Mise à jour terminée. Pour connaître les apports de la version 13.8.4 par rapport à notre ancienne version vous pouvez lire les "Release Notes" suivantes :
https://about.gitlab.com/releases/2021/02/11/security-release-gitlab-13-8-4-released/
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segment.h 6.64 KB
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#ifndef SEGMENT_H
#define SEGMENT_H

#include <string>
#include <iostream>
#include "fasta.h"
#include "dynprog.h"
#include "tools.h"
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#include "germline.h"
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#include "kmerstore.h"
#include "kmeraffect.h"
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#include "affectanalyser.h"
#include "json.h"
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#define EXTEND_D_ZONE 5
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#define MIN_D_LENGTH 5          /* If a D-REGION is smaller than this threshold, it is not output */

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#define RATIO_STRAND 5          /* The ratio between the affectations in one
                                   strand and the other, to safely attribute a
                                   segment to a given strand */
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#define DETECT_THRESHOLD 5      /* If the number of both V and J affectations
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                                   is above this threshold, then the sequence
                                   will be labeled as 'detected', and, if it
                                   not segmented, the remaining germlines will
                                   not be tested */
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#define JSON_REMEMBER_BEST  4   /* The number of V/D/J predictions to keep  */

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#define NO_LIMIT_VALUE  -1

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#define THRESHOLD_NB_EXPECTED 1.0 /* Threshold of the accepted expected value for number of found k-mers */
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using namespace std;

enum SEGMENTED { DONT_KNOW, SEG_PLUS, SEG_MINUS, UNSEG_TOO_SHORT, UNSEG_STRAND_NOT_CONSISTENT, 
		 UNSEG_TOO_FEW_ZERO,  UNSEG_TOO_FEW_V, UNSEG_TOO_FEW_J, 
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		 UNSEG_BAD_DELTA_MIN, UNSEG_BAD_DELTA_MAX, UNSEG_AMBIGUOUS, UNSEG_NOISY,
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		 TOTAL_SEG_AND_WINDOW, 
		 TOTAL_SEG_BUT_TOO_SHORT_FOR_THE_WINDOW,
		 STATS_SIZE } ;
const char* const segmented_mesg[] = { "?", "SEG_+", "SEG_-", "UNSEG too short", "UNSEG strand",  
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				       "UNSEG too few (0)", "UNSEG too few V", "UNSEG too few J",
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				       "UNSEG < delta_min", "UNSEG > delta_max", "UNSEG ambiguous",
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                                       "UNSEG noisy",
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                                       "= SEG, with window",
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                                       "= SEG, no window",
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                                      } ;
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class Segmenter {
protected:
  string label;
  string sequence;
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  int Vend, Jstart;
  int Dstart, Dend;
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  int CDR3start, CDR3end;
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  bool reversed, segmented, dSegmented;
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  int because;
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  string removeChevauchement();
  bool finishSegmentation();
  bool finishSegmentationD();

 public:
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  Germline *segmented_germline;
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  string code;
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  string code_short;
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  string code_light;
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  string info;        // .vdj.fa header, fixed fields
  string info_extra;  // .vdj.fa header, other information, at the end of the header
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  int best_V, best_J ;
  int del_V, del_D_left, del_D_right, del_J ;
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  string seg_V, seg_N, seg_J, system;
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  int best_D;
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  double evalue;
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  double evalue_left;
  double evalue_right;
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  string seg_N1, seg_D, seg_N2;
  Cost segment_cost;

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  virtual ~Segmenter();
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  /* Queries */
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  Sequence getSequence() const ;

  /**
   * @param l: length around the junction
   * @return the string centered on the junction (ie. at position
   *         (getLeft() + getRight())/2).
   *         The string has length l unless the original string 
   *         is not long enough.
   *         The junction is revcomp-ed if the original string comes from reverse
   *         strand.
   */
  string getJunction(int l) const;

