segment.cpp 18.3 KB
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/*
  This file is part of "Vidjil" <http://bioinfo.lifl.fr/vidjil>
  Copyright (C) 2011, 2012, 2013 by Bonsai bioinformatics at LIFL (UMR CNRS 8022, Université Lille) and Inria Lille
  Contributors: Mathieu Giraud <mathieu.giraud@lifl.fr>, Mikaël Salson <mikael.salson@lifl.fr>, Marc Duez

  "Vidjil" is free software: you can redistribute it and/or modify
  it under the terms of the GNU General Public License as published by
  the Free Software Foundation, either version 3 of the License, or
  (at your option) any later version.

  "Vidjil" is distributed in the hope that it will be useful,
  but WITHOUT ANY WARRANTY; without even the implied warranty of
  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  GNU General Public License for more details.

  You should have received a copy of the GNU General Public License
  along with "Vidjil". If not, see <http://www.gnu.org/licenses/>
*/
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#include <algorithm>    // std::sort
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#include <cassert>
#include "segment.h"
#include "tools.h"
#include "affectanalyser.h"
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#include <sstream>
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Segmenter::~Segmenter() {}
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Sequence Segmenter::getSequence() const {
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  Sequence s ;
  s.label_full = info ;
  s.label = label + " " + (reversed ? "-" : "+");
  s.sequence = revcomp(sequence, reversed);

  return s ;
}

string Segmenter::getJunction(int l) const {
  assert(isSegmented());

  int start = (getLeft() + getRight())/2 - l/2;
  
  if (start < 0 or start + l > (int)sequence.size())  // TODO: +l ou +l-1 ?
    return "" ;

  return getSequence().sequence.substr(start, l);
}

int Segmenter::getLeft() const {
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  return Vend;
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}
  
int Segmenter::getRight() const {
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  return Jstart;
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}

int Segmenter::getLeftD() const {
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  return Dstart;
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}
  
int Segmenter::getRightD() const {
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  return Dend;
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}

bool Segmenter::isReverse() const {
  return reversed;
}

bool Segmenter::isSegmented() const {
  return segmented;
}

bool Segmenter::isDSegmented() const {
  return dSegmented;
}

// Chevauchement

string Segmenter::removeChevauchement()
{
  assert(isSegmented());
  
  string chevauchement = "" ;

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  if (Vend >= Jstart)
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    {
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      int middle = (Vend + Jstart) / 2 ;
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      chevauchement = " !ov " + string_of_int (Vend - Jstart + 1);
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      Vend = middle ;
      Jstart = middle+1 ;
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    }

  return chevauchement ;
}

// Prettyprint


bool Segmenter::finishSegmentation() 
{
  assert(isSegmented());
  
  string seq = getSequence().sequence;
    
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  seg_V = seq.substr(0, Vend+1) ;
  seg_N = seq.substr(Vend+1, Jstart-Vend-1) ;  // Twice computed for FineSegmenter, but only once in KmerSegmenter !
  seg_J = seq.substr(Jstart) ;
  Dstart=0;
  Dend=0;
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  info = "VJ \t" + string_of_int(FIRST_POS) + " " + info + " " + string_of_int(seq.size() - 1 + FIRST_POS) ;
  info += "\t" + code ;

  info = (reversed ? "- " : "+ ") + info ;

  return true ;
}

bool Segmenter::finishSegmentationD() 
{
  string seq = getSequence().sequence;

