int main()
{
// Insert of two features into a map and iterate over the features.
FeatureMap map;
Feature feature;
feature.setRT(15.0);
feature.setMZ(571.3);
map.push_back(feature); //append feature 1
feature.setRT(23.3);
feature.setMZ(1311.3);
map.push_back(feature); //append feature 2
// Iteration over FeatureMap
for (auto it = map.begin(); it != map.end(); ++it)
{
cout << it->getRT() << " - " << it->getMZ() << endl;
}
// Calculate and output the ranges
map.updateRanges();
cout << "Int: " << map.getMinInt() << " - " << map.getMaxInt() << endl;
cout << "RT: " << map.getMin()[0] << " - " << map.getMax()[0] << endl;
cout << "m/z: " << map.getMin()[1] << " - " << map.getMax()[1] << endl;
// ... and many more
return 0;
} //end of main
ExitCodes main_(int, const char**)
{
vector<ProteinIdentification> prot_ids;
vector<PeptideIdentification> pep_ids;
ProteinHit temp_protein_hit;
//-------------------------------------------------------------
// parsing parameters
//-------------------------------------------------------------
String inputfile_id = getStringOption_("id");
String inputfile_feature = getStringOption_("feature");
String inputfile_consensus = getStringOption_("consensus");
String inputfile_raw = getStringOption_("in");
String outputfile_name = getStringOption_("out");
//~ bool Ms1(getFlag_("MS1"));
//~ bool Ms2(getFlag_("MS2"));
bool remove_duplicate_features(getFlag_("remove_duplicate_features"));
//-------------------------------------------------------------
// fetch vocabularies
//------------------------------------------------------------
ControlledVocabulary cv;
cv.loadFromOBO("PSI-MS", File::find("/CV/psi-ms.obo"));
cv.loadFromOBO("QC", File::find("/CV/qc-cv.obo"));
QcMLFile qcmlfile;
//-------------------------------------------------------------
// MS aqiusition
//------------------------------------------------------------
String base_name = QFileInfo(QString::fromStdString(inputfile_raw)).baseName();
cout << "Reading mzML file..." << endl;
MzMLFile mz_data_file;
MSExperiment<Peak1D> exp;
MzMLFile().load(inputfile_raw, exp);
//---prep input
exp.sortSpectra();
UInt min_mz = std::numeric_limits<UInt>::max();
UInt max_mz = 0;
std::map<Size, UInt> mslevelcounts;
qcmlfile.registerRun(base_name,base_name); //TODO use UIDs
//---base MS aquisition qp
String msaq_ref = base_name + "_msaq";
QcMLFile::QualityParameter qp;
qp.id = msaq_ref; ///< Identifier
qp.cvRef = "QC"; ///< cv reference
qp.cvAcc = "QC:0000004";
try
{
//~ const ControlledVocabulary::CVTerm& test = cv.getTermByName("MS aquisition result details");
//~ cout << test.name << test.id << endl;
const ControlledVocabulary::CVTerm& term = cv.getTerm(qp.cvAcc);
//~ const ControlledVocabulary::CVTerm& term = cv.getTerm("0000004");
qp.name = term.name; ///< Name
}
catch (...)
{
qp.name = "mzML file"; ///< Name
}
qcmlfile.addRunQualityParameter(base_name, qp);
//---file origin qp
qp = QcMLFile::QualityParameter();
qp.name = "mzML file"; ///< Name
qp.id = base_name + "_run_name"; ///< Identifier
qp.cvRef = "MS"; ///< cv reference
qp.cvAcc = "MS:1000577";
qp.value = base_name;
qcmlfile.addRunQualityParameter(base_name, qp);
qp = QcMLFile::QualityParameter();
qp.name = "instrument model"; ///< Name
qp.id = base_name + "_instrument_name"; ///< Identifier
qp.cvRef = "MS"; ///< cv reference
qp.cvAcc = "MS:1000031";
qp.value = exp.getInstrument().getName();
qcmlfile.addRunQualityParameter(base_name, qp);
qp = QcMLFile::QualityParameter();
qp.name = "completion time"; ///< Name
qp.id = base_name + "_date"; ///< Identifier
qp.cvRef = "MS"; ///< cv reference
qp.cvAcc = "MS:1000747";
qp.value = exp.getDateTime().getDate();
qcmlfile.addRunQualityParameter(base_name, qp);
//---precursors at
QcMLFile::Attachment at;
at.cvRef = "QC"; ///< cv reference
at.cvAcc = "QC:0000044";
at.qualityRef = msaq_ref;
at.id = base_name + "_precursors"; ///< Identifier
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(at.cvAcc);
at.name = term.name; ///< Name
}
catch (...)
