SpectrumAlignment.h

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// --------------------------------------------------------------------------
//                   OpenMS -- Open-Source Mass Spectrometry
// --------------------------------------------------------------------------
// Copyright The OpenMS Team -- Eberhard Karls University Tuebingen,
// ETH Zurich, and Freie Universitaet Berlin 2002-2021.
//
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//    may be used to endorse or promote products derived from this software
//    without specific prior written permission.
// For a full list of authors, refer to the file AUTHORS.
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// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// --------------------------------------------------------------------------
// $Maintainer: Timo Sachsenberg $
// $Authors: Andreas Bertsch $
// --------------------------------------------------------------------------
//
#pragma once
 
#include <OpenMS/DATASTRUCTURES/DefaultParamHandler.h>
#include <OpenMS/DATASTRUCTURES/MatchedIterator.h>
 
#include <vector>
#include <map>
#include <utility>
#include <algorithm>
 
#define ALIGNMENT_DEBUG
#undef  ALIGNMENT_DEBUG
 
namespace OpenMS
{
 
  class OPENMS_DLLAPI SpectrumAlignment :
    public DefaultParamHandler
  {
public:
 
    // @name Constructors and Destructors
    // @{
    SpectrumAlignment();
 
    SpectrumAlignment(const SpectrumAlignment & source);
 
    ~SpectrumAlignment() override;
 
    SpectrumAlignment & operator=(const SpectrumAlignment & source);
    // @}
 
    template <typename SpectrumType1, typename SpectrumType2>
    void getSpectrumAlignment(std::vector<std::pair<Size, Size> >& alignment, const SpectrumType1& s1, const SpectrumType2& s2) const
    {
      if (!s1.isSorted() || !s2.isSorted())
      {
        throw Exception::IllegalArgument(__FILE__, __LINE__, OPENMS_PRETTY_FUNCTION, "Input to SpectrumAlignment is not sorted!");
      }
 
      // clear result
      alignment.clear();
      double tolerance = (double)param_.getValue("tolerance");
 
      if (!param_.getValue("is_relative_tolerance").toBool() )
      {
        std::map<Size, std::map<Size, std::pair<Size, Size> > > traceback;
        std::map<Size, std::map<Size, double> > matrix;
 
        // init the matrix with "gap costs" tolerance
        matrix[0][0] = 0;
        for (Size i = 1; i <= s1.size(); ++i)
        {
          matrix[i][0] = i * tolerance;
          traceback[i][0]  = std::make_pair(i - 1, 0);
        }
        for (Size j = 1; j <= s2.size(); ++j)
        {
          matrix[0][j] = j * tolerance;
          traceback[0][j] = std::make_pair(0, j - 1);
        }
 
        // fill in the matrix
        Size left_ptr(1);
        Size last_i(0), last_j(0);
 
        //Size off_band_counter(0);
        for (Size i = 1; i <= s1.size(); ++i)
        {
          double pos1(s1[i - 1].getMZ());
 
          for (Size j = left_ptr; j <= s2.size(); ++j)
          {
            bool off_band(false);
            // find min of the three possible directions
            double pos2(s2[j - 1].getMZ());
            double diff_align = fabs(pos1 - pos2);
 
            // running off the right border of the band?
            if (pos2 > pos1 && diff_align > tolerance)
            {
              if (i < s1.size() && j < s2.size() && s1[i].getMZ() < pos2)
              {
                off_band = true;
              }
            }
 
            // can we tighten the left border of the band?
            if (pos1 > pos2 && diff_align > tolerance && j > left_ptr + 1)
            {
              ++left_ptr;
            }
 
            double score_align = diff_align;
 
            if (matrix.find(i - 1) != matrix.end() && matrix[i - 1].find(j - 1) != matrix[i - 1].end())
            {
              score_align += matrix[i - 1][j - 1];
            }
            else
            {
              score_align += (i - 1 + j - 1) * tolerance;
            }
 
            double score_up = tolerance;
            if (matrix.find(i) != matrix.end() && matrix[i].find(j - 1) != matrix[i].end())
            {
              score_up += matrix[i][j - 1];
            }
            else
            {
              score_up += (i + j - 1) * tolerance;
            }
 
            double score_left = tolerance;
            if (matrix.find(i - 1) != matrix.end() && matrix[i - 1].find(j) != matrix[i - 1].end())
            {
              score_left += matrix[i - 1][j];
            }
            else
            {
              score_left += (i - 1 + j) * tolerance;
            }
 
