C++ PeakMap::sortSpectra方法代码示例

  ExitCodes main_(int, const char**)
  {
    //-------------------------------------------------------------
    // parsing parameters
    //-------------------------------------------------------------
    String in(getStringOption_("in"));
    String out(getStringOption_("out"));
    String pair_in(getStringOption_("pair_in"));
    String feature_out(getStringOption_("feature_out"));
    double precursor_mass_tolerance(getDoubleOption_("precursor_mass_tolerance"));
    double RT_tolerance(getDoubleOption_("RT_tolerance"));
    double expansion_range(getDoubleOption_("expansion_range"));
    Size max_isotope(getIntOption_("max_isotope"));
    Int debug(getIntOption_("debug"));

    //-------------------------------------------------------------
    // reading input
    //-------------------------------------------------------------

    PeakMap exp;
    MzMLFile().load(in, exp);
    exp.sortSpectra();
    exp.updateRanges();

    // read pair file
    ifstream is(pair_in.c_str());
    String line;
    vector<SILAC_pair> pairs;
    while (getline(is, line))
    {
      line.trim();
      if (line.empty() || line[0] == '#')
      {
        continue;
      }
      vector<String> split;
      line.split(' ', split);
      if (split.size() != 4)
      {
        cerr << "missformated line ('" << line << "') should be (space separated) 'm/z-light m/z-heavy charge rt'" << endl;
      }
      SILAC_pair p;
      p.mz_light = split[0].toDouble();
      p.mz_heavy = split[1].toDouble();
      p.charge = split[2].toInt();
      p.rt = split[3].toDouble();
      pairs.push_back(p);
    }
    is.close();

    //-------------------------------------------------------------
    // calculations
    //-------------------------------------------------------------


    ConsensusMap results_map;
    results_map.getFileDescriptions()[0].label = "light";
    results_map.getFileDescriptions()[0].filename = in;
    results_map.getFileDescriptions()[1].label = "heavy";
    results_map.getFileDescriptions()[1].filename = in;

    FeatureFinderAlgorithmIsotopeWavelet iso_ff;
    Param ff_param(iso_ff.getParameters());
    ff_param.setValue("max_charge", 3);
    ff_param.setValue("intensity_threshold", -1.0);
    iso_ff.setParameters(ff_param);

    FeatureFinder ff;
    ff.setLogType(ProgressLogger::NONE);

    vector<SILACQuantitation> quantlets;
    FeatureMap all_features;
    for (PeakMap::ConstIterator it = exp.begin(); it != exp.end(); ++it)
    {
      if (it->size() == 0 || it->getMSLevel() != 1 || !it->getInstrumentSettings().getZoomScan())
      {
        continue;
      }

      PeakSpectrum new_spec = *it;

      // get spacing from data
      double min_spacing(numeric_limits<double>::max());
      double last_mz(0);
      for (PeakSpectrum::ConstIterator pit = new_spec.begin(); pit != new_spec.end(); ++pit)
      {
        if (pit->getMZ() - last_mz < min_spacing)
        {
          min_spacing = pit->getMZ() - last_mz;
        }
        last_mz = pit->getMZ();
      }
      writeDebug_("Min-spacing=" + String(min_spacing), 1);

      // split the spectrum into two subspectra, by using different hypothesis of
      // the SILAC pairs
      Size idx = 0;
      for (vector<SILAC_pair>::const_iterator pit = pairs.begin(); pit != pairs.end(); ++pit, ++idx)
      {
        // in RT window?
//.........这里部分代码省略.........

  void FeatureFinder::run(const String& algorithm_name, PeakMap& input_map, FeatureMap& features, const Param& param, const FeatureMap& seeds)
  {
    // Nothing to do if there is no data
    if ((algorithm_name != "mrm" && input_map.empty()) || (algorithm_name == "mrm" && input_map.getChromatograms().empty()))
    {
      features.clear(true);
      return;
    }

    // check input
    {
      // We need updated ranges => check number of peaks
      if (algorithm_name != "mrm" && input_map.getSize() == 0)
      {
        throw Exception::IllegalArgument(__FILE__, __LINE__, OPENMS_PRETTY_FUNCTION, "FeatureFinder needs updated ranges on input map. Aborting.");
      }

