5 * Created by westcott on 8/24/09.
6 * Copyright 2009 Schloss Lab. All rights reserved.
11 #include "ignoregaps.h"
12 #include "eachgapdist.h"
15 //***************************************************************************************************************
16 Ccode::Ccode(string filename, string temp) { fastafile = filename; templateFile = temp; }
17 //***************************************************************************************************************
21 for (int i = 0; i < querySeqs.size(); i++) { delete querySeqs[i]; }
22 for (int i = 0; i < templateSeqs.size(); i++) { delete templateSeqs[i]; }
25 errorOut(e, "Ccode", "~Ccode");
29 //***************************************************************************************************************
30 void Ccode::print(ostream& out) {
35 string mapInfo = getRootName(fastafile) + "mapinfo";
37 openOutputFile(mapInfo, out2);
39 out2 << "Place in masked, filtered and trimmed sequence\tPlace in original alignment" << endl;
41 for (int j = 0; j < querySeqs.size(); j++) {
42 out2 << querySeqs[j]->getName() << endl;
43 for (it = spotMap[j].begin(); it!= spotMap[j].end(); it++) {
44 out2 << it->first << '\t' << it->second << endl;
49 out.setf(ios::fixed, ios::floatfield); out.setf(ios::showpoint);
51 out << "For full window mapping info refer to " << mapInfo << endl << endl;
53 for (int i = 0; i < querySeqs.size(); i++) {
55 out << querySeqs[i]->getName() << endl << endl << "Reference sequences used and distance to query:" << endl;
57 for (int j = 0; j < closest[i].size(); j++) {
58 out << setprecision(3) << closest[i][j].seq->getName() << '\t' << closest[i][j].dist << endl;
63 //window mapping info.
64 out << "Mapping information: ";
65 //you mask and did not filter
66 if ((seqMask != "") && (!filter)) { out << "mask and trim."; }
68 //you filtered and did not mask
69 if ((seqMask == "") && (filter)) { out << "filter and trim."; }
71 //you masked and filtered
72 if ((seqMask != "") && (filter)) { out << "mask, filter and trim."; }
74 out << endl << "Window\tStartPos\tEndPos" << endl;
77 for (int k = 0; k < windows[i].size()-1; k++) {
78 out << k+1 << '\t' << spotMap[i][windows[i][k]-it->first] << '\t' << spotMap[i][windows[i][k]-it->first+windowSizes[i]] << endl;
81 out << windows[i].size() << '\t' << spotMap[i][windows[i][windows[i].size()-1]-it->first] << '\t' << spotMap[i][it->second-it->first-1] << endl;
84 out << "Window\tAvgQ\t(sdQ)\tAvgR\t(sdR)\tRatio\tAnova" << endl;
85 for (int k = 0; k < windows[i].size(); k++) {
86 float ds = averageQuery[i][k] / averageRef[i][k];
87 out << k+1 << '\t' << averageQuery[i][k] << '\t' << sdQuery[i][k] << '\t' << averageRef[i][k] << '\t'<< sdRef[i][k] << '\t' << ds << '\t' << anova[i][k] << endl;
93 /* F test for differences among variances.
94 * varQuery is expected to be higher or similar than varRef */
95 //float fs = varQuery[query][i] / varRef[query][i]; /* F-Snedecor, test for differences of variances */
99 //confidence limit, t - Student, anova
100 out << "Window\tConfidenceLimit\tt-Student\tAnova" << endl;
102 for (int k = 0; k < windows[i].size(); k++) {
104 if (isChimericConfidence[i][k]) { temp += "*\t"; }
105 else { temp += "\t"; }
107 if (isChimericTStudent[i][k]) { temp += "*\t"; }
108 else { temp += "\t"; }
110 if (isChimericANOVA[i][k]) { temp += "*\t"; }
111 else { temp += "\t"; }
113 out << k+1 << '\t' << temp << endl;
115 if (temp == "*\t*\t*\t") { results = true; }
120 mothurOut(querySeqs[i]->getName() + " was found have at least one chimeric window."); mothurOutEndLine();
124 catch(exception& e) {
125 errorOut(e, "Ccode", "print");
130 //***************************************************************************************************************
131 void Ccode::getChimeras() {
134 //read in query sequences and subject sequences
135 mothurOut("Reading sequences and template file... "); cout.flush();
136 querySeqs = readSeqs(fastafile);
137 templateSeqs = readSeqs(templateFile);
138 mothurOut("Done."); mothurOutEndLine();
140 int numSeqs = querySeqs.size();
142 closest.resize(numSeqs);
144 refCombo.resize(numSeqs, 0);
145 sumRef.resize(numSeqs);
146 varRef.resize(numSeqs);
147 varQuery.resize(numSeqs);
148 sdRef.resize(numSeqs);
149 sdQuery.resize(numSeqs);
150 sumQuery.resize(numSeqs);
151 sumSquaredRef.resize(numSeqs);
152 sumSquaredQuery.resize(numSeqs);
153 averageRef.resize(numSeqs);
154 averageQuery.resize(numSeqs);
155 anova.resize(numSeqs);
156 isChimericConfidence.resize(numSeqs);
157 isChimericTStudent.resize(numSeqs);
158 isChimericANOVA.resize(numSeqs);
159 trim.resize(numSeqs);
160 spotMap.resize(numSeqs);
161 windowSizes.resize(numSeqs, window);
162 windows.resize(numSeqs);
164 //break up file if needed
165 int linesPerProcess = numSeqs / processors ;
167 #if defined (__APPLE__) || (__MACH__) || (linux) || (__linux)
168 //find breakup of sequences for all times we will Parallelize
169 if (processors == 1) { lines.push_back(new linePair(0, numSeqs)); }
172 for (int i = 0; i < (processors-1); i++) {
173 lines.push_back(new linePair((i*linesPerProcess), ((i*linesPerProcess) + linesPerProcess)));
175 //this is necessary to get remainder of processors / numSeqs so you don't miss any lines at the end
176 int i = processors - 1;
177 lines.push_back(new linePair((i*linesPerProcess), numSeqs));
180 //find breakup of templatefile for quantiles
181 if (processors == 1) { templateLines.push_back(new linePair(0, templateSeqs.size())); }
183 for (int i = 0; i < processors; i++) {
184 templateLines.push_back(new linePair());
185 templateLines[i]->start = int (sqrt(float(i)/float(processors)) * templateSeqs.size());
186 templateLines[i]->end = int (sqrt(float(i+1)/float(processors)) * templateSeqs.size());
190 lines.push_back(new linePair(0, numSeqs));
191 templateLines.push_back(new linePair(0, templateSeqs.size()));
194 distCalc = new eachGapDist();
195 decalc = new DeCalculator();
198 if (processors == 1) {
199 mothurOut("Finding top matches for sequences... "); cout.flush();
200 closest = findClosest(lines[0]->start, lines[0]->end, numWanted);
201 mothurOut("Done."); mothurOutEndLine();
202 }else { createProcessesClosest(); }
205 for (int j = 0; j < numSeqs; j++) {
206 for (int i = 0; i < querySeqs[0]->getAligned().length(); i++) {
211 //mask sequences if the user wants to
213 decalc->setMask(seqMask);
216 for (int i = 0; i < querySeqs.size(); i++) {
217 decalc->runMask(querySeqs[i]);
221 for (int i = 0; i < templateSeqs.size(); i++) {
222 decalc->runMask(templateSeqs[i]);
225 for (int i = 0; i < numSeqs; i++) {
226 spotMap[i] = decalc->getMaskMap();
231 vector<Sequence*> temp = templateSeqs;
232 for (int i = 0; i < querySeqs.size(); i++) { temp.push_back(querySeqs[i]); }
236 runFilter(querySeqs);
237 runFilter(templateSeqs);
240 map<int, int> newMap;
244 for (int i = 0; i < filterString.length(); i++) {
245 if (filterString[i] == '1') {
247 newMap[spot] = spotMap[j][i];
252 for (int i = 0; i < numSeqs; i++) {
257 //trim sequences - this follows ccodes remove_extra_gaps
258 for (int i = 0; i < querySeqs.size(); i++) {
262 //windows are equivalent to words - ccode paper recommends windows are between 5% and 20% on alignment length().
