1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847
|
/*****************************************************************************\
* Filename : pp_profile.hh
* Author : Oliver Keller
* Project : Gene Prediction with Protein Family Patterns
*
* Description: Data structures containing the ProteinProfile /
* IntronProfile
*
*
* Date | Author | Changes
*------------|-----------------------|---------------------------------
* 22.03.07 | Oliver Keller | creation of the file
* 06.11.08 | Oliver Keller | first version in SVN
* 28.01.09 | Oliver Keller | rev. 157, final forward-only version
\******************************************************************************/
#ifndef __PP_PROFILE_HH
#define __PP_PROFILE_HH
// project includes
#include "geneticcode.hh" // needed to score codons
#include "vitmatrix.hh" // for SubstateId's
// standard C/C++ includes
#include <deque>
#include <cmath> // for sqrt
#include <map>
#include <vector>
using namespace std;
// constants used in profile classes
// how many bits are available for i when coding PP::Position as int
#define INTERBLOCKBITS 15
#define MAXINTERBLOCKDIST ((1<<INTERBLOCKBITS)-1)
// this might well be reduced in the future to enable more profile-related
// substates
#define MAX_BLOCKCOUNT 64
// fraction by which the distance range is relaxed
// PP::DistanceType::makeTolerant allows for a range of (1-x)min,(1+x)max
#define RELAXATION 0.05
// minimum size of a partial block that can be discarded
#define MIN_CHECKCOUNT 3
#define MIN_BLOCKSIZE 6
// default values for quantiles (in units of stddev)
// that are transformed into scoring thresholds
#define MIN_SPEC 4.0
#define MIN_SENS 0.4
#define MIN_ANCHOR_SPEC 4.0
#define MIN_ANCHOR_COUNT 1
#define PARTIAL_SPEC 4.5
#define PARTIAL_SENS 2.0
#define GLOBAL_THRESH 2.5
struct Dist {
double mu;
double var;
Dist(double m=0, double v=0) : mu(m), var(v) {}
Dist& add(double m=0, double v=0) {
mu+=m; var+=v; return *this;
}
Dist& operator+=(const Dist& other) {
return add(other.mu, other.var);
}
Dist& operator-=(const Dist& other) {
return add(-other.mu, -other.var);
}
Dist operator+(const Dist& other) const {
return Dist(*this) += other;
}
Dist operator-(const Dist& other) const {
return Dist(*this) -= other;
}
double stddev() const {
return sqrt(var>=0?var:-var);
}
double normed(double abs) const {
return (abs - mu)/stddev();
}
double abs(double normed) const {
return normed * stddev() + mu;
}
};
inline Dist operator-(const Dist& d) {
return Dist(-d.mu, -d.var);
}
/*
* A data structure representing the intron profile of a block profile
*
*/
struct ProfileMap : private map < pair<int, int>, double > {
void add(int n, int f, double p) {
insert(make_pair(make_pair(n,f), p));
}
double get(int n, int f) const {
const_iterator it = find(make_pair(n,f));
return (it == end()) ? 0 : it->second;
}
}; // class ProfileMap
namespace PP {
/*
* Exception class thrown from PP:: classes
*/
struct ProfileNotFoundError : ProjectError {
ProfileNotFoundError(string filename) :
ProjectError("PP::Profile: Could not open file \"" + filename + "\".")
{}
};
struct ProfileReadError : ProjectError {
ProfileReadError(string filename, int lineno) :
ProjectError("PP::Profile: Error parsing pattern file\"" + filename +
"\", line " + itoa(lineno) + ".")