      // We need MS1 data only => check levels
      if (algorithm_name != "mrm" && (input_map.getMSLevels().size() != 1 || input_map.getMSLevels()[0] != 1))
      {
        throw Exception::IllegalArgument(__FILE__, __LINE__, OPENMS_PRETTY_FUNCTION, "FeatureFinder can only operate on MS level 1 data. Please do not use MS/MS data. Aborting.");
      }

      //Check if the peaks are sorted according to m/z
      if (!input_map.isSorted(true))
      {
        LOG_WARN << "Input map is not sorted by RT and m/z! This is done now, before applying the algorithm!" << std::endl;
        input_map.sortSpectra(true);
        input_map.sortChromatograms(true);
      }
      for (Size s = 0; s < input_map.size(); ++s)
      {
        if (input_map[s].empty())
          continue;
        if (input_map[s][0].getMZ() < 0)
        {
          throw Exception::IllegalArgument(__FILE__, __LINE__, OPENMS_PRETTY_FUNCTION, "FeatureFinder can only operate on spectra that contain peaks with positive m/z values. Filter the data accordingly beforehand! Aborting.");
        }
      }
    }

    // initialize
    if (algorithm_name != "mrm" && algorithm_name != "centroided")
    {
      // Resize peak flag vector
      flags_.resize(input_map.size());
      for (Size i = 0; i < input_map.size(); ++i)
      {
        flags_[i].assign(input_map[i].size(), UNUSED);
      }
    }

    // do the work
    if (algorithm_name != "none")
    {
      FeatureFinderAlgorithm* algorithm = Factory<FeatureFinderAlgorithm>::create(algorithm_name);
      algorithm->setParameters(param);
      algorithm->setData(input_map, features, *this);
      algorithm->setSeeds(seeds);
      algorithm->run();
      delete(algorithm);
    }

    if (algorithm_name != "mrm") // mrm  works on chromatograms; the next section is only for conventional data
    {
      //report RT apex spectrum index and native ID for each feature
      for (Size i = 0; i < features.size(); ++i)
      {
        //index
        Size spectrum_index = input_map.RTBegin(features[i].getRT()) - input_map.begin();
        features[i].setMetaValue("spectrum_index", spectrum_index);
        //native id
        if (spectrum_index < input_map.size())
        {
          String native_id = input_map[spectrum_index].getNativeID();
          features[i].setMetaValue("spectrum_native_id", native_id);
        }
        else
        {
          /// @todo that happens sometimes using IsotopeWaveletFeatureFinder (Rene, Marc, Andreas, Clemens)
          std::cerr << "FeatureFinderAlgorithm_impl, line=" << __LINE__ << "; FixMe this cannot be, but happens" << std::endl;
        }
      }
    }
  }

  ExitCodes main_(int, const char**)
  {
    // parsing parameters
    String in(getStringOption_("in"));
    String feature_in(getStringOption_("feature_in"));
    String out(getStringOption_("out"));
    double precursor_mass_tolerance(getDoubleOption_("precursor_mass_tolerance"));

    // reading input
    FileHandler fh;
    FileTypes::Type in_type = fh.getType(in);

    PeakMap exp;
    fh.loadExperiment(in, exp, in_type, log_type_, false, false);
    exp.sortSpectra();

    FeatureMap feature_map;
    if (feature_in != "")
    {
      FeatureXMLFile().load(feature_in, feature_map);
    }

    // calculations
    FeatureFinderAlgorithmIsotopeWavelet iso_ff;
    Param ff_param(iso_ff.getParameters());
    ff_param.setValue("max_charge", getIntOption_("max_charge"));
    ff_param.setValue("intensity_threshold", getDoubleOption_("intensity_threshold"));
    iso_ff.setParameters(ff_param);

    FeatureFinder ff;
    ff.setLogType(ProgressLogger::NONE);

    PeakMap exp2 = exp;
    exp2.clear(false);
    for (PeakMap::ConstIterator it = exp.begin(); it != exp.end(); ++it)
    {
      if (it->size() != 0)
      {
        exp2.addSpectrum(*it);
      }
    }

    exp = exp2;
    exp.updateRanges();

