});
// get file-specific precursor mass tolerances for the GPTMD engine
var filePathToPrecursorMassTolerance = new Dictionary <string, Tolerance>();
for (int i = 0; i < currentRawFileList.Count; i++)
{
string filePath = currentRawFileList[i];
Tolerance fileTolerance = CommonParameters.PrecursorMassTolerance;
if (fileSettingsList[i] != null && fileSettingsList[i].PrecursorMassTolerance != null)
{
fileTolerance = fileSettingsList[i].PrecursorMassTolerance;
}
filePathToPrecursorMassTolerance.Add(filePath, fileTolerance);
}
// run GPTMD engine
var gptmdResults = (GptmdResults) new GptmdEngine(allPsms, gptmdModifications, combos, filePathToPrecursorMassTolerance, CommonParameters, new List <string> {
taskId
}).Run();
// Stop if canceled
if (GlobalVariables.StopLoops)
{
return(MyTaskResults);
}
// write GPTMD databases
if (dbFilenameList.Any(b => !b.IsContaminant))
{
List <string> databaseNames = new List <string>();
foreach (var nonContaminantDb in dbFilenameList.Where(p => !p.IsContaminant))
{
var dbName = Path.GetFileNameWithoutExtension(nonContaminantDb.FilePath);
var theExtension = Path.GetExtension(nonContaminantDb.FilePath).ToLowerInvariant();
bool compressed = theExtension.EndsWith("gz");
databaseNames.Add(compressed ? Path.GetFileNameWithoutExtension(dbName) : dbName);
}
string outputXMLdbFullName = Path.Combine(OutputFolder, string.Join("-", databaseNames) + "GPTMD.xml");
var newModsActuallyWritten = ProteinDbWriter.WriteXmlDatabase(gptmdResults.Mods, proteinList.Where(b => !b.IsDecoy && !b.IsContaminant).ToList(), outputXMLdbFullName);
FinishedWritingFile(outputXMLdbFullName, new List <string> {
taskId
});
MyTaskResults.NewDatabases.Add(new DbForTask(outputXMLdbFullName, false));
MyTaskResults.AddTaskSummaryText("Modifications added: " + newModsActuallyWritten.Select(b => b.Value).Sum());
MyTaskResults.AddTaskSummaryText("Mods types and counts:");
MyTaskResults.AddTaskSummaryText(string.Join(Environment.NewLine, newModsActuallyWritten.OrderByDescending(b => b.Value).Select(b => "\t" + b.Key + "\t" + b.Value)));
}
if (dbFilenameList.Any(b => b.IsContaminant))
{
// do NOT use this code (Path.GetFilenameWithoutExtension) because GPTMD on .xml.gz will result in .xml.xml file type being written
//string outputXMLdbFullNameContaminants = Path.Combine(OutputFolder, string.Join("-", dbFilenameList.Where(b => b.IsContaminant).Select(b => Path.GetFileNameWithoutExtension(b.FilePath))) + "GPTMD.xml");
List <string> databaseNames = new List <string>();
foreach (var contaminantDb in dbFilenameList.Where(p => p.IsContaminant))
{
var dbName = Path.GetFileName(contaminantDb.FilePath);
int indexOfFirstDot = dbName.IndexOf(".");
databaseNames.Add(dbName.Substring(0, indexOfFirstDot));
}
string outputXMLdbFullNameContaminants = Path.Combine(OutputFolder, string.Join("-", databaseNames) + "GPTMD.xml");
var newModsActuallyWritten = ProteinDbWriter.WriteXmlDatabase(gptmdResults.Mods, proteinList.Where(b => !b.IsDecoy && b.IsContaminant).ToList(), outputXMLdbFullNameContaminants);
FinishedWritingFile(outputXMLdbFullNameContaminants, new List <string> {
taskId
});
MyTaskResults.NewDatabases.Add(new DbForTask(outputXMLdbFullNameContaminants, true));
MyTaskResults.AddTaskSummaryText("Contaminant modifications added: " + newModsActuallyWritten.Select(b => b.Value).Sum());
MyTaskResults.AddTaskSummaryText("Mods types and counts:");
MyTaskResults.AddTaskSummaryText(string.Join(Environment.NewLine, newModsActuallyWritten.OrderByDescending(b => b.Value).Select(b => "\t" + b.Key + "\t" + b.Value)));
}
return(MyTaskResults);
}
protected override MetaMorpheusEngineResults RunSpecific()
{
bool semiSpecificSearch = CommonParameters.DigestionParams.SearchModeType == CleavageSpecificity.Semi;
double progress = 0;
int oldPercentProgress = 0;
ReportProgress(new ProgressEventArgs(oldPercentProgress, "Performing nonspecific search... " + CurrentPartition + "/" + CommonParameters.TotalPartitions, NestedIds));
byte byteScoreCutoff = (byte)CommonParameters.ScoreCutoff;
int maxThreadsPerFile = CommonParameters.MaxThreadsToUsePerFile;
int[] threads = Enumerable.Range(0, maxThreadsPerFile).ToArray();
Parallel.ForEach(threads, (i) =>
{
byte[] scoringTable = new byte[PeptideIndex.Count];
