Пример #1
0
  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?
        if (fabs(it->getRT() - pit->rt) >= RT_tolerance)
        {
          continue;
        }

        // now excise the two ranges for the pair, complete isotope distributions of both, light and heavy
        PeakSpectrum light_spec, heavy_spec;
        light_spec.setRT(it->getRT());
        heavy_spec.setRT(it->getRT());
        for (PeakSpectrum::ConstIterator sit = it->begin(); sit != it->end(); ++sit)
        {
          double mz(sit->getMZ());
          if (mz - (pit->mz_light - precursor_mass_tolerance) > 0 &&
              (pit->mz_light + (double)max_isotope * Constants::NEUTRON_MASS_U / (double)pit->charge + precursor_mass_tolerance) - mz  > 0)
          {
            light_spec.push_back(*sit);
          }

          if (mz - (pit->mz_heavy - precursor_mass_tolerance) > 0 &&
              (pit->mz_heavy + (double)max_isotope * Constants::NEUTRON_MASS_U / (double)pit->charge + precursor_mass_tolerance) - mz  > 0)
          {
            heavy_spec.push_back(*sit);
          }
        }

        // expand light spectrum
        Peak1D p;
        p.setIntensity(0);

        if (light_spec.size() > 0)
        {
          double lower_border = light_spec.begin()->getMZ() - expansion_range;
          for (double pos = light_spec.begin()->getMZ(); pos > lower_border; pos -= min_spacing)
          {
            p.setMZ(pos);
            light_spec.insert(light_spec.begin(), p);
          }

          double upper_border = light_spec.begin()->getMZ() - expansion_range;
          for (double pos = light_spec.rbegin()->getMZ(); pos < upper_border; pos += min_spacing)
          {
            p.setMZ(pos);
            light_spec.push_back(p);
          }
        }

        if (heavy_spec.size() > 0)
        {
          // expand heavy spectrum
          double lower_border = heavy_spec.begin()->getMZ() - expansion_range;
          for (double pos = heavy_spec.begin()->getMZ(); pos > lower_border; pos -= min_spacing)
          {
            p.setMZ(pos);
            heavy_spec.insert(heavy_spec.begin(), p);
          }

          double upper_border = heavy_spec.begin()->getMZ() - expansion_range;
          for (double pos = heavy_spec.rbegin()->getMZ(); pos < upper_border; pos += min_spacing)
          {
            p.setMZ(pos);
            heavy_spec.push_back(p);
          }
        }

        // create experiments for feature finding
        PeakMap new_exp_light, new_exp_heavy;
        new_exp_light.addSpectrum(light_spec);
        new_exp_heavy.addSpectrum(heavy_spec);

        if (debug > 9)
        {
          MzMLFile().store(String(it->getRT()) + "_debugging_light.mzML", new_exp_light);
          MzMLFile().store(String(it->getRT()) + "_debugging_heavy.mzML", new_exp_heavy);
        }

        writeDebug_("Spectrum-id: " + it->getNativeID() + " @ " + String(it->getRT()) + "s", 1);

        new_exp_light.updateRanges();
        new_exp_heavy.updateRanges();

        FeatureMap feature_map_light, feature_map_heavy, seeds;
        if (light_spec.size() > 0)
        {
          ff.run("isotope_wavelet", new_exp_light, feature_map_light, ff_param, seeds);
        }
        writeDebug_("#light_features=" + String(feature_map_light.size()), 1);
        if (heavy_spec.size() > 0)
        {
          ff.run("isotope_wavelet", new_exp_heavy, feature_map_heavy, ff_param, seeds);
        }
        writeDebug_("#heavy_features=" + String(feature_map_heavy.size()), 1);

        // search if feature maps to m/z value of pair
        vector<MatchedFeature> light, heavy;
        for (FeatureMap::const_iterator fit = feature_map_light.begin(); fit != feature_map_light.end(); ++fit)
        {
          all_features.push_back(*fit);
          light.push_back(MatchedFeature(*fit, idx));
        }
        for (FeatureMap::const_iterator fit = feature_map_heavy.begin(); fit != feature_map_heavy.end(); ++fit)
        {
          all_features.push_back(*fit);
          heavy.push_back(MatchedFeature(*fit, idx));
        }

        if (!heavy.empty() && !light.empty())
        {
          writeDebug_("Finding best feature pair out of " + String(light.size()) + " light and " + String(heavy.size()) + " heavy matching features.", 1);
          // now find "good" matches, means the pair with the smallest m/z deviation
          Feature best_light, best_heavy;
          double best_deviation(numeric_limits<double>::max());
          Size best_idx(pairs.size());
          for (vector<MatchedFeature>::const_iterator fit1 = light.begin(); fit1 != light.end(); ++fit1)
          {
            for (vector<MatchedFeature>::const_iterator fit2 = heavy.begin(); fit2 != heavy.end(); ++fit2)
            {
              if (fit1->idx != fit2->idx || fit1->f.getCharge() != fit2->f.getCharge() ||
                  fabs(fit1->f.getMZ() - pairs[fit1->idx].mz_light) > precursor_mass_tolerance ||
                  fabs(fit2->f.getMZ() - pairs[fit2->idx].mz_heavy) > precursor_mass_tolerance)
              {
                continue;
              }
              double deviation(0);
              deviation = fabs((fit1->f.getMZ() - pairs[fit1->idx].mz_light) - (fit2->f.getMZ() - pairs[fit2->idx].mz_heavy));
              if (deviation < best_deviation && deviation < precursor_mass_tolerance)
              {
                best_light = fit1->f;
                best_heavy = fit2->f;
                best_idx = fit1->idx;
              }
            }
          }