{}
};
struct ProfileParseError {
int lineno;
ProfileParseError(int n) : lineno(n) {}
};
struct PartParseError {
int offset;
PartParseError(int n) : offset(n) {}
};
struct ProfileInsigError : ProjectError {
ProfileInsigError(string message) :
ProjectError("PP::Profile: " + message) {}
};
/*
* A data structure representing an integer interval
*/
struct Range {
Range(int x=0) : min(x), max(x) {}
Range(int l, int h) : min(l), max(h) {
if (min>max) { min = h; max = l; }
}
Range operator+= (Range other) {
min+=other.min;
max+=other.max;
return *this;
}
Range operator+ (Range other) const {
return Range(min,max)+=other;
}
bool has(int elem) const {
return min <= elem && elem <= max;
}
int size() const { // <= 0 is equivalent to
return max-min+1;
}
// move interval such that max equals newmax
Range alignRight(int newmax) const {
return Range(newmax-max+min, newmax);
}
// move interval such that min equals newmin
Range alignLeft(int newmin) const {
return Range(newmin, newmin+max-min);
}
// data fields
int min, max;
}; // class PP::Range
inline Range operator- (Range r) {
return Range(-r.max, -r.min);
}
struct DistanceType {
bool has_max;
Range r;
DistanceType() : has_max(true), r() {}
DistanceType(Range other) : has_max(true), r(other) {}
friend ostream& operator<< (ostream& strm, DistanceType d) {
if (d.has_max)
return strm << d.r.min << "\t" << d.r.max;
else
return strm << d.r.min << "\t*";
}
friend istream& operator>> (istream& strm, DistanceType& d) {
d.has_max = true;
strm >> d.r.min >> ws;
if (strm.peek() == '*') {
strm.get();
d.has_max = false;
d.r.max = d.r.min;
return strm;
}
return strm >> d.r.max;
}
DistanceType& operator+= (DistanceType other) {
r += other.r;
has_max = has_max && other.has_max;
return *this;
}
DistanceType operator+ (DistanceType other) const {
return DistanceType(*this) += other;
}
void setInfMax () {
r.max = r.min;
has_max = false;
}
void makeTolerant() {
r.min = int(r.min * (1-RELAXATION) + 0.5);
if (has_max) {
r.max = int(r.max * (1+RELAXATION) + 0.5);
if (r.max >= MAXINTERBLOCKDIST)
setInfMax();
} else
r.max = r.min;
}
bool has(int elem) const {
return has_max ? r.has(elem) : r.min <= elem;
}
};
/*
* A data structure representing a distribution of amino acids
*/
class Column {
public:
Column() { values[0]=1.0; }
Column(const double* val) {
*this = val;
}
Column& operator= (const double*);
// initialize odds-ratios factors
void initRatios();
// return expectation and variance of odds-ratios
Dist getDist(const Column& model) const;
Dist getOwnDist() const {
return getDist(*this);
}
Dist getBackDist() const {
return getDist(background);
}
// accessing the Column entries
// by value
double operator[](int n) const {
return (0 <= n && n<NUM_AA) ? values[n] : -1.0;
}
// by oddRatio
Double Q(int n) const {
return (0 <= n && n<NUM_AA) ? oddRatios[n] : stopCodonScore;
}
Double Q(char c) const {
return Q(GeneticCode::get_aa_from_symbol(c));
}
// by LogOddRatio
double L(int n) const {
return Q(n).log();
}
// stream operations
friend ostream& operator<<(ostream&, const Column&);
friend istream& operator>>(istream&, Column& c);
static const Double stopCodonScore;
static double invalidScore;
static double weight;
private:
// internal data fields
double values[NUM_AA]; // these numbers will be positive and
// add up to one; class takes care of the normalisation
double oddRatios[NUM_AA]; // the odds against the background distribution
static const Column background;
static const double minFreq; // a frequency of 0.0001 is always ensured by the class;
// but we don't deal here with pseudocounts
}; // class PP::Column
struct Position {
Position() : b(-1), i(0) {}
Position(int blockno, int columnNr) :
b(blockno), i(columnNr) {}
Position(const SubstateId& id) :
b(id.slot % MAX_BLOCKCOUNT),
i(id.value) {}
Position operator+ (int l) {
return Position(b, i + l);
}
Position operator- (int l) {
return operator+(-l);
}
Position operator++(int) {