    // TODO check MS2 and MS1 counts
    ProgressLogger progresslogger;
    progresslogger.setLogType(log_type_);
    progresslogger.startProgress(0, exp.size(), "Correcting precursor masses");
    for (PeakMap::Iterator it = exp.begin(); it != exp.end(); ++it)
    {
      progresslogger.setProgress(exp.end() - it);
      if (it->getMSLevel() != 2)
      {
        continue;
      }
      // find first MS1 scan of the MS/MS scan
      PeakMap::Iterator ms1_it = it;
      while (ms1_it != exp.begin() && ms1_it->getMSLevel() != 1)
      {
        --ms1_it;
      }
      if (ms1_it == exp.begin() && ms1_it->getMSLevel() != 1)
      {
        writeLog_("Did not find a MS1 scan to the MS/MS scan at RT=" + String(it->getRT()));
        continue;
      }
      if (ms1_it->size() == 0)
      {
        writeDebug_("No peaks in scan at RT=" + String(ms1_it->getRT()) + String(", skipping"), 1);
        continue;
      }

      PeakMap::Iterator ms2_it = ms1_it;
      ++ms2_it;

      while (ms2_it != exp.end() && ms2_it->getMSLevel() == 2)
      {
        // first: error checks
        if (ms2_it->getPrecursors().empty())
        {
          writeDebug_("Warning: found no precursors of spectrum RT=" + String(ms2_it->getRT()) + ", skipping it.", 1);
          ++ms2_it;
          continue;
        }
        else if (ms2_it->getPrecursors().size() > 1)
        {
          writeLog_("Warning: found more than one precursor of spectrum RT=" + String(ms2_it->getRT()) + ", using first one.");
        }

        Precursor prec = *ms2_it->getPrecursors().begin();
        double prec_pos = prec.getMZ();

        PeakMap new_exp;
        // now excise small region from the MS1 spec for the feature finder (isotope pattern must be covered...)
        PeakSpectrum zoom_spec;
        for (PeakSpectrum::ConstIterator pit = ms1_it->begin(); pit != ms1_it->end(); ++pit)
        {
          if (pit->getMZ() > prec_pos - 3 && pit->getMZ() < prec_pos + 3)
          {
//.........这里部分代码省略.........

  ExitCodes main_(int, const char **)
  {
    //-------------------------------------------------------------
    // parsing parameters
    //-------------------------------------------------------------
    String in(getStringOption_("in"));
    String out(getStringOption_("out"));
    Size num_spots_per_row(getIntOption_("num_spots_per_row"));
    double RT_distance(getDoubleOption_("RT_distance"));

    //-------------------------------------------------------------
    // reading input
    //-------------------------------------------------------------

    PeakMap exp;
    MzMLFile f;
    f.setLogType(log_type_);
    f.load(in, exp);

    //-------------------------------------------------------------
    // calculations
    //-------------------------------------------------------------

    ProgressLogger pl;
    pl.setLogType(log_type_);
    pl.startProgress(0, exp.size(), "Assigning pseudo RTs.");
    Size num_ms1(0), num_ms1_base(0), row_counter(0);
    bool row_to_reverse(false);
    double actual_RT(0);
    for (Size i = 0; i != exp.size(); ++i)
    {
      pl.setProgress(i);
      if (row_to_reverse)
      {
        actual_RT = (double)(num_ms1_base + (num_spots_per_row - row_counter)) * RT_distance;
        writeDebug_("RT=" + String(actual_RT) + " (modified, row_counter=" + String(row_counter) + ")", 1);
      }
      else
      {
        actual_RT = (double)num_ms1 * RT_distance;
        writeDebug_("RT=" + String(actual_RT), 1);
      }

      exp[i].setRT(actual_RT);

      if (exp[i].getMSLevel() == 1)
      {
        if (++row_counter >= num_spots_per_row)
        {
          row_counter = 0;
          if (row_to_reverse)
          {
            row_to_reverse = false;
          }
          else
          {
            row_to_reverse = true;
          }
        }
        ++num_ms1;
        if (!row_to_reverse)
        {
          num_ms1_base = num_ms1;
        }
      }
    }
    pl.endProgress();

    // sort the spectra according to their new RT
    exp.sortSpectra();

    //-------------------------------------------------------------
    // writing output
    //-------------------------------------------------------------


    f.store(out, exp);

    return EXECUTION_OK;
  }