263 //Our default will be 10% and we will warn if user tries to use a window above or below these recommendations
264 for (int i = 0; i < querySeqs.size(); i++) {
265 windows[i] = findWindows(i);
268 //remove sequences that are more than 20% different and less than 0.5% different - may want to allow user to specify this later
269 if (processors == 1) {
270 for (int i = 0; i < closest.size(); i++) {
271 removeBadReferenceSeqs(closest[i], i);
273 }else { createProcessesRemoveBad(); }
276 if (processors == 1) {
277 //find the averages for each querys references
278 for (int i = 0; i < numSeqs; i++) {
279 getAverageRef(closest[i], i); //fills sumRef[i], averageRef[i], sumSquaredRef[i] and refCombo[i].
282 //find the averages for the query
283 for (int i = 0; i < numSeqs; i++) {
284 getAverageQuery(closest[i], i); //fills sumQuery[i], averageQuery[i], sumSquaredQuery[i].
286 }else { createProcessesAverages(); }
288 if (processors == 1) {
289 //find the averages for each querys references
290 for (int i = 0; i < numSeqs; i++) {
291 findVarianceRef(i); //fills varRef[i] and sdRef[i] also sets minimum error rate to 0.001 to avoid divide by 0.
294 //find the averages for the query
295 for (int i = 0; i < numSeqs; i++) {
296 findVarianceQuery(i); //fills varQuery[i] and sdQuery[i] also sets minimum error rate to 0.001 to avoid divide by 0.
298 }else { createProcessesVariances(); }
300 if (processors == 1) {
301 for (int i = 0; i < numSeqs; i++) {
302 determineChimeras(i); //fills anova, isChimericConfidence[i], isChimericTStudent[i] and isChimericANOVA[i].
304 }else { createProcessesDetermine(); }
307 for (int i = 0; i < lines.size(); i++) { delete lines[i]; }
308 for (int i = 0; i < templateLines.size(); i++) { delete templateLines[i]; }
313 catch(exception& e) {
314 errorOut(e, "Ccode", "getChimeras");
318 /***************************************************************************************************************/
319 //ccode algo says it does this to "Removes the initial and final gaps to avoid biases due to incomplete sequences."
320 void Ccode::trimSequences(int query) {
323 int frontPos = 0; //should contain first position in all seqs that is not a gap character
324 int rearPos = querySeqs[query]->getAligned().length();
326 //********find first position in closest seqs that is a non gap character***********//
327 //find first position all query seqs that is a non gap character
328 for (int i = 0; i < closest[query].size(); i++) {
330 string aligned = closest[query][i].seq->getAligned();
333 //find first spot in this seq
334 for (int j = 0; j < aligned.length(); j++) {
335 if (isalpha(aligned[j])) {
341 //save this spot if it is the farthest
342 if (pos > frontPos) { frontPos = pos; }
345 //find first position all querySeq[query] that is a non gap character
346 string aligned = querySeqs[query]->getAligned();
349 //find first spot in this seq
350 for (int j = 0; j < aligned.length(); j++) {
351 if (isalpha(aligned[j])) {
357 //save this spot if it is the farthest
358 if (pos > frontPos) { frontPos = pos; }
361 //********find last position in closest seqs that is a non gap character***********//
362 for (int i = 0; i < closest[query].size(); i++) {
364 string aligned = closest[query][i].seq->getAligned();
365 int pos = aligned.length();
367 //find first spot in this seq
368 for (int j = aligned.length()-1; j >= 0; j--) {
369 if (isalpha(aligned[j])) {
375 //save this spot if it is the farthest
376 if (pos < rearPos) { rearPos = pos; }
379 //find last position all querySeqs[query] that is a non gap character
380 aligned = querySeqs[query]->getAligned();
381 pos = aligned.length();
383 //find first spot in this seq
384 for (int j = aligned.length()-1; j >= 0; j--) {
385 if (isalpha(aligned[j])) {
391 //save this spot if it is the farthest
392 if (pos < rearPos) { rearPos = pos; }
395 //check to make sure that is not whole seq
396 if ((rearPos - frontPos - 1) <= 0) { mothurOut("Error, when I trim your sequences, the entire sequence is trimmed."); mothurOutEndLine(); exit(1); }
398 map<int, int> tempTrim;
399 tempTrim[frontPos] = rearPos;
401 //save trimmed locations
402 trim[query] = tempTrim;
405 map<int, int> newMap;
408 for (int i = frontPos; i < rearPos; i++) {
410 //cout << query << '\t' << i << '\t' << spotMap[query][i] << endl;
411 newMap[spot] = spotMap[query][i];
415 //for (it = newMap.begin(); it!=newMap.end(); it++) {
416 //cout << query << '\t' << it->first << '\t' << it->second << endl;
419 spotMap[query] = newMap;
423 catch(exception& e) {
424 errorOut(e, "Ccode", "trimSequences");
429 /***************************************************************************************************************/
430 vector<int> Ccode::findWindows(int query) {
434 it = trim[query].begin();
436 int length = it->second - it->first;
438 //default is wanted = 10% of total length
439 if (windowSizes[query] > length) {
440 mothurOut("You have slected a window larger than your sequence length after all filters, masks and trims have been done. I will use the default 10% of sequence length.");
441 windowSizes[query] = length / 10;
