try {
vector<float> prob;
- string freqfile = getRootName(filename) + "freq";
+ string freqfile = m->getRootName(filename) + "freq";
ofstream outFreq;
- openOutputFile(freqfile, outFreq);
+ m->openOutputFile(freqfile, outFreq);
+
+ outFreq << "#" << m->getVersion() << endl;
string length = toString(seqs.size()); //if there are 5000 seqs in the template then set precision to 3
int precision = length.length() - 1;
}
//***************************************************************************************************************
//seqs have already been masked
-vector< vector<quanMember> > DeCalculator::getQuantiles(vector<Sequence*> seqs, vector<int> windowSizesTemplate, int window, vector<float> probProfile, int increment, int start, int end) {
+vector< vector<float> > DeCalculator::getQuantiles(vector<Sequence*> seqs, vector<int> windowSizesTemplate, int window, vector<float> probProfile, int increment, int start, int end) {
try {
- vector< vector<quanMember> > quan;
+ vector< vector<float> > quan;
//percentage of mismatched pairs 1 to 100
quan.resize(100);
//cout << i << '\t' << j << '\t' << dist << '\t' << de << endl;
dist = ceil(dist);
- quanMember newScore(de, i, j);
+ //quanMember newScore(de, i, j);
- quan[dist].push_back(newScore);
+ quan[dist].push_back(de);
delete subject;
}
}
//***************************************************************************************************************
//this was going to be used by pintail to increase the sensitivity of the chimera detection, but it wasn't quite right. may want to revisit in the future...
-void DeCalculator::removeObviousOutliers(vector< vector<quanMember> >& quantiles, int num) {
+void DeCalculator::removeObviousOutliers(vector< vector<float> >& quantiles, int num) {
try {
for (int i = 0; i < quantiles.size(); i++) {
//find mean of this quantile score
- sort(quantiles[i].begin(), quantiles[i].end(), compareQuanMembers);
+ sort(quantiles[i].begin(), quantiles[i].end());
- vector<quanMember> temp;
+ vector<float> temp;
if (quantiles[i].size() != 0) {
- float high = quantiles[i][int(quantiles[i].size() * 0.99)].score;
- float low = quantiles[i][int(quantiles[i].size() * 0.01)].score;
+ float high = quantiles[i][int(quantiles[i].size() * 0.99)];
+ float low = quantiles[i][int(quantiles[i].size() * 0.01)];
//look at each value in quantiles to see if it is an outlier
for (int j = 0; j < quantiles[i].size(); j++) {
//is this score between 1 and 99%
- if ((quantiles[i][j].score > low) && (quantiles[i][j].score < high)) {
+ if ((quantiles[i][j] > low) && (quantiles[i][j] < high)) {
temp.push_back(quantiles[i][j]);
}
}
indexes.clear();
vector<Sequence*> seqsMatches;
+
vector<SeqDist> distsLeft;
vector<SeqDist> distsRight;
float distRight = distcalculator->getDist();
SeqDist subjectLeft;
- subjectLeft.seq = db[j];
+ subjectLeft.seq = NULL;
subjectLeft.dist = distLeft;
subjectLeft.index = j;
distsLeft.push_back(subjectLeft);
SeqDist subjectRight;
- subjectRight.seq = db[j];
+ subjectRight.seq = NULL;
subjectRight.dist = distRight;
subjectRight.index = j;
int lasti = 0;
for (int i = 0; i < distsLeft.size(); i++) {
//add left if you havent already
- it = seen.find(distsLeft[i].seq->getName());
+ it = seen.find(db[distsLeft[i].index]->getName());
if (it == seen.end()) {
dists.push_back(distsLeft[i]);
- seen[distsLeft[i].seq->getName()] = distsLeft[i].seq->getName();
+ seen[db[distsLeft[i].index]->getName()] = db[distsLeft[i].index]->getName();
lastLeft = distsLeft[i].dist;
}
//add right if you havent already
- it = seen.find(distsRight[i].seq->getName());
+ it = seen.find(db[distsRight[i].index]->getName());
if (it == seen.end()) {
dists.push_back(distsRight[i]);
- seen[distsRight[i].seq->getName()] = distsRight[i].seq->getName();
+ seen[db[distsRight[i].index]->getName()] = db[distsRight[i].index]->getName();
lastRight = distsRight[i].dist;
}
//cout << numWanted << endl;
for (int i = 0; i < numWanted; i++) {
//cout << dists[i].seq->getName() << '\t' << dists[i].dist << endl;
- Sequence* temp = new Sequence(dists[i].seq->getName(), dists[i].seq->getAligned()); //have to make a copy so you can trim and filter without stepping on eachother.
+ Sequence* temp = new Sequence(db[dists[i].index]->getName(), db[dists[i].index]->getAligned()); //have to make a copy so you can trim and filter without stepping on eachother.
seqsMatches.push_back(temp);
indexes.push_back(dists[i].index);
}
//save this spot if it is the farthest
if (pos < rearPos) { rearPos = pos; }
-
- //check to make sure that is not whole seq
- if ((rearPos - frontPos - 1) <= 0) { m->mothurOut("Error, when I trim your sequences, the entire sequence is trimmed."); m->mothurOutEndLine(); exit(1); }
-//cout << query->getName() << " front = " << frontPos << " rear = " << rearPos << endl;
- //trim query
- string newAligned = query->getAligned();
- newAligned = newAligned.substr(frontPos, (rearPos-frontPos+1));
- query->setAligned(newAligned);
-
- //trim topMatches
- for (int i = 0; i < topMatches.size(); i++) {
- newAligned = topMatches[i]->getAligned();
- newAligned = newAligned.substr(frontPos, (rearPos-frontPos+1));
- topMatches[i]->setAligned(newAligned);
- }
map<int, int> trimmedPos;
-
- for (int i = 0; i < newAligned.length(); i++) {
- trimmedPos[i] = i+frontPos;
+ //check to make sure that is not whole seq
+ if ((rearPos - frontPos - 1) <= 0) {
+ m->mothurOut("[ERROR]: when I trim " + query->getName() + ", the entire sequence is trimmed. Skipping."); m->mothurOutEndLine();
+ query->setAligned("");
+ //trim topMatches
+ for (int i = 0; i < topMatches.size(); i++) {
+ topMatches[i]->setAligned("");
+ }
+
+ }else {
+
+ //trim query
+ string newAligned = query->getAligned();
+ newAligned = newAligned.substr(frontPos, (rearPos-frontPos+1));
+ query->setAligned(newAligned);
+
+ //trim topMatches
+ for (int i = 0; i < topMatches.size(); i++) {
+ newAligned = topMatches[i]->getAligned();
+ newAligned = newAligned.substr(frontPos, (rearPos-frontPos+1));
+ topMatches[i]->setAligned(newAligned);
+ }
+
+ for (int i = 0; i < newAligned.length(); i++) {
+ trimmedPos[i] = i+frontPos;
+ }
}
-
return trimmedPos;
}
catch(exception& e) {
projects / mothur.git / blobdiff