{
at.name = "precursors"; ///< Name
}
at.colTypes.push_back("MS:1000894_[sec]"); //RT
at.colTypes.push_back("MS:1000040"); //MZ
for (Size i = 0; i < exp.size(); ++i)
{
mslevelcounts[exp[i].getMSLevel()]++;
if (exp[i].getMSLevel() == 2)
{
if (exp[i].getPrecursors().front().getMZ() < min_mz)
{
min_mz = exp[i].getPrecursors().front().getMZ();
}
if (exp[i].getPrecursors().front().getMZ() > max_mz)
{
max_mz = exp[i].getPrecursors().front().getMZ();
}
std::vector<String> row;
row.push_back(exp[i].getRT());
row.push_back(exp[i].getPrecursors().front().getMZ());
at.tableRows.push_back(row);
}
}
qcmlfile.addRunAttachment(base_name, at);
//---aquisition results qp
qp = QcMLFile::QualityParameter();
qp.cvRef = "QC"; ///< cv reference
qp.cvAcc = "QC:0000006"; ///< cv accession for "aquisition results"
qp.id = base_name + "_ms1aquisition"; ///< Identifier
qp.value = String(mslevelcounts[1]);
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(qp.cvAcc);
qp.name = term.name; ///< Name
}
catch (...)
{
qp.name = "number of ms1 spectra"; ///< Name
}
qcmlfile.addRunQualityParameter(base_name, qp);
qp = QcMLFile::QualityParameter();
qp.cvRef = "QC"; ///< cv reference
qp.cvAcc = "QC:0000007"; ///< cv accession for "aquisition results"
qp.id = base_name + "_ms2aquisition"; ///< Identifier
qp.value = String(mslevelcounts[2]);
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(qp.cvAcc);
qp.name = term.name; ///< Name
}
catch (...)
{
qp.name = "number of ms2 spectra"; ///< Name
}
qcmlfile.addRunQualityParameter(base_name, qp);
qp = QcMLFile::QualityParameter();
qp.cvRef = "QC"; ///< cv reference
qp.cvAcc = "QC:0000008"; ///< cv accession for "aquisition results"
qp.id = base_name + "_Chromaquisition"; ///< Identifier
qp.value = String(exp.getChromatograms().size());
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(qp.cvAcc);
qp.name = term.name; ///< Name
}
catch (...)
{
qp.name = "number of chromatograms"; ///< Name
}
qcmlfile.addRunQualityParameter(base_name, qp);
at = QcMLFile::Attachment();
at.cvRef = "QC"; ///< cv reference
at.cvAcc = "QC:0000009";
at.qualityRef = msaq_ref;
at.id = base_name + "_mzrange"; ///< Identifier
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(at.cvAcc);
at.name = term.name; ///< Name
}
catch (...)
{
at.name = "MS MZ aquisition ranges"; ///< Name
}
at.colTypes.push_back("QC:0000010"); //MZ
at.colTypes.push_back("QC:0000011"); //MZ
std::vector<String> rowmz;
rowmz.push_back(String(min_mz));
rowmz.push_back(String(max_mz));
at.tableRows.push_back(rowmz);
qcmlfile.addRunAttachment(base_name, at);
at = QcMLFile::Attachment();
at.cvRef = "QC"; ///< cv reference
at.cvAcc = "QC:0000012";
at.qualityRef = msaq_ref;
at.id = base_name + "_rtrange"; ///< Identifier
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(at.cvAcc);
at.name = term.name; ///< Name
}
catch (...)
{
at.name = "MS RT aquisition ranges"; ///< Name
}
at.colTypes.push_back("QC:0000013"); //MZ
at.colTypes.push_back("QC:0000014"); //MZ
std::vector<String> rowrt;
rowrt.push_back(String(exp.begin()->getRT()));
rowrt.push_back(String(exp.getSpectra().back().getRT()));
at.tableRows.push_back(rowrt);
qcmlfile.addRunAttachment(base_name, at);
//---ion current stability ( & tic ) qp
at = QcMLFile::Attachment();
at.cvRef = "QC"; ///< cv reference
at.cvAcc = "QC:0000022";
at.qualityRef = msaq_ref;
at.id = base_name + "_tics"; ///< Identifier
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(at.cvAcc);
at.name = term.name; ///< Name
}
catch (...)
{
at.name = "MS TICs"; ///< Name
}
at.colTypes.push_back("MS:1000894_[sec]");
at.colTypes.push_back("MS:1000285");
UInt max = 0;
Size below_10k = 0;
for (Size i = 0; i < exp.size(); ++i)
{
if (exp[i].getMSLevel() == 1)
{
UInt sum = 0;
for (Size j = 0; j < exp[i].size(); ++j)
{
sum += exp[i][j].getIntensity();
}
if (sum > max)
{
max = sum;
}
if (sum < 10000)
{
++below_10k;
}
std::vector<String> row;
row.push_back(exp[i].getRT());
row.push_back(sum);
at.tableRows.push_back(row);
}
}
qcmlfile.addRunAttachment(base_name, at);
qp = QcMLFile::QualityParameter();
qp.id = base_name + "_ticslump"; ///< Identifier
qp.cvRef = "QC"; ///< cv reference
qp.cvAcc = "QC:0000023";
qp.value = String((100 / exp.size()) * below_10k);
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(qp.cvAcc);
qp.name = term.name; ///< Name
}
catch (...)