return Position(b,i++);
}
bool operator< (Position other) const {
return (b < other.b) || (b == other.b && i < other.i);
}
bool operator== (Position other) const {
return i==other.i && b==other.b;
}
bool operator!= (Position other) const {
return !(other == (*this));
}
bool operator<= (Position other) const {
return !(other < (*this));
}
void nextB() { b++; i=0; }
// static int getB(int id) {
// return id >> (INTERBLOCKBITS+1);
// }
// static int getI(int id) {
// static const int mask = (-1) << (INTERBLOCKBITS+1);
// static const int offset = 1 << INTERBLOCKBITS;
// return (id | mask) + offset;
// }
// static Position fromId(int id) {
// if (id < 0) return Position();
// return Position(getB(id), getI(id));
// }
Position operator= (const SubstateId& id) {
b = id.slot % MAX_BLOCKCOUNT;
i = id.value;
return *this;
}
SubstateId id() const {
return b<0 ? SubstateId() : SubstateId(b,i);
}
SubstateId copyId() const {
return b<0 ? SubstateId() : SubstateId(b + MAX_BLOCKCOUNT, i);
}
short b, i;
}; // class PP::Position
class BlockScoreType;
struct PartScoreType {
int from, to;
double score;
};
class Block {
// friend class BlockScoreType;
public:
Block(DistanceType, const vector<string>&, string);
~Block() {
delete iP;
}
// score(x,b,l) is the emission probability factor for the sequence starting
// at dna position x, from the partial block of length l (codons), starting at
// offset b
// BlockScoreType score;
void initDistributions();
bool initThresholds();
void setIntronProfile(const vector<string>&);
int size() const { return columns.size(); }
const Column& operator[] (int columnNr) const { return columns[columnNr]; }
// bool addBlocksUntil(int newbase, map<int,Double>* result=NULL);
// void removeBlocksUntil(int newbase) {
// newbase -= 3 * size();
// while (score.begin() < newbase)
// score.pop_front();
// }
// Double saveNewScore();
// Double savedScore(int offset) {
// map<int,Double>::iterator it = hits[offset%3].find(offset);
// return it == hits[offset%3].end() ? 0 : it->second;
// }
Double scoreFromScratch(bool complement, int dna_offset, int block_offset, int len) const;
Double scoreFromScratch(bool complement, int dna_offset, int block_offset) const {
return scoreFromScratch(complement, dna_offset, block_offset, size()-block_offset);
}
Double scoreFromScratch(bool complement, int dna_offset) const {
return scoreFromScratch(complement, dna_offset, 0);
}
Double checkedSuffixScore(bool complement, int dna_offset, int block_offset) const;
void bestPartialLogScore(bool complement, int dna_offset, PartScoreType&) const;
// Double checkedPrefixScore(bool complement, int dna_offset, int len) const {
// Double result = scoreFromScratch(complement, dna_offset, 0,len);
// return result > getPrefixThresh(complement, len) ? result : 0;
// }
// const map<int,Double>& savedHits(int f) const {
// return hits[f];
// }
#ifdef DEBUG
void show_score(int n);
#endif
Block reverse(DistanceType dist) {
Block result;
result.distance = dist;
for (int i=size()-1; i>=0; i--)
result.columns.push_back(columns[i]);
return result;
}
friend void initConstants();
Double getPrefixThresh(bool complement, int i) const;
Double getSuffixThresh(bool complement, int i) const;
Double getPartialThresh(bool complement, int from, int to) const {
return complement ?
thresholdMatrix[size()-from][size()-to] :
thresholdMatrix[to][from];
}
Double getPartialThresh(bool complement, int from) const {
return getPartialThresh(complement, from, size());
}
Double getThreshold() const {
return threshold;
}
bool hasIP() const {
return iP != 0;
}
double getIntronFreq(int i, int frame) const {
return iP->get(i,frame);
}
bool isAnchor() {
return threshold > getSpecThresh(min_anchor_spec); //getBackDist().abs(min_anchor_spec);
}
// Dist getBlockscoreBack() {
// return backDists[0];
// }
// the following methods use logscores
Dist getOwnDist(int from, int to, bool complement = false) const {
return complement ?