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  seg_V = seq.substr(0, Vend+1) ; // From pos. 0 to Vend
  seg_J = seq.substr(Jstart) ;
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  seg_D  = seq.substr(Dstart, Dend-Dstart+1) ; // From Dstart to Dend
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  info = "VDJ \t0 " + string_of_int(Vend) +
		" " + string_of_int(Dstart) + 
		" " + string_of_int(Dend) +
		" " + string_of_int(Jstart) +
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		" " + string_of_int(seq.size()-1+FIRST_POS) ;
		
  info += "\t" + code ;
  
  info = (reversed ? "- " : "+ ") + info ;

  return true ;
}

ostream &operator<<(ostream &out, const Segmenter &s)
{
  out << ">" << s.label << " " ;
  out << (s.segmented ? "" : "! ") << s.info ;
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  out << " " << s.info_extra ;
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  out << endl ;

  if (s.segmented)
    {
      out << s.seg_V << endl ;
      out << s.seg_N << endl ;
      out << s.seg_J << endl ;
    }
  else
    {
      out << s.sequence << endl ;
    }

  return out ;
}


// KmerSegmenter (Cheap)

KmerSegmenter::KmerSegmenter(Sequence seq, IKmerStore<KmerAffect> *index, 
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			     int delta_min, int delta_max)
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{
  label = seq.label ;
  sequence = seq.sequence ;
  info = "" ;
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  info_extra = "seed";
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  segmented = false;
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  Dend=0;
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  int s = (size_t)index->getS() ;
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  int length = sequence.length() ;
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  if (length < (size_t) s) 
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    {
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      because = UNSEG_TOO_SHORT;
      kaa = NULL;
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      return ;
    }
 
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  kaa = new KmerAffectAnalyser<KmerAffect>(*index, sequence);
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  // Check strand consistency among the affectations.
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  int strand;
  int nb_strand[2] = {0,0};     // In cell 0 we'll put the number of negative
                                // strand, while in cell 1 we'll put the
                                // positives
  for (int i = 0; i < kaa->count(); i++) { 
    KmerAffect it = kaa->getAffectation(i);
    if (! it.isAmbiguous() && ! it.isUnknown()) {
      strand = affect_strand(it.affect);
      nb_strand[(strand + 1) / 2] ++; // (strand+1) / 2 → 0 if strand == -1; 1 if strand == 1
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    }
  }

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  // Test on which strand we are.
  if (nb_strand[0] == 0 && nb_strand[1] == 0) {
    strand = 0;                 // No info
  } else if (nb_strand[0] > RATIO_STRAND * nb_strand[1]) {
    strand = -1;
  } else if (nb_strand[1] > RATIO_STRAND * nb_strand[0]) {
    strand = 1;
  } else {
    // Ambiguous information: we have positive and negative strands
    // and there is not enough difference to put them aparat.
    strand = 2;
  }

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  computeSegmentation(strand, delta_min, delta_max, s);
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  if (segmented)
    {
      // Yes, it is segmented

      reversed = (strand == -1); 
      because = reversed ? SEG_MINUS : SEG_PLUS ;

      info = string_of_int(Vend + FIRST_POS) + " " + string_of_int(Jstart + FIRST_POS)  ;
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      // removeChevauchement is called once info was already computed: it is only to output info_extra
      info_extra += removeChevauchement();
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      finishSegmentation();
    } 
}
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KmerSegmenter::~KmerSegmenter() {
  if (kaa)
    delete kaa;
}

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void KmerSegmenter::computeSegmentation(int strand, int delta_min, int delta_max, int s) {
  // Try to segment, computing 'Vend' and 'Jstart', and 'segmented'
  // If not segmented, put the cause of unsegmentation in 'because'

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  segmented = true ;
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  because = 0 ; // Cause of unsegmentation
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  // Zero information
  if (strand == 0)
    {
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      because = UNSEG_TOO_FEW_ZERO ;
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    } 
  else if (strand == 2) // Ambiguous
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    {
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      because = UNSEG_STRAND_NOT_CONSISTENT ;
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    } 
  else if (strand == 1)
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    {
      // Strand +
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      Vend = kaa->firstMax(AFFECT_V, AFFECT_J);
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      if (Vend == -1) {
        if (kaa->count(AFFECT_V) == 0) 
          {
            because = UNSEG_TOO_FEW_V ;
          }
        else if (kaa->count(AFFECT_J) == 0)
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	{
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	  because = UNSEG_TOO_FEW_J ;
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	} else 
          because = UNSEG_TOO_FEW_ZERO; // Not really zero
      } else
        Jstart = kaa->lastMax(AFFECT_V, AFFECT_J);