{
qp.name = "percentage of tic slumps"; ///< Name
}
qcmlfile.addRunQualityParameter(base_name, qp);
//-------------------------------------------------------------
// MS id
//------------------------------------------------------------
if (inputfile_id != "")
{
IdXMLFile().load(inputfile_id, prot_ids, pep_ids);
cerr << "idXML read ended. Found " << pep_ids.size() << " peptide identifications." << endl;
ProteinIdentification::SearchParameters params = prot_ids[0].getSearchParameters();
vector<String> var_mods = params.variable_modifications;
//~ boost::regex re("(?<=[KR])(?=[^P])");
String msid_ref = base_name + "_msid";
QcMLFile::QualityParameter qp;
qp.id = msid_ref; ///< Identifier
qp.cvRef = "QC"; ///< cv reference
qp.cvAcc = "QC:0000025";
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(qp.cvAcc);
qp.name = term.name; ///< Name
}
catch (...)
{
qp.name = "MS identification result details"; ///< Name
}
qcmlfile.addRunQualityParameter(base_name, qp);
at = QcMLFile::Attachment();
at.cvRef = "QC"; ///< cv reference
at.cvAcc = "QC:0000026";
at.qualityRef = msid_ref;
at.id = base_name + "_idsetting"; ///< Identifier
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(at.cvAcc);
at.name = term.name; ///< Name
}
catch (...)
{
at.name = "MS id settings"; ///< Name
}
at.colTypes.push_back("MS:1001013"); //MS:1001013 db name MS:1001016 version MS:1001020 taxonomy
at.colTypes.push_back("MS:1001016");
at.colTypes.push_back("MS:1001020");
std::vector<String> row;
row.push_back(String(prot_ids.front().getSearchParameters().db));
row.push_back(String(prot_ids.front().getSearchParameters().db_version));
row.push_back(String(prot_ids.front().getSearchParameters().taxonomy));
at.tableRows.push_back(row);
qcmlfile.addRunAttachment(base_name, at);
UInt spectrum_count = 0;
Size peptide_hit_count = 0;
UInt runs_count = 0;
Size protein_hit_count = 0;
set<String> peptides;
set<String> proteins;
Size missedcleavages = 0;
for (Size i = 0; i < pep_ids.size(); ++i)
{
if (!pep_ids[i].empty())
{
++spectrum_count;
peptide_hit_count += pep_ids[i].getHits().size();
const vector<PeptideHit>& temp_hits = pep_ids[i].getHits();
for (Size j = 0; j < temp_hits.size(); ++j)
{
peptides.insert(temp_hits[j].getSequence().toString());
}
}
}
for (set<String>::iterator it = peptides.begin(); it != peptides.end(); ++it)
{
for (String::const_iterator st = it->begin(); st != it->end() - 1; ++st)
{
if (*st == 'K' || *st == 'R')
{
++missedcleavages;
}
}
}
for (Size i = 0; i < prot_ids.size(); ++i)
{
++runs_count;
protein_hit_count += prot_ids[i].getHits().size();
const vector<ProteinHit>& temp_hits = prot_ids[i].getHits();
for (Size j = 0; j < temp_hits.size(); ++j)
{
proteins.insert(temp_hits[j].getAccession());
}
}
qp = QcMLFile::QualityParameter();
qp.cvRef = "QC"; ///< cv reference
qp.cvAcc = "QC:0000037"; ///< cv accession
qp.id = base_name + "_misscleave"; ///< Identifier
qp.value = missedcleavages;
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(qp.cvAcc);
qp.name = term.name; ///< Name
}
catch (...)
{
qp.name = "total number of missed cleavages"; ///< Name
}
qcmlfile.addRunQualityParameter(base_name, qp);
qp = QcMLFile::QualityParameter();
qp.cvRef = "QC"; ///< cv reference
qp.cvAcc = "QC:0000032"; ///< cv accession
qp.id = base_name + "_totprot"; ///< Identifier
qp.value = protein_hit_count;
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(qp.cvAcc);
qp.name = term.name; ///< Name
}
catch (...)
{
qp.name = "total number of identified proteins"; ///< Name
}
qcmlfile.addRunQualityParameter(base_name, qp);
qp = QcMLFile::QualityParameter();
qp.cvRef = "QC"; ///< cv reference
qp.cvAcc = "QC:0000033"; ///< cv accession
qp.id = base_name + "_totuniqprot"; ///< Identifier
qp.value = String(proteins.size());
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(qp.cvAcc);
qp.name = term.name; ///< Name
}
catch (...)