    #ifdef ALIGNMENT_DEBUG
          cerr << i << " " << j << " " << left_ptr << " " << pos1 << " " << pos2 << " " << score_align << " " << score_left << " " << score_up << endl;
    #endif
 
          if (score_align <= score_up && score_align <= score_left && diff_align <= tolerance)
          {
             matrix[i][j] = score_align;
             traceback[i][j] = std::make_pair(i - 1, j - 1);
             last_i = i;
             last_j = j;
          }
          else
          {
            if (score_up <= score_left)
            {
              matrix[i][j] = score_up;
              traceback[i][j] = std::make_pair(i, j - 1);
            }
            else
            {
              matrix[i][j] = score_left;
              traceback[i][j] = std::make_pair(i - 1, j);
            }
          }
 
          if (off_band)
          {
            break;
          }
        }
      }
 
          //last_i = s1.size() + 1;
          //last_j = s2.size() + 1;
 
          //cerr << last_i << " " << last_j << endl;
 
    #ifdef ALIGNMENT_DEBUG
    #if 0
          cerr << "TheMatrix: " << endl << " \t  \t";
          for (Size j = 0; j != s2.size(); ++j)
          {
        cerr << s2[j].getPosition()[0] << " \t";
          }
          cerr << endl;
          for (Size i = 0; i <= s1.size(); ++i)
          {
        if (i != 0)
        {
          cerr << s1[i - 1].getPosition()[0] << " \t";
        }
        else
        {
          cerr << " \t";
        }
        for (Size j = 0; j <= s2.size(); ++j)
        {
          if (matrix.has(i) && matrix[i].has(j))
          {
            if (traceback[i][j].first == i - 1 && traceback[i][j].second == j - 1)
            {
              cerr << "\\";
            }
            else
            {
              if (traceback[i][j].first == i - 1 && traceback[i][j].second == j)
              {
            cerr << "|";
              }
              else
              {
            cerr << "-";
              }
            }
 
            cerr << matrix[i][j] << "  \t";
          }
          else
          {
            cerr << "-1  \t";
          }
        }
        cerr << endl;
          }
    #endif
    #endif
 
      // do traceback
      Size i = last_i;
      Size j = last_j;
 
      while (i >= 1 && j >= 1)
      {
        if (traceback[i][j].first == i - 1 && traceback[i][j].second == j - 1)
        {
          alignment.push_back(std::make_pair(i - 1, j - 1));
        }
        Size new_i = traceback[i][j].first;
        Size new_j = traceback[i][j].second;
 
        i = new_i;
        j = new_j;
      }
 
      std::reverse(alignment.begin(), alignment.end());
 
      #ifdef ALIGNMENT_DEBUG
      #if 0
          // print alignment
          cerr << "Alignment (size=" << alignment.size() << "): " << endl;
 
          Size i_s1(0), i_s2(0);
          for (vector<pair<Size, Size> >::const_reverse_iterator it = alignment.rbegin(); it != alignment.rend(); ++it, ++i_s1, ++i_s2)
          {
        while (i_s1 < it->first - 1)
        {
          cerr << i_s1 << " " << s1[i_s1].getPosition()[0] << " " << s1[i_s1].getIntensity() << endl;
          i_s1++;
        }
        while (i_s2 < it->second - 1)
        {
          cerr << " \t " <<  i_s2 << " " << s2[i_s2].getPosition()[0] << " " << s2[i_s2].getIntensity() << endl;
          i_s2++;
        }
        cerr << "(" << s1[it->first - 1].getPosition()[0] << " <-> " << s2[it->second - 1].getPosition()[0] << ") ("
             << it->first << "|" << it->second << ") (" << s1[it->first - 1].getIntensity() << "|" << s2[it->second - 1].getIntensity() << ")" << endl;
          }
      #endif
      #endif
      }
      else  // relative alignment (ppm tolerance)
      {        
        // find  closest match of s1[i] in s2 for all i
        MatchedIterator<SpectrumType1, PpmTrait> it(s1, s2, tolerance);
        for (; it != it.end(); ++it) alignment.emplace_back(it.refIdx(), it.tgtIdx());
      }
    }
  };
}