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    } 
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  else if (strand == -1)
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    {
      // Strand -
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      Jstart = kaa->firstMax(AFFECT_J_BWD, AFFECT_V_BWD);
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      if (Jstart == -1) {
        if (kaa->count(AFFECT_V_BWD) == 0) 
          {
            because = UNSEG_TOO_FEW_V ;
          }
        else if (kaa->count(AFFECT_J_BWD) == 0)
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	{
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	  because = UNSEG_TOO_FEW_J ;
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	} else 
          because = UNSEG_TOO_FEW_ZERO; // Not really zero
      } else 
        Vend = kaa->lastMax(AFFECT_J_BWD, AFFECT_V_BWD);
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      Vend = sequence.size() - Vend - 1;
      Jstart = sequence.size() - Jstart - 1;
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    }
  
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  if (! because)
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    {
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      // Now we check the delta between Vend and right
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      if (Jstart - Vend < delta_min)
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	{
	  because = UNSEG_BAD_DELTA_MIN ;
	}
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      if (Jstart - Vend > delta_max)
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	{
	  because = UNSEG_BAD_DELTA_MAX ;
	}
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    } 
  if (because)
    segmented = false;
}
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KmerAffectAnalyser<KmerAffect> *KmerSegmenter::getKmerAffectAnalyser() const {
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  return kaa;
}
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int KmerSegmenter::getSegmentationStatus() const {
  return because;
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}

// FineSegmenter

void best_align(int overlap, string seq_left, string seq_right,
		string ref_left ,string ref_right, int *b_r, int *b_l, Cost segment_cost)
{
      int score_r[overlap+1];
      int score_l[overlap+1];
      
      //LEFT
      ref_left=string(ref_left.rbegin(), ref_left.rend());
      seq_left=string(seq_left.rbegin(), seq_left.rend()); 
      
      DynProg dp1 = DynProg(seq_left, ref_left,
			   DynProg::Local, segment_cost);
      score_l[0] = dp1.compute();
      dp1.backtrack();
      
      //RIGHT
      DynProg dp = DynProg(seq_right, ref_right,
			   DynProg::Local, segment_cost);
      score_r[0] = dp.compute();
      dp.backtrack();    
      
      for(int i=1; i<=overlap; i++){
	if(dp.best_i-i >0)
	score_r[i] = dp.S[dp.best_i-i][dp.best_j];
	else
	score_r[i] =0;
	if(dp1.best_i-i >0)
	score_l[i] = dp1.S[dp1.best_i-i][dp1.best_j];	
	else
	score_l[i] =0;
      }
      int score=-1000000;
      int best_r=0;
      int best_l=0;

      for (int i=0; i<=overlap; i++){
	for (int j=overlap-i; j<=overlap; j++){
	  if ( ((score_r[i]+score_l[j]) == score) && (i+j < best_r+best_l )){
	    best_r=i;
	    best_l=j;
	    score=(score_r[i]+score_l[j]) ;
	  }
	  if ( (score_r[i]+score_l[j]) > score){
	    best_r=i;
	    best_l=j;
	    score=(score_r[i]+score_l[j]) ;
	  }
	}
      }
      *b_r=best_r;
      *b_l=best_l;
}

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bool comp_pair (pair<int,int> i,pair<int,int> j)
{
  return ( i.first > j.first);
}