{
qp.name = "total number of uniquely identified proteins"; ///< Name
}
qcmlfile.addRunQualityParameter(base_name, qp);
qp = QcMLFile::QualityParameter();
qp.cvRef = "QC"; ///< cv reference
qp.cvAcc = "QC:0000029"; ///< cv accession
qp.id = base_name + "_psms"; ///< Identifier
qp.value = String(spectrum_count);
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(qp.cvAcc);
qp.name = term.name; ///< Name
}
catch (...)
{
qp.name = "total number of PSM"; ///< Name
}
qcmlfile.addRunQualityParameter(base_name, qp);
qp = QcMLFile::QualityParameter();
qp.cvRef = "QC"; ///< cv reference
qp.cvAcc = "QC:0000030"; ///< cv accession
qp.id = base_name + "_totpeps"; ///< Identifier
qp.value = String(peptide_hit_count);
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(qp.cvAcc);
qp.name = term.name; ///< Name
}
catch (...)
{
qp.name = "total number of identified peptides"; ///< Name
}
qcmlfile.addRunQualityParameter(base_name, qp);
qp = QcMLFile::QualityParameter();
qp.cvRef = "QC"; ///< cv reference
qp.cvAcc = "QC:0000031"; ///< cv accession
qp.id = base_name + "_totuniqpeps"; ///< Identifier
qp.value = String(peptides.size());
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(qp.cvAcc);
qp.name = term.name; ///< Name
}
catch (...)
{
qp.name = "total number of uniquely identified peptides"; ///< Name
}
qcmlfile.addRunQualityParameter(base_name, qp);
at = QcMLFile::Attachment();
at.cvRef = "QC"; ///< cv reference
at.cvAcc = "QC:0000038";
at.qualityRef = msid_ref;
at.id = base_name + "_massacc"; ///< Identifier
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(at.cvAcc);
at.name = term.name; ///< Name
}
catch (...)
{
at.name = "delta ppm tables";
}
//~ delta ppm QC:0000039 RT MZ uniqueness ProteinID MS:1000885 target/decoy Score PeptideSequence MS:1000889 Annots string Similarity Charge UO:0000219 TheoreticalWeight UO:0000221 Oxidation_(M)
at.colTypes.push_back("RT");
at.colTypes.push_back("MZ");
at.colTypes.push_back("Score");
at.colTypes.push_back("PeptideSequence");
at.colTypes.push_back("Charge");
at.colTypes.push_back("TheoreticalWeight");
at.colTypes.push_back("delta_ppm");
for (UInt w = 0; w < var_mods.size(); ++w)
{
at.colTypes.push_back(String(var_mods[w]).substitute(' ', '_'));
}
std::vector<double> deltas;
//~ prot_ids[0].getSearchParameters();
for (vector<PeptideIdentification>::iterator it = pep_ids.begin(); it != pep_ids.end(); ++it)
{
if (it->getHits().size() > 0)
{
std::vector<String> row;
row.push_back(it->getRT());
row.push_back(it->getMZ());
PeptideHit tmp = it->getHits().front(); //TODO depends on score & sort
vector<UInt> pep_mods;
for (UInt w = 0; w < var_mods.size(); ++w)
{
pep_mods.push_back(0);
}
for (AASequence::ConstIterator z = tmp.getSequence().begin(); z != tmp.getSequence().end(); ++z)
{
Residue res = *z;
String temp;
if (res.getModification().size() > 0 && res.getModification() != "Carbamidomethyl")
{
temp = res.getModification() + " (" + res.getOneLetterCode() + ")";
//cout<<res.getModification()<<endl;
for (UInt w = 0; w < var_mods.size(); ++w)
{
if (temp == var_mods[w])
{
//cout<<temp;
pep_mods[w] += 1;
}
}
}
}
row.push_back(tmp.getScore());
row.push_back(tmp.getSequence().toString().removeWhitespaces());
row.push_back(tmp.getCharge());
row.push_back(String((tmp.getSequence().getMonoWeight() + tmp.getCharge() * Constants::PROTON_MASS_U) / tmp.getCharge()));
double dppm = /* std::abs */ (getMassDifference(((tmp.getSequence().getMonoWeight() + tmp.getCharge() * Constants::PROTON_MASS_U) / tmp.getCharge()), it->getMZ(), true));
row.push_back(String(dppm));
deltas.push_back(dppm);
for (UInt w = 0; w < var_mods.size(); ++w)
{
row.push_back(pep_mods[w]);
}
at.tableRows.push_back(row);
}
}
qcmlfile.addRunAttachment(base_name, at);
qp = QcMLFile::QualityParameter();
qp.cvRef = "QC"; ///< cv reference
qp.cvAcc = "QC:0000040"; ///< cv accession
qp.id = base_name + "_mean_delta"; ///< Identifier
qp.value = String(OpenMS::Math::mean(deltas.begin(), deltas.end()));
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(qp.cvAcc);
qp.name = term.name; ///< Name
}
catch (...)