442 }else if (windowSizes[query] == 0) { windowSizes[query] = length / 10; }
443 else if (windowSizes[query] > (length / 20)) {
444 mothurOut("You have selected a window that is larger than 20% of your sequence length. This is not recommended, but I will continue anyway."); mothurOutEndLine();
445 }else if (windowSizes[query] < (length / 5)) {
446 mothurOut("You have selected a window that is smaller than 5% of your sequence length. This is not recommended, but I will continue anyway."); mothurOutEndLine();
449 //save starting points of each window
450 for (int m = it->first; m < (it->second-windowSizes[query]); m+=windowSizes[query]) { win.push_back(m); }
453 if (win[win.size()-1] < (it->first+length)) {
454 win.push_back(win[win.size()-1]+windowSizes[query]); // ex. string length is 115, window is 25, without this you would get 0, 25, 50, 75
455 } //with this you would get 1,25,50,75,100
461 catch(exception& e) {
462 errorOut(e, "Ccode", "findWindows");
466 //***************************************************************************************************************
467 int Ccode::getDiff(string seqA, string seqB) {
472 for (int i = 0; i < seqA.length(); i++) {
473 //if you are both not gaps
474 //if (isalpha(seqA[i]) && isalpha(seqA[i])) {
476 if (seqA[i] != seqB[i]) {
477 int ok; /* ok=1 means equivalent base. Checks for degenerate bases */
479 /* the char in base_a and base_b have been checked and they are different */
480 if ((seqA[i] == 'N') && (seqB[i] != '-')) ok = 1;
481 else if ((seqB[i] == 'N') && (seqA[i] != '-')) ok = 1;
482 else if ((seqA[i] == 'Y') && ((seqB[i] == 'C') || (seqB[i] == 'T'))) ok = 1;
483 else if ((seqB[i] == 'Y') && ((seqA[i] == 'C') || (seqA[i] == 'T'))) ok = 1;
484 else if ((seqA[i] == 'R') && ((seqB[i] == 'G') || (seqB[i] == 'A'))) ok = 1;
485 else if ((seqB[i] == 'R') && ((seqA[i] == 'G') || (seqA[i] == 'A'))) ok = 1;
486 else if ((seqA[i] == 'S') && ((seqB[i] == 'C') || (seqB[i] == 'G'))) ok = 1;
487 else if ((seqB[i] == 'S') && ((seqA[i] == 'C') || (seqA[i] == 'G'))) ok = 1;
488 else if ((seqA[i] == 'W') && ((seqB[i] == 'T') || (seqB[i] == 'A'))) ok = 1;
489 else if ((seqB[i] == 'W') && ((seqA[i] == 'T') || (seqA[i] == 'A'))) ok = 1;
490 else if ((seqA[i] == 'M') && ((seqB[i] == 'A') || (seqB[i] == 'C'))) ok = 1;
491 else if ((seqB[i] == 'M') && ((seqA[i] == 'A') || (seqA[i] == 'C'))) ok = 1;
492 else if ((seqA[i] == 'K') && ((seqB[i] == 'T') || (seqB[i] == 'G'))) ok = 1;
493 else if ((seqB[i] == 'K') && ((seqA[i] == 'T') || (seqA[i] == 'G'))) ok = 1;
494 else if ((seqA[i] == 'V') && ((seqB[i] == 'C') || (seqB[i] == 'A') || (seqB[i] == 'G'))) ok = 1;
495 else if ((seqB[i] == 'V') && ((seqA[i] == 'C') || (seqA[i] == 'A') || (seqA[i] == 'G'))) ok = 1;
496 else if ((seqA[i] == 'H') && ((seqB[i] == 'T') || (seqB[i] == 'A') || (seqB[i] == 'C'))) ok = 1;
497 else if ((seqB[i] == 'H') && ((seqA[i] == 'T') || (seqA[i] == 'A') || (seqA[i] == 'C'))) ok = 1;
498 else if ((seqA[i] == 'D') && ((seqB[i] == 'T') || (seqB[i] == 'A') || (seqB[i] == 'G'))) ok = 1;
499 else if ((seqB[i] == 'D') && ((seqA[i] == 'T') || (seqA[i] == 'A') || (seqA[i] == 'G'))) ok = 1;
500 else if ((seqA[i] == 'B') && ((seqB[i] == 'C') || (seqB[i] == 'T') || (seqB[i] == 'G'))) ok = 1;
501 else if ((seqB[i] == 'B') && ((seqA[i] == 'C') || (seqA[i] == 'T') || (seqA[i] == 'G'))) ok = 1;
502 else ok = 0; /* the bases are different and not equivalent */
504 //check if they are both blanks
505 if ((seqA[i] == '.') && (seqB[i] == '-')) ok = 1;
506 else if ((seqB[i] == '.') && (seqA[i] == '-')) ok = 1;
508 if (ok == 0) { numDiff++; }
516 catch(exception& e) {
517 errorOut(e, "Ccode", "getDiff");
521 //***************************************************************************************************************
522 //tried to make this look most like ccode original implementation
523 void Ccode::removeBadReferenceSeqs(vector<SeqDist>& seqs, int query) {
526 vector< vector<int> > numDiffBases;
527 numDiffBases.resize(seqs.size());
529 for (int i = 0; i < numDiffBases.size(); i++) { numDiffBases[i].resize(seqs.size(),0); }
531 it = trim[query].begin();
532 int length = it->second - it->first;
534 //calc differences from each sequence to everyother seq in the set
535 for (int i = 0; i < seqs.size(); i++) {
537 string seqA = seqs[i].seq->getAligned().substr(it->first, length);
539 //so you don't calc i to j and j to i since they are the same
540 for (int j = 0; j < i; j++) {
542 string seqB = seqs[j].seq->getAligned().substr(it->first, length);
545 int numDiff = getDiff(seqA, seqB);
547 numDiffBases[i][j] = numDiff;
548 numDiffBases[j][i] = numDiff;
552 //initailize remove to 0
553 vector<int> remove; remove.resize(seqs.size(), 0);
554 float top = ((20*length) / (float) 100);
555 float bottom = ((0.5*length) / (float) 100);
557 //check each numDiffBases and if any are higher than threshold set remove to 1 so you can remove those seqs from the closest set
558 for (int i = 0; i < numDiffBases.size(); i++) {
559 for (int j = 0; j < i; j++) {
560 //are you more than 20% different
561 if (numDiffBases[i][j] > top) { remove[j] = 1; }