ownDists[size()-to] - ownDists[size()-from] :
ownDists[from] - ownDists[to];
}
Dist getOwnDist(int from=0) const {
return ownDists[from];
}
Dist getBackDist(int from, int to, bool complement = false ) const {
return complement ?
backDists[size()-to] - ownDists[size()-from]:
backDists[from] - backDists[to];
}
Dist getBackDist(int from=0) const {
return backDists[from];
}
double ownNormalize(double logscore, int from, int to, bool complement = false) const {
return getOwnDist(complement, from, to).normed(logscore);
}
double backNormalize(double logscore, int from, int to, bool complement = false) const {
return getBackDist(complement, from, to).normed(logscore);
}
double getSensThresh(double stddev, int from, int to) const {
return getOwnDist(from, to).abs(-stddev);
}
double getSensThresh(double stddev, int from=0) const {
return getOwnDist(from).abs(-stddev);
}
double getSpecThresh(double stddev, int from, int to) const {
return getBackDist(from, to).abs(stddev);
}
double getSpecThresh(double stddev, int from=0) const {
return getBackDist(from).abs(stddev);
}
const vector<Dist>& getAllOwnDists() const {
return ownDists;
}
string id;
DistanceType distance; // distance range to previous block
static const Double almostZero;
static const double invalidScore;
private:
Block() : iP(0) {}
vector<Column> columns;
ProfileMap* iP;
// map<int,Double> hits[3]; // will be updated by addBlocksUntil
#ifdef DEBUG
vector<Double> prefixThresh, suffixThresh;
#endif
vector< vector<Double> > thresholdMatrix;
vector<Dist> backDists, ownDists;
// Dist blockscoreBack;
Double threshold; // threshold for full block scores to be inserted in the hitlist
static double min_spec;
static double min_sens;
static double min_anchor_spec;
static double partial_spec;
static double partial_sens;
}; // class PP::Block
class BlockScoreType {
public:
typedef vector<Double> aligned_type; // partial (prefix) scores for the block at one dna position
// back() is the full block score
typedef deque<aligned_type> array_type; // the aligned_types for all dna positions
BlockScoreType(const Block& block) :
offset(0), partner(&block) {}
bool addBlocksUntil(bool complement, int newbase, map<int,Double>* result=NULL);
void removeBlocksUntil(int newbase) {
newbase -= 3 * size();
while (begin() < newbase)
pop_front();
}
Double savedScore(int offset) {
map<int,Double>::iterator it = hits[offset%3].find(offset);
return it == hits[offset%3].end() ? 0 : it->second;
}
const map<int,Double>& savedHits(int f) const {
return hits[f];
}
void init(int newoffset = 0) {
offset = newoffset;
values.clear();
for (int f=0; f<3; f++) hits[f].clear();
}
void pop_front() { // removes the first block from the array and returns its score
values.pop_front();
++offset;
}
Double front() {
return values.front().back();
}
// void push_back(const aligned_type& new_vals) {
// values.push_back(new_vals);
// }
// void push_front(const aligned_type& new_vals) {
// values.push_front(new_vals);
// offset--;
// }
const aligned_type& getAlignedScores(int x) const {
return values.at(x-offset);
}
Double get(int dna_offset, int block_offset, int len) const {
if (len==0)
return 1;
if (block_offset == 0)
return getAlignedScores(dna_offset).at(len-1);
const aligned_type& alignedScores = getAlignedScores(dna_offset - 3*block_offset);
return alignedScores.at(len+block_offset-1)/alignedScores.at(block_offset-1);
}
Double get(int dna_offset, int block_offset) const {
if (block_offset == 0)
return get(dna_offset);
const aligned_type& alignedScores = getAlignedScores(dna_offset - 3*block_offset);