{
qp.name = "mean delta ppm"; ///< Name
}
qcmlfile.addRunQualityParameter(base_name, qp);
qp = QcMLFile::QualityParameter();
qp.cvRef = "QC"; ///< cv reference
qp.cvAcc = "QC:0000041"; ///< cv accession
qp.id = base_name + "_median_delta"; ///< Identifier
qp.value = String(OpenMS::Math::median(deltas.begin(), deltas.end(), false));
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(qp.cvAcc);
qp.name = term.name; ///< Name
}
catch (...)
{
qp.name = "median delta ppm"; ///< Name
}
qcmlfile.addRunQualityParameter(base_name, qp);
qp = QcMLFile::QualityParameter();
qp.cvRef = "QC"; ///< cv reference
qp.cvAcc = "QC:0000035"; ///< cv accession
qp.id = base_name + "_ratio_id"; ///< Identifier
qp.value = String(double(pep_ids.size()) / double(mslevelcounts[2]));
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(qp.cvAcc);
qp.name = term.name; ///< Name
}
catch (...)
{
qp.name = "id ratio"; ///< Name
}
qcmlfile.addRunQualityParameter(base_name, qp);
}
//-------------------------------------------------------------
// MS quantitation
//------------------------------------------------------------
FeatureMap map;
String msqu_ref = base_name + "_msqu";
if (inputfile_feature != "")
{
FeatureXMLFile f;
f.load(inputfile_feature, map);
cout << "Read featureXML file..." << endl;
//~ UInt fiter = 0;
map.sortByRT();
map.updateRanges();
qp = QcMLFile::QualityParameter();
qp.cvRef = "QC"; ///< cv reference
qp.cvAcc = "QC:0000045"; ///< cv accession
qp.id = msqu_ref; ///< Identifier
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(qp.cvAcc);
qp.name = term.name; ///< Name
}
catch (...)
{
qp.name = "MS quantification result details"; ///< Name
}
qcmlfile.addRunQualityParameter(base_name, qp);
qp = QcMLFile::QualityParameter();
qp.cvRef = "QC"; ///< cv reference
qp.cvAcc = "QC:0000046"; ///< cv accession
qp.id = base_name + "_feature_count"; ///< Identifier
qp.value = String(map.size());
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(qp.cvAcc);
qp.name = term.name; ///< Name
}
catch (...)
{
qp.name = "number of features"; ///< Name
}
qcmlfile.addRunQualityParameter(base_name, qp);
}
if (inputfile_feature != "" && !remove_duplicate_features)
{
QcMLFile::Attachment at;
at = QcMLFile::Attachment();
at.cvRef = "QC"; ///< cv reference
at.cvAcc = "QC:0000047";
at.qualityRef = msqu_ref;
at.id = base_name + "_features"; ///< Identifier
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(at.cvAcc);
at.name = term.name; ///< Name
}
catch (...)
{
at.name = "features"; ///< Name
}
at.colTypes.push_back("MZ");
at.colTypes.push_back("RT");
at.colTypes.push_back("Intensity");
at.colTypes.push_back("Charge");
at.colTypes.push_back("Quality");
at.colTypes.push_back("FWHM");
at.colTypes.push_back("IDs");
UInt fiter = 0;
map.sortByRT();
//ofstream out(outputfile_name.c_str());
while (fiter < map.size())
{
std::vector<String> row;
row.push_back(map[fiter].getMZ());
row.push_back(map[fiter].getRT());
row.push_back(map[fiter].getIntensity());
row.push_back(map[fiter].getCharge());
row.push_back(map[fiter].getOverallQuality());
row.push_back(map[fiter].getWidth());
row.push_back(map[fiter].getPeptideIdentifications().size());
fiter++;
at.tableRows.push_back(row);
}
qcmlfile.addRunAttachment(base_name, at);
}
else if (inputfile_feature != "" && remove_duplicate_features)
{
QcMLFile::Attachment at;
at = QcMLFile::Attachment();
at.cvRef = "QC"; ///< cv reference
at.cvAcc = "QC:0000047";
at.qualityRef = msqu_ref;
at.id = base_name + "_features"; ///< Identifier
try
{
const ControlledVocabulary::CVTerm& term = cv.getTerm(at.cvAcc);
at.name = term.name; ///< Name
}
catch (...)