562 //are you less than 0.5% different
563 if (numDiffBases[i][j] < bottom) { remove[j] = 1; }
569 //count seqs that are not going to be removed
570 for (int i = 0; i < remove.size(); i++) {
571 if (remove[i] == 0) { numSeqsLeft++; }
574 //if you have enough then remove bad ones
575 if (numSeqsLeft >= 3) {
576 vector<SeqDist> goodSeqs;
578 for (int i = 0; i < remove.size(); i++) {
579 if (remove[i] == 0) {
580 goodSeqs.push_back(seqs[i]);
586 }else { //warn, but dont remove any
587 mothurOut(querySeqs[query]->getName() + " does not have an adaquate number of reference sequences that are within 20% and 0.5% similarity. I will continue, but please check."); mothurOutEndLine();
592 catch(exception& e) {
593 errorOut(e, "Ccode", "removeBadReferenceSeqs");
597 //***************************************************************************************************************
598 vector< vector<SeqDist> > Ccode::findClosest(int start, int end, int numWanted) {
601 vector< vector<SeqDist> > topMatches; topMatches.resize(querySeqs.size());
603 float smallestOverall, smallestLeft, smallestRight;
604 smallestOverall = 1000; smallestLeft = 1000; smallestRight = 1000;
606 //for each sequence in querySeqs - find top matches to use as reference
607 for(int j = start; j < end; j++){
609 Sequence query = *(querySeqs[j]);
611 vector<SeqDist> distances;
613 //calc distance to each sequence in template seqs
614 for (int i = 0; i < templateSeqs.size(); i++) {
616 Sequence ref = *(templateSeqs[i]);
619 distCalc->calcDist(query, ref);
620 float dist = distCalc->getDist();
624 temp.seq = templateSeqs[i];
627 distances.push_back(temp);
630 sort(distances.begin(), distances.end(), compareSeqDist);
632 //save the number of top matches wanted
633 for (int h = 0; h < numWanted; h++) {
634 topMatches[j].push_back(distances[h]);
641 catch(exception& e) {
642 errorOut(e, "Ccode", "findClosestSides");
646 /**************************************************************************************************/
647 //find the distances from each reference sequence to every other reference sequence for each window for this query
648 void Ccode::getAverageRef(vector<SeqDist> ref, int query) {
651 vector< vector< vector<int> > > diffs; //diffs[0][1][2] is the number of differences between ref seq 0 and ref seq 1 at window 2.
653 //initialize diffs vector
654 diffs.resize(ref.size());
655 for (int i = 0; i < diffs.size(); i++) {
656 diffs[i].resize(ref.size());
657 for (int j = 0; j < diffs[i].size(); j++) {
658 diffs[i][j].resize(windows[query].size(), 0);
662 it = trim[query].begin();
664 //find the distances from each reference sequence to every other reference sequence for each window for this query
665 for (int i = 0; i < ref.size(); i++) {
667 string refI = ref[i].seq->getAligned();
669 //j<i, so you don't find distances from i to j and then j to i.
670 for (int j = 0; j < i; j++) {
672 string refJ = ref[j].seq->getAligned();
674 for (int k = 0; k < windows[query].size(); k++) {
676 string refIWindowk, refJWindowk;
678 if (k < windows[query].size()-1) {
680 refIWindowk = refI.substr(windows[query][k], windowSizes[query]);
681 refJWindowk = refJ.substr(windows[query][k], windowSizes[query]);
682 }else { //last window may be smaller than rest - see findwindows
684 refIWindowk = refI.substr(windows[query][k], (it->second-windows[query][k]));
685 refJWindowk = refJ.substr(windows[query][k], (it->second-windows[query][k]));
689 int diff = getDiff(refIWindowk, refJWindowk);
690 //cout << i << '\t' << j << '\t' << k << '\t' << diff << endl;
691 //save differences in [i][j][k] and [j][i][k] since they are the same
692 diffs[i][j][k] = diff;
693 diffs[j][i][k] = diff;
701 //initialize sumRef for this query
702 sumRef[query].resize(windows[query].size(), 0);
703 sumSquaredRef[query].resize(windows[query].size(), 0);
704 averageRef[query].resize(windows[query].size(), 0);
706 //find the sum of the differences for hte reference sequences
707 for (int i = 0; i < diffs.size(); i++) {
708 for (int j = 0; j < i; j++) {
710 //increment this querys reference sequences combos
713 for (int k = 0; k < diffs[i][j].size(); k++) {
714 sumRef[query][k] += diffs[i][j][k];
715 sumSquaredRef[query][k] += (diffs[i][j][k]*diffs[i][j][k]);
722 //find the average of the differences for the references for each window
723 for (int i = 0; i < windows[query].size(); i++) {
724 averageRef[query][i] = sumRef[query][i] / (float) refCombo[query];
728 catch(exception& e) {
729 errorOut(e, "Ccode", "getAverageRef");
733 /**************************************************************************************************/
734 void Ccode::getAverageQuery (vector<SeqDist> ref, int query) {
737 vector< vector<int> > diffs; //diffs[1][2] is the number of differences between querySeqs[query] and ref seq 1 at window 2.
739 //initialize diffs vector
740 diffs.resize(ref.size());
741 for (int j = 0; j < diffs.size(); j++) {
742 diffs[j].resize(windows[query].size(), 0);
745 it = trim[query].begin();
747 string refQuery = querySeqs[query]->getAligned();
749 //j<i, so you don't find distances from i to j and then j to i.