HashSet <int> idsOfPeptidesPossiblyObserved = new HashSet <int>();
for (; i < ListOfSortedMs2Scans.Length; i += maxThreadsPerFile)
{
// Stop loop if canceled
if (GlobalVariables.StopLoops)
{
return;
}
// empty the scoring table to score the new scan (conserves memory compared to allocating a new array)
Array.Clear(scoringTable, 0, scoringTable.Length);
idsOfPeptidesPossiblyObserved.Clear();
Ms2ScanWithSpecificMass scan = ListOfSortedMs2Scans[i];
//get bins to add points to
List <int> allBinsToSearch = GetBinsToSearch(scan, FragmentIndex, CommonParameters.DissociationType);
//the entire indexed scoring is done here
for (int j = 0; j < allBinsToSearch.Count; j++)
{
FragmentIndex[allBinsToSearch[j]].ForEach(id => scoringTable[id]++);
}
//populate ids of possibly observed with those containing allowed precursor masses
List <AllowedIntervalWithNotch> validIntervals = MassDiffAcceptor.GetAllowedPrecursorMassIntervalsFromObservedMass(scan.PrecursorMass).ToList(); //get all valid notches
foreach (AllowedIntervalWithNotch interval in validIntervals)
{
int obsPrecursorFloorMz = (int)Math.Floor(interval.AllowedInterval.Minimum * FragmentBinsPerDalton);
int obsPrecursorCeilingMz = (int)Math.Ceiling(interval.AllowedInterval.Maximum * FragmentBinsPerDalton);
foreach (ProductType pt in ProductTypesToSearch)
{
int dissociationBinShift = (int)Math.Round((WaterMonoisotopicMass - DissociationTypeCollection.GetMassShiftFromProductType(pt)) * FragmentBinsPerDalton);
int lowestBin = obsPrecursorFloorMz - dissociationBinShift;
int highestBin = obsPrecursorCeilingMz - dissociationBinShift;
for (int bin = lowestBin; bin <= highestBin; bin++)
{
if (bin < FragmentIndex.Length && FragmentIndex[bin] != null)
{
FragmentIndex[bin].ForEach(id => idsOfPeptidesPossiblyObserved.Add(id));
}
}
}
for (int bin = obsPrecursorFloorMz; bin <= obsPrecursorCeilingMz; bin++) //no bin shift, since they're precursor masses
{
if (bin < PrecursorIndex.Length && PrecursorIndex[bin] != null)
{
PrecursorIndex[bin].ForEach(id => idsOfPeptidesPossiblyObserved.Add(id));
}
}
}
// done with initial scoring; refine scores and create PSMs
if (idsOfPeptidesPossiblyObserved.Any())
{
int maxInitialScore = idsOfPeptidesPossiblyObserved.Max(id => scoringTable[id]) + 1;
while (maxInitialScore > CommonParameters.ScoreCutoff) //go through all until we hit the end
{
maxInitialScore--;
foreach (int id in idsOfPeptidesPossiblyObserved.Where(id => scoringTable[id] == maxInitialScore))
{
PeptideWithSetModifications peptide = PeptideIndex[id];
List <Product> peptideTheorProducts = peptide.Fragment(CommonParameters.DissociationType, CommonParameters.DigestionParams.FragmentationTerminus).ToList();
Tuple <int, PeptideWithSetModifications> notchAndUpdatedPeptide = Accepts(peptideTheorProducts, scan.PrecursorMass, peptide, CommonParameters.DigestionParams.FragmentationTerminus, MassDiffAcceptor, semiSpecificSearch);
int notch = notchAndUpdatedPeptide.Item1;
if (notch >= 0)
{
peptide = notchAndUpdatedPeptide.Item2;
peptideTheorProducts = peptide.Fragment(CommonParameters.DissociationType, FragmentationTerminus.Both).ToList();
List <MatchedFragmentIon> matchedIons = MatchFragmentIons(scan, peptideTheorProducts, ModifiedParametersNoComp);
double thisScore = CalculatePeptideScore(scan.TheScan, matchedIons);
if (thisScore > CommonParameters.ScoreCutoff)
{
PeptideSpectralMatch[] localPeptideSpectralMatches = GlobalCategorySpecificPsms[(int)FdrClassifier.GetCleavageSpecificityCategory(peptide.CleavageSpecificityForFdrCategory)];
if (localPeptideSpectralMatches[i] == null)
{
localPeptideSpectralMatches[i] = new PeptideSpectralMatch(peptide, notch, thisScore, i, scan, CommonParameters.DigestionParams, matchedIons);
}
else
{
localPeptideSpectralMatches[i].AddOrReplace(peptide, thisScore, notch, CommonParameters.ReportAllAmbiguity, matchedIons, 0);
}
}
}
}
}
}
// report search progress
progress++;
int percentProgress = (int)((progress / ListOfSortedMs2Scans.Length) * 100);
if (percentProgress > oldPercentProgress)
{
oldPercentProgress = percentProgress;
ReportProgress(new ProgressEventArgs(percentProgress, "Performing nonspecific search... " + CurrentPartition + "/" + CommonParameters.TotalPartitions, NestedIds));
}
}
});
return(new MetaMorpheusEngineResults(this));
}