{
at.name = "features"; ///< Name
}
at.colTypes.push_back("MZ");
at.colTypes.push_back("RT");
at.colTypes.push_back("Intensity");
at.colTypes.push_back("Charge");
FeatureMap map, map_out;
FeatureXMLFile f;
f.load(inputfile_feature, map);
UInt fiter = 0;
map.sortByRT();
while (fiter < map.size())
{
FeatureMap map_tmp;
for (UInt k = fiter; k <= map.size(); ++k)
{
if (abs(map[fiter].getRT() - map[k].getRT()) < 0.1)
{
//~ cout << fiter << endl;
map_tmp.push_back(map[k]);
}
else
{
fiter = k;
break;
}
}
map_tmp.sortByMZ();
UInt retif = 1;
map_out.push_back(map_tmp[0]);
while (retif < map_tmp.size())
{
if (abs(map_tmp[retif].getMZ() - map_tmp[retif - 1].getMZ()) > 0.01)
{
cout << "equal RT, but mass different" << endl;
map_out.push_back(map_tmp[retif]);
}
retif++;
}
}
qcmlfile.addRunAttachment(base_name, at);
}
if (inputfile_consensus != "")
{
cout << "Reading consensusXML file..." << endl;
ConsensusXMLFile f;
ConsensusMap map;
f.load(inputfile_consensus, map);
//~ String CONSENSUS_NAME = "_consensus.tsv";
//~ String combined_out = outputfile_name + CONSENSUS_NAME;
//~ ofstream out(combined_out.c_str());
at = QcMLFile::Attachment();
qp.name = "consensuspoints"; ///< Name
//~ qp.id = base_name + "_consensuses"; ///< Identifier
qp.cvRef = "QC"; ///< cv reference
qp.cvAcc = "QC:xxxxxxxx"; ///< cv accession "featuremapper results"
at.colTypes.push_back("Native_spectrum_ID");
at.colTypes.push_back("DECON_RT_(sec)");
at.colTypes.push_back("DECON_MZ_(Th)");
at.colTypes.push_back("DECON_Intensity");
at.colTypes.push_back("Feature_RT_(sec)");
at.colTypes.push_back("Feature_MZ_(Th)");
at.colTypes.push_back("Feature_Intensity");
at.colTypes.push_back("Feature_Charge");
for (ConsensusMap::const_iterator cmit = map.begin(); cmit != map.end(); ++cmit)
{
const ConsensusFeature& CF = *cmit;
for (ConsensusFeature::const_iterator cfit = CF.begin(); cfit != CF.end(); ++cfit)
{
std::vector<String> row;
FeatureHandle FH = *cfit;
row.push_back(CF.getMetaValue("spectrum_native_id"));
row.push_back(CF.getRT()); row.push_back(CF.getMZ());
row.push_back(CF.getIntensity());
row.push_back(FH.getRT());
row.push_back(FH.getMZ());
row.push_back(FH.getCharge());
at.tableRows.push_back(row);
}
}
qcmlfile.addRunAttachment(base_name, at);
}
//-------------------------------------------------------------
// finalize
//------------------------------------------------------------
qcmlfile.store(outputfile_name);
return EXECUTION_OK;
}
ExitCodes outputTo(ostream& os)
{
//-------------------------------------------------------------
// Parameter handling
//-------------------------------------------------------------
// File names
String in = getStringOption_("in");
// File type
FileHandler fh;
FileTypes::Type in_type = FileTypes::nameToType(getStringOption_("in_type"));
if (in_type == FileTypes::UNKNOWN)
{
in_type = fh.getType(in);
writeDebug_(String("Input file type: ") + FileTypes::typeToName(in_type), 2);
}
if (in_type == FileTypes::UNKNOWN)
{
writeLog_("Error: Could not determine input file type!");
return PARSE_ERROR;
}
MSExperiment<Peak1D> exp;
FeatureMap feat;
ConsensusMap cons;
if (in_type == FileTypes::FEATUREXML) //features
{
FeatureXMLFile().load(in, feat);
feat.updateRanges();
}
else if (in_type == FileTypes::CONSENSUSXML) //consensus features
{
ConsensusXMLFile().load(in, cons);
cons.updateRanges();
}
//-------------------------------------------------------------
// meta information
//-------------------------------------------------------------
if (getFlag_("m"))
{
os << endl
<< "-- General information --" << endl
<< endl
<< "file name: " << in << endl
<< "file type: " << FileTypes::typeToName(in_type) << endl;
//basic info
os << endl
<< "-- Meta information --" << endl
<< endl;
if (in_type == FileTypes::FEATUREXML) //features
{
os << "Document id : " << feat.getIdentifier() << endl << endl;
}
else if (in_type == FileTypes::CONSENSUSXML) //consensus features
{
os << "Document id : " << cons.getIdentifier() << endl << endl;
}
}
//-------------------------------------------------------------
// data processing
//-------------------------------------------------------------
if (getFlag_("p"))
{
//basic info
os << endl
<< "-- Data processing information --" << endl
<< endl;
//get data processing info
vector<DataProcessing> dp;
if (in_type == FileTypes::FEATUREXML) //features
{
dp = feat.getDataProcessing();
}
else if (in_type == FileTypes::CONSENSUSXML) //consensus features
{
dp = cons.getDataProcessing();
}
int i = 0;