return alignedScores.back()/alignedScores.at(block_offset-1);
}
Double get(int dna_offset) const {
return getAlignedScores(dna_offset).back();
}
const int& begin() const {
return offset;
}
int count() const {
return values.size();
}
int end() const {
return offset + count();
}
int size() const {
return partner->size();
}
// Double threshold() const {
// return partner->threshold;
// }
Double prefixThresh(bool complement, int i) const {
return partner->getPrefixThresh(complement, i);
}
Double suffixThresh(bool complement, int i) const {
return partner->getSuffixThresh(complement, i);
}
private:
aligned_type& new_back() {
values.push_back(aligned_type());
return values.back();
}
// internal data fields
array_type values;
int offset; // dna pos of first base of first evaluated block
const Block* partner;
map<int,Double> hits[3]; // will be updated by addBlocksUntil
}; // class PP::BlockScoreType
class Profile {
static Column background;
static double lowest_odds, exp_lowest_odds;
public:
// methods of class ProteinProfile
// initialise pattern from file <filename>
Profile(string filename);
// static bool idInBlock(int id) {
// return ((id >> INTERBLOCKBITS)) % 2 > 0;
// }
// Position getPosOfId(int id) const {
// if (id < 0) return Position();
// Position result(getB(id), getI(id));
// #ifdef DEBUG
// if (result.b > blockCount()) {
// cout << "getB() > #blocks\n";
// } else if (result.i > blockSize(result.b)) {
// cout << "getI() > blocksize\n";
// }
// #endif
// if (result.i < 0) result.i <<= skipBits[result.b];
// return result;
// }
// Position getPosOfCopyId(int id, bool comp=false) const {
// return getPosOfId(id + copyOffset);
// }
Position firstInRange(int blockno=0) const {
return Position(blockno, -interBlockRange(blockno).max);
}
int blockCount() const {
return blocks.size();
}
int blockSize(int blockno) const {
#ifdef DEBUG
if (blockno < 0 || blockno >= blocks.size())
throw ProjectError("prfl.blockSize() called with index out of range");
#endif
return blocks[blockno].size();
}
DistanceType interBlockDist(int blockno) const {
return blockno == blockCount() ? finalDist : blocks[blockno].distance;
}
Range interBlockRange(int blockno) const {
return interBlockDist(blockno).r;
}
// bool has_max(int blockno) const {
// return interBlockDist(blockno).has_max;
// }
// DistanceType interBlockFullDist(int blockno) const {
// if (blockno == 0)
// return blocks[0].distance;
// DistanceType result = interBlockDist(blockno);
// result.r += blocks[blockno-1].size();
// return result;
// }
// int interBlockMaxDist(int blockno) const {
// return interBlockFullRange(blockno).max;
// }
// bool isInRange(int blockno, int len) const {
// return interBlockRange(blockno).has(len);
// }
Column getColumn(Position pos) const {
return blocks[pos.b][pos.i];
}
string getName() const {
return name;
}
string getInfoLine() const {
ostringstream result;
int blockno=0;
while (true) {
result << "--";
DistanceType d = interBlockDist(blockno);
if (d.has_max)
result << "[" << d.r.min << ".." << d.r.max << "]";
else if (d.r.min>0)
result << "[" << d.r.min << ",...]";
result << "--";
if (blockno == blockCount())
return result.str();
result << "> " << blocks[blockno].id << " (" << blockSize(blockno) << ") <";
blockno++;
}
}
ostream& write(ostream&) const;
friend ostream& operator<< (ostream& strm, const Profile& P) {
return P.write(strm);
}
// Position finalPos() const {
// return Position(blockCount(),0);
// }
// SubstateId getTerminalId() const {
// return Position(blockCount(),0).id();