          if (best_idx == pairs.size())
          {
            continue;
          }

          writeDebug_("Ratio: " + String(best_heavy.getIntensity() / best_light.getIntensity()), 1);
          ConsensusFeature SILAC_feature;
          SILAC_feature.setMZ((best_light.getMZ() + best_heavy.getMZ()) / 2.0);
          SILAC_feature.setRT((best_light.getRT() + best_heavy.getRT()) / 2.0);
          SILAC_feature.insert(0, best_light);
          SILAC_feature.insert(1, best_heavy);
          results_map.push_back(SILAC_feature);
          quantlets.push_back(SILACQuantitation(best_light.getIntensity(), best_heavy.getIntensity(), best_idx));
        }
      }
    }

    // now calculate the final quantitation values from the quantlets
    Map<Size, vector<SILACQuantitation> > idx_to_quantlet;
    for (vector<SILACQuantitation>::const_iterator it = quantlets.begin(); it != quantlets.end(); ++it)
    {
      idx_to_quantlet[it->idx].push_back(*it);
    }

    for (Map<Size, vector<SILACQuantitation> >::ConstIterator it1 = idx_to_quantlet.begin(); it1 != idx_to_quantlet.end(); ++it1)
    {
      SILAC_pair silac_pair = pairs[it1->first];

      // simply add up all intensities and calculate the final ratio
      double light_sum(0), heavy_sum(0);
      vector<double> light_ints, heavy_ints, ratios;
      for (vector<SILACQuantitation>::const_iterator it2 = it1->second.begin(); it2 != it1->second.end(); ++it2)
      {
        light_sum += it2->light_intensity;
        light_ints.push_back(it2->light_intensity);
        heavy_sum += it2->heavy_intensity;
        heavy_ints.push_back(it2->heavy_intensity);
        ratios.push_back(it2->heavy_intensity / it2->light_intensity * (it2->heavy_intensity + it2->light_intensity));
      }

      double absdev_ratios = Math::absdev(ratios.begin(), ratios.begin() + (ratios.size()) / (heavy_sum + light_sum));
      cout << "Ratio: " << silac_pair.mz_light << " <-> " << silac_pair.mz_heavy << " @ " << silac_pair.rt << " s, ratio(h/l) " << heavy_sum / light_sum << " +/- " << absdev_ratios << " (#scans for quantation: " << String(it1->second.size()) << " )" << endl;
    }


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

    if (feature_out != "")
    {
      FeatureXMLFile().store(feature_out, all_features);
    }
    writeDebug_("Writing output", 1);
    ConsensusXMLFile().store(out, results_map);

    return EXECUTION_OK;
  }
Пример #2
0
  void MassTraceDetection::run(const PeakMap& input_exp, std::vector<MassTrace>& found_masstraces)
  {
    // make sure the output vector is empty
    found_masstraces.clear();

    // gather all peaks that are potential chromatographic peak apices
    //   - use work_exp for actual work (remove peaks below noise threshold)
    //   - store potential apices in chrom_apices
    PeakMap work_exp;
    MapIdxSortedByInt chrom_apices;

    Size total_peak_count(0);
    std::vector<Size> spec_offsets;
    spec_offsets.push_back(0);

    Size spectra_count(0);

    // *********************************************************** //
    //  Step 1: Detecting potential chromatographic apices
    // *********************************************************** //
    for (PeakMap::ConstIterator it = input_exp.begin(); it != input_exp.end(); ++it)
    {
      // check if this is a MS1 survey scan
      if (it->getMSLevel() != 1) continue;

      std::vector<Size> indices_passing;
      for (Size peak_idx = 0; peak_idx < it->size(); ++peak_idx)
      {
        double tmp_peak_int((*it)[peak_idx].getIntensity());
        if (tmp_peak_int > noise_threshold_int_)
        {
          // Assume that noise_threshold_int_ contains the noise level of the
          // data and we want to be chrom_peak_snr times above the noise level
          // --> add this peak as possible chromatographic apex
          if (tmp_peak_int > chrom_peak_snr_ * noise_threshold_int_)
          {
            chrom_apices.insert(std::make_pair(tmp_peak_int, std::make_pair(spectra_count, indices_passing.size())));
          }
          indices_passing.push_back(peak_idx);
          ++total_peak_count;
        }
      }
      PeakMap::SpectrumType tmp_spec(*it);
      tmp_spec.select(indices_passing);
      work_exp.addSpectrum(tmp_spec);
      spec_offsets.push_back(spec_offsets.back() + tmp_spec.size());
      ++spectra_count;
    }

    if (spectra_count < 3)
    {
      throw Exception::InvalidValue(__FILE__, __LINE__, OPENMS_PRETTY_FUNCTION,
                                    "Input map consists of too few MS1 spectra (less than 3!). Aborting...", String(spectra_count));
    }

    // discard last spectrum's offset
    spec_offsets.pop_back();

    // *********************************************************************
    // Step 2: start extending mass traces beginning with the apex peak (go
    // through all peaks in order of decreasing intensity)
    // *********************************************************************
    run_(chrom_apices, total_peak_count, work_exp, spec_offsets, found_masstraces);

    return;
  } // end of MassTraceDetection::run