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int align_against_collection(string &read, Fasta &rep, bool reverse_both, bool local, int *tag, 
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			     int *del, int *del2, int *begin, int *length, vector<pair<int, int> > *score
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			    , Cost segment_cost)
{
  
  int best_score = MINUS_INF ;
  int best_r = MINUS_INF ;
  int best_best_i = (int) string::npos ;
  int best_best_j = (int) string::npos ;
  int best_first_i = (int) string::npos ;
  int best_first_j = (int) string::npos ;
  string best_label = "" ;
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  vector<pair<int, int> > score_r;
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  DynProg::DynProgMode dpMode = DynProg::LocalEndWithSomeDeletions;
  if (local==true) dpMode = DynProg::Local;
  
  for (int r = 0 ; r < rep.size() ; r++)
    {
      DynProg dp = DynProg(read, rep.sequence(r),
			   dpMode, // DynProg::SemiGlobalTrans, 
			   segment_cost, // DNA
			   reverse_both, reverse_both);
      int score = dp.compute();
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      if (local==true){ 
	dp.backtrack();
      }
      
      if (score > best_score)
	{
	  best_score = score ;
	  best_best_i = dp.best_i ;
	  best_best_j = dp.best_j ;
	  best_first_i = dp.first_i ;
	  best_first_j = dp.first_j ;
	  best_r = r ;
	  best_label = rep.label(r) ;
	}
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	score_r.push_back(make_pair(score, r));
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	// #define DEBUG_SEGMENT      

#ifdef DEBUG_SEGMENT	
	cout << rep.label(r) << " " << score << " " << dp.best_i << endl ;
#endif
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    }
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    sort(score_r.begin(),score_r.end(),comp_pair);
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  *del = reverse_both ? best_best_j : rep.sequence(best_r).size() - best_best_j - 1;
  *del2 = best_first_j;
  *begin = best_first_i;
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  *tag = best_r ; 
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  *length -= *del ;
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  *score=score_r;
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#ifdef DEBUG_SEGMENT	
  cout << "best: " << best_labels << " " << best_score ;
  cout << "del/del2/begin:" << (*del) << "/" << (*del2) << "/" << (*begin) << endl;
  cout << endl;
#endif
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  return best_best_i ;
}

string format_del(int deletions)
{
  return deletions ? *"(" + string_of_int(deletions) + " del)" : "" ;
}

FineSegmenter::FineSegmenter(Sequence seq, Fasta &rep_V, Fasta &rep_J, 
			     int delta_min, int delta_max, Cost segment_c)
{

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  info_extra = "" ;
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  label = seq.label ;
  sequence = seq.sequence ;
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  Dend=0;
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  segment_cost=segment_c;

  // TODO: factoriser tout cela, peut-etre en lancant deux segmenteurs, un +, un -, puis un qui chapote
  
  // Strand +
  
  int plus_score = 0 ;
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  int tag_plus_V, tag_plus_J;
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  int plus_length = 0 ;
  int del_plus_V, del_plus_J ;
  int del2=0;
  int beg=0;
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  vector<pair<int, int> > score_plus_V;
  vector<pair<int, int> > score_plus_J;
  
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  int plus_left = align_against_collection(sequence, rep_V, false, false, &tag_plus_V, &del_plus_V, &del2, &beg, 
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					   &plus_length, &score_plus_V
					   , segment_cost);
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  int plus_right = align_against_collection(sequence, rep_J, true, false, &tag_plus_J, &del_plus_J, &del2, &beg,
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					    &plus_length, &score_plus_J
					    , segment_cost);
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  plus_length += plus_right - plus_left ;

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  plus_score=score_plus_V[0].first + score_plus_J[0].first ;
  
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  // Strand -
  string rc = revcomp(sequence) ;
  int minus_score = 0 ;
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  int tag_minus_V, tag_minus_J;
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  int minus_length = 0 ;
  int del_minus_V, del_minus_J ;
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  vector<pair<int, int> > score_minus_V;
  vector<pair<int, int> > score_minus_J;
  
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  int minus_left = align_against_collection(rc, rep_V, false, false, &tag_minus_V, &del_minus_V, &del2, &beg,
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					    &minus_length, &score_minus_V
					    ,  segment_cost);
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  int minus_right = align_against_collection(rc, rep_J, true, false, &tag_minus_J, &del_minus_J, &del2, &beg,
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					     &minus_length, &score_minus_J
					     , segment_cost);
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  minus_length += minus_right - minus_left ;