// }
Block& operator[] (int blockno) {
return blocks[blockno];
}
const Block& operator[] (int blockno) const {
return blocks[blockno];
}
Double getGlobalThresh(bool complement, Position ppos) const {
return
ppos.b == blockCount() ? 1 :
globalThresh[complement][ppos.b][ppos.i >= 0 ? ppos.i : 0];
}
friend void initConstants();
#ifdef DEBUG
static bool vv_equal(const vector<Double>& v1, const vector<Double>& v2) {
return equal(v1.begin(), v1.end(), v2.begin(), almost_equal);
}
#endif
#ifdef DEBUG
Profile reverse() {
Profile result;
vector< vector<Dist> > ownDists;
result.name = name + "(rev.)";
for (int b=blockCount(); b>0; b--) {
result.blocks.push_back(blocks[b-1].reverse(interBlockDist(b)));
result.blocks.back().initThresholds();
ownDists.push_back(result.blocks.back().getAllOwnDists());
}
result.calcGlobalThresh(ownDists);
if (!equal(result.globalThresh[0].begin(),
result.globalThresh[0].end(),
globalThresh[1].begin(),
vv_equal) ||
!equal(result.globalThresh[1].begin(),
result.globalThresh[1].end(),
globalThresh[0].begin(),
vv_equal) )
throw ProjectError("globalThreshs not equal!");
for (int b=0; b<blockCount(); b++)
for (int i=1; i<result.blockSize(b); i++)
if (!almost_equal(result[b].getPrefixThresh(false, i),
blocks[blockCount()-b-1].getPrefixThresh(true,i)) ||
!almost_equal(result[b].getPrefixThresh(true, i),
blocks[blockCount()-b-1].getPrefixThresh(false,i)))
throw ProjectError("prefixThreshs not equal!");
else if (!almost_equal(result[b].getSuffixThresh(false, i),
blocks[blockCount()-b-1].getSuffixThresh(true,i)) ||
!almost_equal(result[b].getSuffixThresh(true, i),
blocks[blockCount()-b-1].getSuffixThresh(false,i)))
throw ProjectError("suffixThreshs not equal!");
result.finalDist = interBlockDist(0);
return result;
}
#endif
private:
Profile() {}
void calcGlobalThresh(const vector< vector<Dist> >&);
void parse_stream(istream&);
// data fields
string name;
vector<Block> blocks; // the blocks
vector< vector<Double> > globalThresh[2];
DistanceType finalDist; // final non-block range
ProfileMap iP; // not implemented
static int min_anchor_count;
static double global_thresh;
static double absolute_malus_threshold;
// // moved to SubstateModel
// void addSkipBits(Range r) {
// int n=0;
// while (r.max > (1<<INTERBLOCKBITS)) {
// r.max >>= 1;
// n++;
// }
// skipBits[0].push_back(n);
// }
// int copyOffset;
}; // class PP::Profile
struct DNA {
static const char* sequence;
static int len;
static void initSeq(const char* dna, int seqlen) {
sequence = dna;
len = seqlen;
}
static void initSeq(string s) {
sequence = s.c_str();
len = s.length();
}
};
void initConstants();
} // namespace PP
#ifdef DEBUG
namespace std {
inline ostream& operator<< (ostream& strm, PP::Position ppos) {
return strm << ppos.b << "/" << ppos.i;
}
}
#endif
inline Double PP::Block::getPrefixThresh(bool complement, int i) const {
#ifdef DEBUG
if (i<=0 || i>=size())
throw ProjectError("Out of range!");
Double result = complement ?
suffixThresh[size() - i] :
prefixThresh[i];
if (!almost_equal(result,getPartialThresh(complement, 0, i)))
throw ProjectError("partialThresh bug");
#endif
return getPartialThresh(complement, 0, i);
}
inline Double PP::Block::getSuffixThresh(bool complement, int i) const {
#ifdef DEBUG
if (i<=0 || i>=size())
throw ProjectError("Out of range!");
Double result=complement ?
prefixThresh[size() - i] :
suffixThresh[i];
if (!almost_equal(result,getPartialThresh(complement, i)))
throw ProjectError("partialThresh bug");
#endif
return getPartialThresh(complement, i);
}
#endif
|