  /**
   * @return the left position (on forward strand) of the segmentation.
   */
  int getLeft() const;
  
  /**
   * @return the right position (on forward strand) of the segmentation
   */
  int getRight() const;
  
  /**
   * @return the left position (on forward strand) of the D segmentation.
   */
  int getLeftD() const;
  
  /**
   * @return the right position (on forward strand) of the D segmentation
   */
  int getRightD() const;

  /**
   * @return true iff the string comes from reverse strand
   */
  bool isReverse() const;

  /**
   * @return true iff the sequence has been successfully segmented
   */
  bool isSegmented() const;
  
  /**
   * @return true if a D gene was found in the N region
   */
  bool isDSegmented() const;

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  /**
   * @return the status of the segmentation. Tells if the Sequence has been segmented
   *         of if it has not, what the reason is.
   * @assert getSegmentationStatus() == SEG_PLUS || getSegmentationStatus() == SEG_MINUS
   *         <==> isSegmented()
   */
  int getSegmentationStatus() const;

  string getInfoLine() const;
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  /**
   * @post status == SEG_PLUS || status == SEG_MINUS <==> isSegmented()
   */
  void setSegmentationStatus(int status);

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  friend ostream &operator<<(ostream &out, const Segmenter &s);
};



ostream &operator<<(ostream &out, const Segmenter &s);



class KmerSegmenter : public Segmenter
{
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 private:
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  int detected;
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  KmerAffectAnalyser *kaa;
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 protected:
  string affects;

 public:
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  bool isDetected() const;
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  int score;
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  KmerSegmenter();
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  /**
   * Build a segmenter based on KmerSegmentation
   * @param seq: An object read from a FASTA/FASTQ file
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   * @param germline: the germline
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   */
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  KmerSegmenter(Sequence seq, Germline *germline);
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  KmerSegmenter(const KmerSegmenter &seg);

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  ~KmerSegmenter();

  /**
   * @return the KmerAffectAnalyser of the current sequence.
   */
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  KmerAffectAnalyser *getKmerAffectAnalyser() const;
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  void toJsonList(JsonList *seg);

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 private:
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  void computeSegmentation(int strand, KmerAffect left, KmerAffect right);
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};

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class KmerMultiSegmenter
{
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 private:
  double threshold_nb_expected;
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 public:
  /**
   * @param seq: An object read from a FASTA/FASTQ file
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   * @param multigermline: the multigerm
   * @param threshold: threshold of randomly expected segmentation
   */
  KmerMultiSegmenter(Sequence seq, MultiGermline *multigermline, ostream *out_unsegmented,
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                     double threshold = THRESHOLD_NB_EXPECTED, int nb_reads_for_evalue = 1);
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  /**
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   * @return expected number of Segmenter that would have yield the maximum score by chance
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   */
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  double getNbExpected(int multiplier) const;
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  /**
   * @return expected number of Segmenter that would have yield the maximum score by chance
   *         on the left part of the read and on the right part of the read respectively.
   */
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  pair<double,double> getNbExpectedLeftRight(int multiplier) const;
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  ~KmerMultiSegmenter();

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  KmerSegmenter *the_kseg;
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  MultiGermline *multi_germline;
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};


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class FineSegmenter : public Segmenter
{
 public:
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   vector<pair<int, int> > score_V;
   vector<pair<int, int> > score_D;
   vector<pair<int, int> > score_J;
   
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   /**
   * Build a fineSegmenter based on KmerSegmentation
   * @param seq: An object read from a FASTA/FASTQ file
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   * @param germline: germline used
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   */
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  FineSegmenter(Sequence seq, Germline *germline, Cost segment_cost);
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  /**
  * extend segmentation from VJ to VDJ
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  * @param germline: germline used
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  */
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  void FineSegmentD(Germline *germline);
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  void findCDR3();
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  void toJsonList(JsonList *seg);
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};



#endif