750 for (int j = 0; j < ref.size(); j++) {
752 string refJ = ref[j].seq->getAligned();
754 for (int k = 0; k < windows[query].size(); k++) {
756 string QueryWindowk, refJWindowk;
758 if (k < windows[query].size()-1) {
760 QueryWindowk = refQuery.substr(windows[query][k], windowSizes[query]);
761 refJWindowk = refJ.substr(windows[query][k], windowSizes[query]);
762 }else { //last window may be smaller than rest - see findwindows
764 QueryWindowk = refQuery.substr(windows[query][k], (it->second-windows[query][k]));
765 refJWindowk = refJ.substr(windows[query][k], (it->second-windows[query][k]));
769 int diff = getDiff(QueryWindowk, refJWindowk);
770 //cout << j << '\t' << k << '\t' << diff << endl;
778 //initialize sumRef for this query
779 sumQuery[query].resize(windows[query].size(), 0);
780 sumSquaredQuery[query].resize(windows[query].size(), 0);
781 averageQuery[query].resize(windows[query].size(), 0);
783 //find the sum of the differences
784 for (int j = 0; j < diffs.size(); j++) {
785 for (int k = 0; k < diffs[j].size(); k++) {
786 sumQuery[query][k] += diffs[j][k];
787 sumSquaredQuery[query][k] += (diffs[j][k]*diffs[j][k]);
792 //find the average of the differences for the references for each window
793 for (int i = 0; i < windows[query].size(); i++) {
794 averageQuery[query][i] = sumQuery[query][i] / (float) ref.size();
799 catch(exception& e) {
800 errorOut(e, "Ccode", "getAverageQuery");
804 /**************************************************************************************************/
805 void Ccode::findVarianceRef (int query) {
808 varRef[query].resize(windows[query].size(), 0);
809 sdRef[query].resize(windows[query].size(), 0);
812 for (int i = 0; i < windows[query].size(); i++) {
813 varRef[query][i] = (sumSquaredRef[query][i] - ((sumRef[query][i]*sumRef[query][i])/(float)refCombo[query])) / (float)(refCombo[query]-1);
814 sdRef[query][i] = sqrt(varRef[query][i]);
816 //set minimum error rate to 0.001 - to avoid potential divide by zero - not sure if this is necessary but it follows ccode implementation
817 if (averageRef[query][i] < 0.001) { averageRef[query][i] = 0.001; }
818 if (sumRef[query][i] < 0.001) { sumRef[query][i] = 0.001; }
819 if (varRef[query][i] < 0.001) { varRef[query][i] = 0.001; }
820 if (sumSquaredRef[query][i] < 0.001) { sumSquaredRef[query][i] = 0.001; }
821 if (sdRef[query][i] < 0.001) { sdRef[query][i] = 0.001; }
825 catch(exception& e) {
826 errorOut(e, "Ccode", "findVarianceRef");
830 /**************************************************************************************************/
831 void Ccode::findVarianceQuery (int query) {
833 varQuery[query].resize(windows[query].size(), 0);
834 sdQuery[query].resize(windows[query].size(), 0);
837 for (int i = 0; i < windows[query].size(); i++) {
838 varQuery[query][i] = (sumSquaredQuery[query][i] - ((sumQuery[query][i]*sumQuery[query][i])/(float) closest[query].size())) / (float) (closest[query].size()-1);
839 sdQuery[query][i] = sqrt(varQuery[query][i]);
841 //set minimum error rate to 0.001 - to avoid potential divide by zero - not sure if this is necessary but it follows ccode implementation
842 if (averageQuery[query][i] < 0.001) { averageQuery[query][i] = 0.001; }
843 if (sumQuery[query][i] < 0.001) { sumQuery[query][i] = 0.001; }
844 if (varQuery[query][i] < 0.001) { varQuery[query][i] = 0.001; }
845 if (sumSquaredQuery[query][i] < 0.001) { sumSquaredQuery[query][i] = 0.001; }
846 if (sdQuery[query][i] < 0.001) { sdQuery[query][i] = 0.001; }
850 catch(exception& e) {
851 errorOut(e, "Ccode", "findVarianceQuery");
855 /**************************************************************************************************/
856 void Ccode::determineChimeras (int query) {
859 isChimericConfidence[query].resize(windows[query].size(), false);
860 isChimericTStudent[query].resize(windows[query].size(), false);
861 isChimericANOVA[query].resize(windows[query].size(), false);
862 anova[query].resize(windows[query].size());
866 for (int i = 0; i < windows[query].size(); i++) {
868 //get confidence limits
869 float t = getT(closest[query].size()-1); //how many seqs you are comparing to this querySeq
870 float dsUpper = (averageQuery[query][i] + (t * sdQuery[query][i])) / averageRef[query][i];
871 float dsLower = (averageQuery[query][i] - (t * sdQuery[query][i])) / averageRef[query][i];
872 //cout << t << '\t' << "ds upper = " << dsUpper << " dsLower = " << dsLower << endl;
873 if ((dsUpper > 1.0) && (dsLower > 1.0) && (averageQuery[query][i] > averageRef[query][i])) { /* range does not include 1 */
874 isChimericConfidence[query][i] = true; /* significantly higher at P<0.05 */
875 //cout << i << " made it here" << endl;
879 int degreeOfFreedom = refCombo[query] + closest[query].size() - 2;
880 float denomForT = (((refCombo[query]-1) * varQuery[query][i] + (closest[query].size() - 1) * varRef[query][i]) / (float) degreeOfFreedom) * ((refCombo[query] + closest[query].size()) / (float) (refCombo[query] * closest[query].size())); /* denominator, without sqrt(), for ts calculations */
882 float ts = fabs((averageQuery[query][i] - averageRef[query][i]) / (sqrt(denomForT))); /* value of ts for t-student test */
883 t = getT(degreeOfFreedom);
884 //cout << i << '\t' << t << '\t' << ts << endl;
885 if ((ts >= t) && (averageQuery[query][i] > averageRef[query][i])) {
886 isChimericTStudent[query][i] = true; /* significantly higher at P<0.05 */
890 float value1 = sumQuery[query][i] + sumRef[query][i];
891 float value2 = sumSquaredQuery[query][i] + sumSquaredRef[query][i];
892 float value3 = ((sumQuery[query][i]*sumQuery[query][i]) / (float) (closest[query].size())) + ((sumRef[query][i] * sumRef[query][i]) / (float) refCombo[query]);
893 float value4 = (value1 * value1) / ( (float) (closest[query].size() + refCombo[query]) );
894 float value5 = value2 - value4;
895 float value6 = value3 - value4;
896 float value7 = value5 - value6;
897 float value8 = value7 / ((float) degreeOfFreedom);
898 float anovaValue = value6 / value8;
900 float f = getF(degreeOfFreedom);