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  minus_score=score_minus_V[0].first + score_minus_J[0].first ;
  
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  reversed = (minus_score > plus_score) ;

  if (!reversed)
    {
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      Vend = plus_left ;
      Jstart = plus_right ;
      best_V = tag_plus_V ;
      best_J = tag_plus_J ;
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      del_V = del_plus_V ;
      del_J = del_plus_J ;
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      score_V=score_plus_V;
      score_J=score_plus_J;
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    }
  else
    {
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      Vend = minus_left ;
      Jstart = minus_right ;
      best_V = tag_minus_V ;
      best_J = tag_minus_J ;
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      del_V = del_minus_V ;
      del_J = del_minus_J ;
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      score_V=score_minus_V;
      score_J=score_minus_J;
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    }

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  segmented = (Vend != (int) string::npos) && (Jstart != (int) string::npos) && 
    (Jstart - Vend >= delta_min) && (Jstart - Vend <= delta_max);
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  dSegmented=false;

  if (!segmented)
    {
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      info = " @" + string_of_int (Vend + FIRST_POS) + "  @" + string_of_int(Jstart + FIRST_POS) ;
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      return ;
    }
    
    //overlap VJ
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    if(Jstart-Vend <=0){
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      int b_r, b_l;
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      int overlap=Vend-Jstart+1;
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      string seq_left = sequence.substr(0, Vend+1);
      string seq_right = sequence.substr(Jstart);
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      best_align(overlap, seq_left, seq_right, 
		 rep_V.sequence(best_V), rep_J.sequence(best_J), &b_r,&b_l, segment_cost);
      // Trim V
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      Vend -= b_l;
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      del_V += b_l;

      // Trim J
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      Jstart += b_r;
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      del_J += b_r;
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        if (Jstart>=sequence.length())
	  Jstart=sequence.length()-1;
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    }

    // string chevauchement = removeChevauchement();
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    /// used only below, then recomputed in finishSegmentation() ;
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    seg_N = revcomp(sequence, reversed).substr(Vend+1, Jstart-Vend-1); 
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  code = rep_V.label(best_V) +
    " "+ string_of_int(del_V) + 
    "/" + seg_N + 
    // chevauchement +
    "/" + string_of_int(del_J) +
    " " + rep_J.label(best_J); 

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    stringstream code_s;
   code_s<< rep_V.label(best_V) <<
    " -" << string_of_int(del_V) << "/" 
    << seg_N.size()
    // chevauchement +
    << "/-" << string_of_int(del_J)
    <<" " << rep_J.label(best_J);
    code_short=code_s.str();
    
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  code_light = rep_V.label(best_V) +
    "/ " + rep_J.label(best_J); 

 
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  info = string_of_int(Vend + FIRST_POS) + " " + string_of_int(Jstart + FIRST_POS) ;
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  finishSegmentation();
}


void FineSegmenter::FineSegmentD(Fasta &rep_V, Fasta &rep_D, Fasta &rep_J){
  
  if (segmented){
    
    int end = (int) string::npos ;
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    int tag_D;
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    int length = 0 ;
    int begin = 0;
    int score;
    
    // Create a zone where to look for D, adding at most EXTEND_D_ZONE nucleotides at each side
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    int l = Vend - EXTEND_D_ZONE;
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    if (l<0) 
      l=0 ;

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    int r = Jstart + EXTEND_D_ZONE;
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    if (r > (int)getSequence().sequence.length()) 
      r = getSequence().sequence.length();
      
    string str = getSequence().sequence.substr(l, r-l);

    // Align
    end = align_against_collection(str, rep_D, false, true, &tag_D, &del_D_right, &del_D_left, &begin,
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				&length, &score_D, segment_cost);
    
    score=score_D[0].first;
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    best_D = tag_D;
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    Dstart = l + begin;
    Dend = l + end;
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    string seq = getSequence().sequence;
    
    if (length>0) dSegmented=true;
    