for (vector<DataProcessing>::iterator it = dp.begin(); it != dp.end(); ++it)
{
os << "Data processing " << i << endl;
os << "\tcompletion_time: " << (*it).getCompletionTime().getDate() << 'T' << (*it).getCompletionTime().getTime() << endl;
os << "\tsoftware name: " << (*it).getSoftware().getName() << " version " << (*it).getSoftware().getVersion() << endl;
for (set<DataProcessing::ProcessingAction>::const_iterator paIt = (*it).getProcessingActions().begin(); paIt != (*it).getProcessingActions().end(); ++paIt)
{
os << "\t\tprocessing action: " << DataProcessing::NamesOfProcessingAction[*paIt] << endl;
}
}
++i;
}
//-------------------------------------------------------------
// statistics
//-------------------------------------------------------------
if (getFlag_("s"))
{
//-------------------------------------------------------------
// Content statistics
//-------------------------------------------------------------
Map<String, int> meta_names;
if (in_type == FileTypes::FEATUREXML) //features
{
os << "Number of features: " << feat.size() << endl
<< endl
<< "Ranges:" << endl
<< " retention time: " << String::number(feat.getMin()[Peak2D::RT], 2) << " : " << String::number(feat.getMax()[Peak2D::RT], 2) << endl
<< " mass-to-charge: " << String::number(feat.getMin()[Peak2D::MZ], 2) << " : " << String::number(feat.getMax()[Peak2D::MZ], 2) << endl
<< " intensity: " << String::number(feat.getMinInt(), 2) << " : " << String::number(feat.getMaxInt(), 2) << endl
<< endl;
// Charge distribution
Map<UInt, UInt> charges;
for (Size i = 0; i < feat.size(); ++i)
{
charges[feat[i].getCharge()]++;
}
os << "Charge distribution" << endl;
for (Map<UInt, UInt>::const_iterator it = charges.begin();
it != charges.end(); ++it)
{
os << "charge " << it->first << ": " << it->second << endl;
}
}
else if (in_type == FileTypes::CONSENSUSXML) //consensus features
{
map<Size, UInt> num_consfeat_of_size;
for (ConsensusMap::const_iterator cmit = cons.begin();
cmit != cons.end(); ++cmit)
{
++num_consfeat_of_size[cmit->size()];
}
os << endl << "Number of consensus features:" << endl;
for (map<Size, UInt>::reverse_iterator i = num_consfeat_of_size.rbegin(); i != num_consfeat_of_size.rend(); ++i)
{
os << " of size " << setw(2) << i->first << ": " << setw(6) << i->second << endl;
}
os << " total: " << setw(6) << cons.size() << endl << endl;
os << "Ranges:" << endl
<< " retention time: " << String::number(cons.getMin()[Peak2D::RT], 2) << " : " << String::number(cons.getMax()[Peak2D::RT], 2) << endl
<< " mass-to-charge: " << String::number(cons.getMin()[Peak2D::MZ], 2) << " : " << String::number(cons.getMax()[Peak2D::MZ], 2) << endl
<< " intensity: " << String::number(cons.getMinInt(), 2) << " : " << String::number(cons.getMaxInt(), 2) << endl;
// file descriptions
const ConsensusMap::FileDescriptions& descs = cons.getFileDescriptions();
if (!descs.empty())
{
os << endl <<
"File descriptions:" << endl;
for (ConsensusMap::FileDescriptions::const_iterator it = descs.begin(); it != descs.end(); ++it)
{
os << " - " << it->second.filename << endl
<< " identifier: " << it->first << endl
<< " label : " << it->second.label << endl
<< " size : " << it->second.size << endl;
}
}
}
os << endl
<< "-- Summary Statistics --" << endl
<< endl;
}
if (in_type == FileTypes::FEATUREXML) //features
{
feat.sortByRT();
vector<double> slice_stats;
Size n = getIntOption_("n");
Size begin = 0;
Size end = 0;
os << "#slice\tRT_begin\tRT_end\tnumber_of_features\ttic\t"
<< "int_mean\tint_stddev\tint_min\tint_max\tint_median\tint_lowerq\tint_upperq\t"
<< "mz_mean\tmz_stddev\tmz_min\tmz_max\tmz_median\tmz_lowerq\tmz_upperq\t"
<< "width_mean\twidth_stddev\twidth_min\twidth_max\twidth_median\twidth_lowerq\twidth_upperq\t"
<< "qual_mean\tqual_stddev\tqual_min\tqual_max\tqual_median\tqual_lowerq\tqual_upperq\t"
<< "rt_qual_mean\trt_qual_stddev\trt_qual_min\trt_qual_max\trt_qual_median\trt_qual_lowerq\trt_qual_upperq\t"
<< "mz_qual_mean\tmz_qual_stddev\tmz_qual_min\tmz_qual_max\tmz_qual_median\tmz_qual_lowerq\tmz_qual_upperq"
<< endl;
double rt_begin = 0.0;
for (Size slice = 0; slice < n; ++slice)
{
// Determine slice boundaries.
double rt_end = feat.back().getRT() / (double)n * (slice + 1);
for (end = begin; end < feat.size() && feat[end].getRT() < rt_end; ++end) {}
// Compute statistics on all features in this slice.
slice_stats = sliceStatistics(feat, begin, end);
// Write the beginning and end of the slices to the output as well as the slice index.