902 if ((anovaValue >= f) && (averageQuery[query][i] > averageRef[query][i])) {
903 isChimericANOVA[query][i] = true; /* significant P<0.05 */
906 if (isnan(anovaValue) || isinf(anovaValue)) { anovaValue = 0.0; }
908 anova[query][i] = anovaValue;
912 catch(exception& e) {
913 errorOut(e, "Ccode", "determineChimeras");
917 /**************************************************************************************************/
918 float Ccode::getT(int numseq) {
923 /* t-student critical values for different degrees of freedom and alpha 0.1 in one-tail tests (equivalent to 0.05) */
924 if (numseq > 120) tvalue = 1.645;
925 else if (numseq > 60) tvalue = 1.658;
926 else if (numseq > 40) tvalue = 1.671;
927 else if (numseq > 30) tvalue = 1.684;
928 else if (numseq > 29) tvalue = 1.697;
929 else if (numseq > 28) tvalue = 1.699;
930 else if (numseq > 27) tvalue = 1.701;
931 else if (numseq > 26) tvalue = 1.703;
932 else if (numseq > 25) tvalue = 1.706;
933 else if (numseq > 24) tvalue = 1.708;
934 else if (numseq > 23) tvalue = 1.711;
935 else if (numseq > 22) tvalue = 1.714;
936 else if (numseq > 21) tvalue = 1.717;
937 else if (numseq > 20) tvalue = 1.721;
938 else if (numseq > 19) tvalue = 1.725;
939 else if (numseq > 18) tvalue = 1.729;
940 else if (numseq > 17) tvalue = 1.734;
941 else if (numseq > 16) tvalue = 1.740;
942 else if (numseq > 15) tvalue = 1.746;
943 else if (numseq > 14) tvalue = 1.753;
944 else if (numseq > 13) tvalue = 1.761;
945 else if (numseq > 12) tvalue = 1.771;
946 else if (numseq > 11) tvalue = 1.782;
947 else if (numseq > 10) tvalue = 1.796;
948 else if (numseq > 9) tvalue = 1.812;
949 else if (numseq > 8) tvalue = 1.833;
950 else if (numseq > 7) tvalue = 1.860;
951 else if (numseq > 6) tvalue = 1.895;
952 else if (numseq > 5) tvalue = 1.943;
953 else if (numseq > 4) tvalue = 2.015;
954 else if (numseq > 3) tvalue = 2.132;
955 else if (numseq > 2) tvalue = 2.353;
956 else if (numseq > 1) tvalue = 2.920;
957 else if (numseq <= 1) {
958 mothurOut("Two or more reference sequences are required, your data will be flawed.\n"); mothurOutEndLine();
963 catch(exception& e) {
964 errorOut(e, "Ccode", "getT");
968 /**************************************************************************************************/
969 float Ccode::getF(int numseq) {
974 /* F-Snedecor critical values for v1=1 and different degrees of freedom v2 and alpha 0.05 */
975 if (numseq > 120) fvalue = 3.84;
976 else if (numseq > 60) fvalue = 3.92;
977 else if (numseq > 40) fvalue = 4.00;
978 else if (numseq > 30) fvalue = 4.08;
979 else if (numseq > 29) fvalue = 4.17;
980 else if (numseq > 28) fvalue = 4.18;
981 else if (numseq > 27) fvalue = 4.20;
982 else if (numseq > 26) fvalue = 4.21;
983 else if (numseq > 25) fvalue = 4.23;
984 else if (numseq > 24) fvalue = 4.24;
985 else if (numseq > 23) fvalue = 4.26;
986 else if (numseq > 22) fvalue = 4.28;
987 else if (numseq > 21) fvalue = 4.30;
988 else if (numseq > 20) fvalue = 4.32;
989 else if (numseq > 19) fvalue = 4.35;
990 else if (numseq > 18) fvalue = 4.38;
991 else if (numseq > 17) fvalue = 4.41;
992 else if (numseq > 16) fvalue = 4.45;
993 else if (numseq > 15) fvalue = 4.49;
994 else if (numseq > 14) fvalue = 4.54;
995 else if (numseq > 13) fvalue = 4.60;
996 else if (numseq > 12) fvalue = 4.67;
997 else if (numseq > 11) fvalue = 4.75;
998 else if (numseq > 10) fvalue = 4.84;
999 else if (numseq > 9) fvalue = 4.96;
1000 else if (numseq > 8) fvalue = 5.12;
1001 else if (numseq > 7) fvalue = 5.32;
1002 else if (numseq > 6) fvalue = 5.59;
1003 else if (numseq > 5) fvalue = 5.99;
1004 else if (numseq > 4) fvalue = 6.61;
1005 else if (numseq > 3) fvalue = 7.71;
1006 else if (numseq > 2) fvalue = 10.1;
1007 else if (numseq > 1) fvalue = 18.5;
1008 else if (numseq > 0) fvalue = 161;
1009 else if (numseq <= 0) {
1010 mothurOut("Two or more reference sequences are required, your data will be flawed.\n"); mothurOutEndLine();
1015 catch(exception& e) {
1016 errorOut(e, "Ccode", "getF");
1021 /**************************************************************************************************/
1022 void Ccode::createProcessesClosest() {
1024 #if defined (__APPLE__) || (__MACH__) || (linux) || (__linux)
1026 vector<int> processIDS;
1028 //loop through and create all the processes you want
1029 while (process != processors) {
1033 processIDS.push_back(pid);
1035 }else if (pid == 0){
1037 mothurOut("Finding top matches for sequences " + toString(lines[process]->start) + " to " + toString(lines[process]->end)); mothurOutEndLine();
1038 closest = findClosest(lines[process]->start, lines[process]->end, numWanted);
1039 mothurOut("Done finding top matches for sequences " + toString(lines[process]->start) + " to " + toString(lines[process]->end)); mothurOutEndLine();
1041 //write out data to file so parent can read it
1043 string s = toString(getpid()) + ".temp";
1044 openOutputFile(s, out);
1047 for (int i = lines[process]->start; i < lines[process]->end; i++) {
1048 for (int j = 0; j < closest[i].size(); j++) {
1049 closest[i][j].seq->printSequence(out);
1052 out << ">" << endl; //to stop sequence read
1054 for (int i = lines[process]->start; i < lines[process]->end; i++) {
1055 for (int j = 0; j < closest[i].size(); j++) {
1056 out << closest[i][j].dist << '\t';
1062 }else { mothurOut("unable to spawn the necessary processes."); mothurOutEndLine(); exit(0); }
1065 //force parent to wait until all the processes are done
1066 for (int i=0;i<processors;i++) {
1067 int temp = processIDS[i];
1071 //get data created by processes
1072 for (int i=0;i<processors;i++) {
1074 string s = toString(processIDS[i]) + ".temp";
1075 openInputFile(s, in);
1077 vector< vector<Sequence*> > tempClosest; tempClosest.resize(querySeqs.size());
1079 for (int k = lines[i]->start; k < lines[i]->end; k++) {
1080 vector<Sequence*> tempVector;
1082 for (int j = 0; j < numWanted; j++) {
1084 Sequence* temp = new Sequence(in);
1087 tempVector.push_back(temp);
1090 tempClosest[k] = tempVector;
1094 in >> junk; gobble(in); // to get ">"