    //overlap VD
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    if(Dstart-Vend <=0){
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      int b_r, b_l;
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      int overlap=Vend-Dstart+1;
      string seq_left = seq.substr(0, Vend+1);
      string seq_right = seq.substr(Dstart, Dend-Dstart+1);
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      best_align(overlap, seq_left, seq_right, 
		 rep_V.sequence(best_V), rep_D.sequence(best_D), &b_r,&b_l, segment_cost);

      // Trim V
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      Vend -= b_l;
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      del_V += b_l;

      // Trim D
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      Dstart += b_r;
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    }
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    seg_N1 = seq.substr(Vend+1, Dstart-Vend-1) ; // From Vend+1 to Dstart-1
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    //overlap DJ
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    if(Jstart-Dend <=0){
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      int b_r, b_l;
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      int overlap=Dend-Jstart+1;
      string seq_right = seq.substr(Dstart, Dend-Dstart+1);
      string seq_left = seq.substr(Jstart, seq.length()-Jstart);
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      best_align(overlap, seq_left, seq_right, 
		 rep_D.sequence(best_D), rep_J.sequence(best_J), &b_r,&b_l, segment_cost);

      // Trim D
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      Dend -= b_l;
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      // Trim J
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      Jstart += b_r;
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      del_J += b_r;

    }
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    seg_N2 = seq.substr(Dend+1, Jstart-Dend-1) ; // From Dend+1 to right-1
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    code = rep_V.label(best_V) +
    " "+ string_of_int(del_V) + 
    "/" + seg_N1 + 
    
    "/" + string_of_int(del_D_left) +
    " " + rep_D.label(best_D) +
    " " + string_of_int(del_D_right) +
    
    "/" + seg_N2 +
    "/" + string_of_int(del_J) +
    " " + rep_J.label(best_J); 

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    stringstream code_s;
    code_s << rep_V.label(best_V) 
    << " -" << string_of_int(del_V) << "/" 
    << seg_N1.size()
    
    << "/-" << string_of_int(del_D_left) 
    << " " << rep_D.label(best_D) 
    << " -" << string_of_int(del_D_right) << "/"
    
    << seg_N2.size()
    << "/-" << string_of_int(del_J) 
    << " " << rep_J.label(best_J);
    code_short=code_s.str();
    
    
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    code_light = rep_V.label(best_V) +
    "/ " + rep_D.label(best_D) +
    "/ " + rep_J.label(best_J); 
    
    finishSegmentationD();
  }
}
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JsonList FineSegmenter::toJsonList(Fasta &rep_V, Fasta &rep_D, Fasta &rep_J){
  JsonList result;
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  result.add("sequence", revcomp(sequence, reversed) );
  if (isSegmented()) {
    result.add("name", code_short);
    result.add("Jstart", Jstart);
    result.add("Nlength", (del_V+del_J+seg_N.size()) );
    result.add("Vend", Vend);

    JsonArray jsonV;
    JsonArray jsonJ;

    // TODO: what is going on if some list is smaller than JSON_REMEMBER_BEST ?
    
    for (int i=0; i<JSON_REMEMBER_BEST; i++) jsonV.add( rep_V.label(score_V[i].second) ) ;
    result.add("V", jsonV);
    
    
    if (score_D.size()>0){
      result.add("Dstart", Dstart);
      result.add("Dend", Dend);      
      JsonArray jsonD;

      for (int i=0; i<JSON_REMEMBER_BEST; i++) jsonD.add( rep_D.label(score_D[i].second) ) ;
      result.add("D", jsonD);
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    }
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    for (int i=0; i<JSON_REMEMBER_BEST; i++) jsonJ.add( rep_J.label(score_J[i].second) ) ;
    result.add("J", jsonJ);
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  }
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  return result;
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}