os << slice << "\t" << rt_begin << "\t" << rt_end << "\t" << end - begin << "\t";
// Write the statistics as a line of an csv file
copy(slice_stats.begin(), slice_stats.end(), ostream_iterator<double>(os, "\t"));
os << endl;
begin = end;
rt_begin = rt_end;
}
}
else if (in_type == FileTypes::CONSENSUSXML) //consensus features
{
Size size = cons.size();
vector<double> intensities;
intensities.reserve(size);
vector<double> qualities(size);
qualities.reserve(size);
vector<double> widths(size);
widths.reserve(size);
vector<double> rt_delta_by_elems;
vector<double> rt_aad_by_elems;
vector<double> rt_aad_by_cfs;
rt_aad_by_cfs.reserve(size);
vector<double> mz_delta_by_elems;
vector<double> mz_aad_by_elems;
vector<double> mz_aad_by_cfs;
mz_aad_by_cfs.reserve(size);
vector<double> it_delta_by_elems;
vector<double> it_aad_by_elems;
vector<double> it_aad_by_cfs;
it_aad_by_cfs.reserve(size);
for (ConsensusMap::const_iterator cm_iter = cons.begin();
cm_iter != cons.end(); ++cm_iter)
{
double rt_aad = 0;
double mz_aad = 0;
double it_aad = 0;
intensities.push_back(cm_iter->getIntensity());
qualities.push_back(cm_iter->getQuality());
widths.push_back(cm_iter->getWidth());
for (ConsensusFeature::HandleSetType::const_iterator hs_iter = cm_iter->begin();
hs_iter != cm_iter->end(); ++hs_iter)
{
double rt_diff = hs_iter->getRT() - cm_iter->getRT();
rt_delta_by_elems.push_back(rt_diff);
if (rt_diff < 0)
{
rt_diff = -rt_diff;
}
rt_aad_by_elems.push_back(rt_diff);
rt_aad += rt_diff;
double mz_diff = hs_iter->getMZ() - cm_iter->getMZ();
mz_delta_by_elems.push_back(mz_diff);
if (mz_diff < 0)
{
mz_diff = -mz_diff;
}
mz_aad_by_elems.push_back(mz_diff);
mz_aad += mz_diff;
double it_ratio = hs_iter->getIntensity() / (cm_iter->getIntensity() ? cm_iter->getIntensity() : 1.);
it_delta_by_elems.push_back(it_ratio);
if (it_ratio < 1.)
{
it_ratio = 1. / it_ratio;
}
it_aad_by_elems.push_back(it_ratio);
it_aad += it_ratio;
}
if (!cm_iter->empty())
{
rt_aad /= cm_iter->size();
mz_aad /= cm_iter->size();
it_aad /= cm_iter->size();
} // otherwise rt_aad etc. are 0 anyway
rt_aad_by_cfs.push_back(rt_aad);
mz_aad_by_cfs.push_back(mz_aad);
it_aad_by_cfs.push_back(it_aad);
}
OpenMS::SomeStatistics some_statistics;
os.precision(writtenDigits(ConsensusFeature::IntensityType()));
os << "Intensities of consensus features:" << endl << some_statistics(intensities) << endl;
os.precision(writtenDigits(ConsensusFeature::QualityType()));
os << "Qualities of consensus features:" << endl << some_statistics(qualities) << endl;
os.precision(writtenDigits(ConsensusFeature::CoordinateType()));
os << "Retention time differences ( element-center, weight 1 per element):" << endl << some_statistics(rt_delta_by_elems) << endl;
os << "Absolute retention time differences ( |element-center|, weight 1 per element):" << endl << some_statistics(rt_aad_by_elems) << endl;
os << "Average absolute differences of retention time within consensus features ( |element-center|, weight 1 per consensus features):" << endl << some_statistics(rt_aad_by_cfs) << endl;
os.precision(writtenDigits(ConsensusFeature::CoordinateType()));
os << "Mass-to-charge differences ( element-center, weight 1 per element):" << endl << some_statistics(mz_delta_by_elems) << endl;
os << "Absolute differences of mass-to-charge ( |element-center|, weight 1 per element):" << endl << some_statistics(mz_aad_by_elems) << endl;
os << "Average absolute differences of mass-to-charge within consensus features ( |element-center|, weight 1 per consensus features):" << endl << some_statistics(mz_aad_by_cfs) << endl;
os.precision(writtenDigits(ConsensusFeature::IntensityType()));
os << "Intensity ratios ( element/center, weight 1 per element):" << endl << some_statistics(it_delta_by_elems) << endl;
os << "Relative intensity error ( max{(element/center),(center/element)}, weight 1 per element):" << endl << some_statistics(it_aad_by_elems) << endl;
os << "Average relative intensity error within consensus features ( max{(element/center),(center/element)}, weight 1 per consensus features):" << endl << some_statistics(it_aad_by_cfs) << endl;
}
return EXECUTION_OK;
}