1096 vector< vector<float> > dists; dists.resize(querySeqs.size());
1098 for (int k = lines[i]->start; k < lines[i]->end; k++) {
1099 dists[k].resize(numWanted);
1100 for (int j = 0; j < numWanted; j++) {
1107 for (int k = lines[i]->start; k < lines[i]->end; k++) {
1108 closest[k].resize(numWanted);
1109 for (int j = 0; j < closest[k].size(); j++) {
1110 closest[k][j].seq = tempClosest[k][j];
1111 closest[k][j].dist = dists[k][j];
1121 closest = findClosest(lines[0]->start, lines[0]->end, numWanted);
1125 catch(exception& e) {
1126 errorOut(e, "Ccode", "createProcessesClosest");
1131 //***************************************************************************************************************
1132 void Ccode::createProcessesRemoveBad() {
1134 #if defined (__APPLE__) || (__MACH__) || (linux) || (__linux)
1136 vector<int> processIDS;
1138 //loop through and create all the processes you want
1139 while (process != processors) {
1143 processIDS.push_back(pid);
1145 }else if (pid == 0){
1147 for (int i = lines[process]->start; i < lines[process]->end; i++) {
1148 removeBadReferenceSeqs(closest[i], i);
1151 //write out data to file so parent can read it
1153 string s = toString(getpid()) + ".temp";
1154 openOutputFile(s, out);
1157 for (int i = lines[process]->start; i < lines[process]->end; i++) {
1158 out << closest[i].size() << endl;
1159 for (int j = 0; j < closest[i].size(); j++) {
1160 closest[i][j].seq->printSequence(out);
1162 out << ">" << endl; //to stop sequence read
1165 for (int i = lines[process]->start; i < lines[process]->end; i++) {
1166 for (int j = 0; j < closest[i].size(); j++) {
1167 out << closest[i][j].dist << '\t';
1175 }else { mothurOut("unable to spawn the necessary processes."); mothurOutEndLine(); exit(0); }
1178 //force parent to wait until all the processes are done
1179 for (int i=0;i<processors;i++) {
1180 int temp = processIDS[i];
1184 //get data created by processes
1185 for (int i=0;i<processors;i++) {
1187 string s = toString(processIDS[i]) + ".temp";
1188 openInputFile(s, in);
1190 vector< vector<Sequence*> > tempClosest; tempClosest.resize(querySeqs.size());
1193 for (int k = lines[i]->start; k < lines[i]->end; k++) {
1197 sizes.push_back(num);
1200 vector<Sequence*> tempVector;
1202 for (int j = 0; j < num; j++) {
1204 Sequence* temp = new Sequence(in);
1207 tempVector.push_back(temp);
1210 in >> junk; gobble(in); // to get ">"
1212 tempClosest[k] = tempVector;
1215 vector< vector<float> > dists; dists.resize(querySeqs.size());
1217 for (int k = lines[i]->start; k < lines[i]->end; k++) {
1218 dists[k].resize(sizes[count]);
1219 for (int j = 0; j < sizes[count]; j++) {
1227 for (int k = lines[i]->start; k < lines[i]->end; k++) {
1228 for (int j = 0; j < sizes[count]; j++) {
1229 closest[k][j].seq = tempClosest[k][j];
1230 closest[k][j].dist = dists[k][j];
1239 for (int i = 0; i < closest.size(); i++) {
1240 removeBadReferenceSeqs(closest[i], i);
1245 catch(exception& e) {
1246 errorOut(e, "Ccode", "createProcessesRemoveBad");
1250 //***************************************************************************************************************
1251 void Ccode::createProcessesAverages() {
1253 #if defined (__APPLE__) || (__MACH__) || (linux) || (__linux)
1255 vector<int> processIDS;
1257 //loop through and create all the processes you want
1258 while (process != processors) {
1262 processIDS.push_back(pid);
1264 }else if (pid == 0){
1266 //find the averages for each querys references
1267 for (int i = lines[process]->start; i < lines[process]->end; i++) {
1268 getAverageRef(closest[i], i); //fills sumRef[i], averageRef[i], sumSquaredRef[i] and refCombo[i].
1271 //find the averages for the query
1272 for (int i = lines[process]->start; i < lines[process]->end; i++) {
1273 getAverageQuery(closest[i], i); //fills sumQuery[i], averageQuery[i], sumSquaredQuery[i].
1277 //write out data to file so parent can read it
1279 string s = toString(getpid()) + ".temp";
1280 openOutputFile(s, out);
1283 for (int i = lines[process]->start; i < lines[process]->end; i++) {
1284 for (int j = 0; j < windows[i].size(); j++) {
1285 out << sumRef[i][j] << '\t';
1288 for (int j = 0; j < windows[i].size(); j++) {
1289 out << averageRef[i][j] << '\t';
1292 for (int j = 0; j < windows[i].size(); j++) {
1293 out << sumSquaredRef[i][j] << '\t';
1296 for (int j = 0; j < windows[i].size(); j++) {
1297 out << sumQuery[i][j] << '\t';
1300 for (int j = 0; j < windows[i].size(); j++) {
1301 out << averageQuery[i][j] << '\t';
1304 for (int j = 0; j < windows[i].size(); j++) {
1305 out << sumSquaredQuery[i][j] << '\t';
1308 out << refCombo[i] << endl;
1314 }else { mothurOut("unable to spawn the necessary processes."); mothurOutEndLine(); exit(0); }
1317 //force parent to wait until all the processes are done
1318 for (int i=0;i<processors;i++) {
1319 int temp = processIDS[i];
1323 //get data created by processes
1324 for (int i=0;i<processors;i++) {
1326 string s = toString(processIDS[i]) + ".temp";
1327 openInputFile(s, in);
1330 for (int k = lines[i]->start; k < lines[i]->end; k++) {
1331 sumRef[k].resize(windows[k].size());
1332 averageRef[k].resize(windows[k].size());
1333 sumSquaredRef[k].resize(windows[k].size());
1334 averageQuery[k].resize(windows[k].size());
1335 sumQuery[k].resize(windows[k].size());
1336 sumSquaredQuery[k].resize(windows[k].size());
1338 for (int j = 0; j < windows[k].size(); j++) {
1342 for (int j = 0; j < windows[k].size(); j++) {
1343 in >> averageRef[k][j];
1346 for (int j = 0; j < windows[k].size(); j++) {
1347 in >> sumSquaredRef[k][j];
1350 for (int j = 0; j < windows[k].size(); j++) {
1351 in >> sumQuery[k][j];
1354 for (int j = 0; j < windows[k].size(); j++) {
1355 in >> averageQuery[k][j];
1358 for (int j = 0; j < windows[k].size(); j++) {
1359 in >> sumSquaredQuery[k][j];
1370 //find the averages for each querys references
1371 for (int i = 0; i < querySeqs.size(); i++) {
1372 getAverageRef(closest[i], i); //fills sumRef[i], averageRef[i], sumSquaredRef[i] and refCombo[i].
1375 //find the averages for the query
1376 for (int i = 0; i < querySeqs.size(); i++) {
1377 getAverageQuery(closest[i], i); //fills sumQuery[i], averageQuery[i], sumSquaredQuery[i].
1383 catch(exception& e) {
1384 errorOut(e, "Ccode", "createProcessesAverages");
1388 //***************************************************************************************************************
1389 void Ccode::createProcessesVariances() {
1391 #if defined (__APPLE__) || (__MACH__) || (linux) || (__linux)
1393 vector<int> processIDS;
1395 //loop through and create all the processes you want
1396 while (process != processors) {
1400 processIDS.push_back(pid);
1402 }else if (pid == 0){
1404 //find the averages for each querys references
1405 for (int i = lines[process]->start; i < lines[process]->end; i++) {
1406 findVarianceRef(i); //fills varRef[i] and sdRef[i] also sets minimum error rate to 0.001 to avoid divide by 0.
1409 //find the averages for the query
1410 for (int i = lines[process]->start; i < lines[process]->end; i++) {
1411 findVarianceQuery(i); //fills varQuery[i] and sdQuery[i] also sets minimum error rate to 0.001 to avoid divide by 0.
1415 //write out data to file so parent can read it
1417 string s = toString(getpid()) + ".temp";
1418 openOutputFile(s, out);
1421 for (int i = lines[process]->start; i < lines[process]->end; i++) {
1422 for (int j = 0; j < windows[i].size(); j++) {
1423 out << varRef[i][j] << '\t';
1426 for (int j = 0; j < windows[i].size(); j++) {
1427 out << sdRef[i][j] << '\t';
1430 for (int j = 0; j < windows[i].size(); j++) {
1431 out << varQuery[i][j] << '\t';
1434 for (int j = 0; j < windows[i].size(); j++) {
1435 out << sdQuery[i][j] << '\t';
1443 }else { mothurOut("unable to spawn the necessary processes."); mothurOutEndLine(); exit(0); }
1446 //force parent to wait until all the processes are done
1447 for (int i=0;i<processors;i++) {
1448 int temp = processIDS[i];
1452 //get data created by processes
1453 for (int i=0;i<processors;i++) {
1455 string s = toString(processIDS[i]) + ".temp";
1456 openInputFile(s, in);
1459 for (int k = lines[i]->start; k < lines[i]->end; k++) {
1460 varRef[k].resize(windows[k].size());
1461 sdRef[k].resize(windows[k].size());
1462 varQuery[k].resize(windows[k].size());
1463 sdQuery[k].resize(windows[k].size());
1465 for (int j = 0; j < windows[k].size(); j++) {
1469 for (int j = 0; j < windows[k].size(); j++) {
1473 for (int j = 0; j < windows[k].size(); j++) {
1474 in >> varQuery[k][j];
1477 for (int j = 0; j < windows[k].size(); j++) {
1478 in >> sdQuery[k][j];
1487 //find the averages for each querys references
1488 for (int i = 0; i < querySeqs.size(); i++) {
1489 findVarianceRef(i); //fills varRef[i] and sdRef[i] also sets minimum error rate to 0.001 to avoid divide by 0.
1492 //find the averages for the query
1493 for (int i = 0; i < querySeqs.size(); i++) {
1494 findVarianceQuery(i); //fills varQuery[i] and sdQuery[i] also sets minimum error rate to 0.001 to avoid divide by 0.
1498 catch(exception& e) {
1499 errorOut(e, "Ccode", "createProcessesVariances");
1503 //***************************************************************************************************************
1504 void Ccode::createProcessesDetermine() {
1506 #if defined (__APPLE__) || (__MACH__) || (linux) || (__linux)
1508 vector<int> processIDS;
1510 //loop through and create all the processes you want
1511 while (process != processors) {
1515 processIDS.push_back(pid);
1517 }else if (pid == 0){
1519 //find the averages for each querys references
1520 for (int i = lines[process]->start; i < lines[process]->end; i++) {
1521 determineChimeras(i); //fills anova, isChimericConfidence[i], isChimericTStudent[i] and isChimericANOVA[i].
1524 //write out data to file so parent can read it
1526 string s = toString(getpid()) + ".temp";
1527 openOutputFile(s, out);
1530 for (int i = lines[process]->start; i < lines[process]->end; i++) {
1531 for (int j = 0; j < windows[i].size(); j++) {
1532 out << anova[i][j] << '\t';
1535 for (int j = 0; j < windows[i].size(); j++) {
1536 out << isChimericConfidence[i][j] << '\t';
1539 for (int j = 0; j < windows[i].size(); j++) {
1540 out << isChimericTStudent[i][j] << '\t';
1543 for (int j = 0; j < windows[i].size(); j++) {
1544 out << isChimericANOVA[i][j] << '\t';
1552 }else { mothurOut("unable to spawn the necessary processes."); mothurOutEndLine(); exit(0); }
1555 //force parent to wait until all the processes are done
1556 for (int i=0;i<processors;i++) {
1557 int temp = processIDS[i];
1561 //get data created by processes
1562 for (int i=0;i<processors;i++) {
1564 string s = toString(processIDS[i]) + ".temp";
1565 openInputFile(s, in);
1568 for (int k = lines[i]->start; k < lines[i]->end; k++) {
1569 anova[k].resize(windows[k].size());
1570 isChimericConfidence[k].resize(windows[k].size(), false);
1571 isChimericTStudent[k].resize(windows[k].size(), false);
1572 isChimericANOVA[k].resize(windows[k].size(), false);
1575 for (int j = 0; j < windows[k].size(); j++) {
1579 for (int j = 0; j < windows[k].size(); j++) {
1581 if (tempBool == 1) { isChimericConfidence[k][j] = true; }
1584 for (int j = 0; j < windows[k].size(); j++) {
1586 if (tempBool == 1) { isChimericTStudent[k][j] = true; }
1589 for (int j = 0; j < windows[k].size(); j++) {
1591 if (tempBool == 1) { isChimericANOVA[k][j] = true; }
1600 for (int i = 0; i < querySeqs.size(); i++) {
1601 determineChimeras(i); //fills anova, isChimericConfidence[i], isChimericTStudent[i] and isChimericANOVA[i].
1606 catch(exception& e) {
1607 errorOut(e, "Ccode", "createProcessesDetermine");
1611 //***************************************************************************************************************