#include "clustersplitcommand.h"
-
//**********************************************************************************************************************
vector<string> ClusterSplitCommand::setParameters(){
try {
CommandParameter pprecision("precision", "Number", "", "100", "", "", "",false,false); parameters.push_back(pprecision);
CommandParameter pmethod("method", "Multiple", "furthest-nearest-average-weighted", "average", "", "", "",false,false); parameters.push_back(pmethod);
CommandParameter phard("hard", "Boolean", "", "T", "", "", "",false,false); parameters.push_back(phard);
+ CommandParameter pclassic("classic", "Boolean", "", "F", "", "", "",false,false); parameters.push_back(pclassic);
CommandParameter pinputdir("inputdir", "String", "", "", "", "", "",false,false); parameters.push_back(pinputdir);
CommandParameter poutputdir("outputdir", "String", "", "", "", "", "",false,false); parameters.push_back(poutputdir);
helpString += "The taxonomy parameter allows you to enter the taxonomy file for your sequences, this is only valid if you are using splitmethod=classify. Be sure your taxonomy file does not include the probability scores. \n";
helpString += "The taxlevel parameter allows you to specify the taxonomy level you want to use to split the distance file, default=3, meaning use the first taxon in each list. \n";
helpString += "The large parameter allows you to indicate that your distance matrix is too large to fit in RAM. The default value is false.\n";
+ helpString += "The classic parameter allows you to indicate that you want to run your files with cluster.classic. It is only valid with splitmethod=fasta. Default=f.\n";
#ifdef USE_MPI
helpString += "When using MPI, the processors parameter is set to the number of MPI processes running. \n";
#endif
temp = validParameter.validFile(parameters, "large", false); if (temp == "not found") { temp = "F"; }
large = m->isTrue(temp);
-
+
temp = validParameter.validFile(parameters, "processors", false); if (temp == "not found"){ temp = m->getProcessors(); }
m->setProcessors(temp);
m->mothurConvert(temp, processors);
else { splitmethod = temp; }
}
+ temp = validParameter.validFile(parameters, "classic", false); if (temp == "not found") { temp = "F"; }
+ classic = m->isTrue(temp);
+
+ if ((splitmethod != "fasta") && classic) { m->mothurOut("splitmethod must be fasta to use cluster.classic.\n"); abort=true; }
+
temp = validParameter.validFile(parameters, "cutoff", false); if (temp == "not found") { temp = "0.25"; }
m->mothurConvert(temp, cutoff);
cutoff += (5 / (precision * 10.0));
SplitMatrix* split;
if (splitmethod == "distance") { split = new SplitMatrix(distfile, namefile, taxFile, cutoff, splitmethod, large); }
else if (splitmethod == "classify") { split = new SplitMatrix(distfile, namefile, taxFile, taxLevelCutoff, splitmethod, large); }
- else if (splitmethod == "fasta") { split = new SplitMatrix(fastafile, namefile, taxFile, taxLevelCutoff, cutoff, splitmethod, processors, outputDir); }
+ else if (splitmethod == "fasta") { split = new SplitMatrix(fastafile, namefile, taxFile, taxLevelCutoff, cutoff, splitmethod, processors, classic, outputDir); }
else { m->mothurOut("Not a valid splitting method. Valid splitting algorithms are distance, classify or fasta."); m->mothurOutEndLine(); return 0; }
split->split();
//cluster each distance file
for (int i = 0; i < distNames.size(); i++) {
- Cluster* cluster = NULL;
- SparseMatrix* matrix = NULL;
- ListVector* list = NULL;
- ListVector oldList;
- RAbundVector* rabund = NULL;
-
- if (m->control_pressed) { return listFileNames; }
-
string thisNamefile = distNames[i].begin()->second;
string thisDistFile = distNames[i].begin()->first;
-
- #ifdef USE_MPI
- int pid;
- MPI_Comm_rank(MPI_COMM_WORLD, &pid); //find out who we are
-
- //output your files too
- if (pid != 0) {
- cout << endl << "Reading " << thisDistFile << endl;
- }
- #endif
-
- m->mothurOutEndLine(); m->mothurOut("Reading " + thisDistFile); m->mothurOutEndLine();
-
- ReadMatrix* read = new ReadColumnMatrix(thisDistFile);
- read->setCutoff(cutoff);
-
- NameAssignment* nameMap = new NameAssignment(thisNamefile);
- nameMap->readMap();
- read->read(nameMap);
-
- if (m->control_pressed) { delete read; delete nameMap; return listFileNames; }
-
- list = read->getListVector();
- oldList = *list;
- matrix = read->getMatrix();
-
- delete read; read = NULL;
- delete nameMap; nameMap = NULL;
-
-
- #ifdef USE_MPI
- //output your files too
- if (pid != 0) {
- cout << endl << "Clustering " << thisDistFile << endl;
- }
- #endif
- m->mothurOutEndLine(); m->mothurOut("Clustering " + thisDistFile); m->mothurOutEndLine();
-
- rabund = new RAbundVector(list->getRAbundVector());
-
- //create cluster
- if (method == "furthest") { cluster = new CompleteLinkage(rabund, list, matrix, cutoff, method); }
- else if(method == "nearest"){ cluster = new SingleLinkage(rabund, list, matrix, cutoff, method); }
- else if(method == "average"){ cluster = new AverageLinkage(rabund, list, matrix, cutoff, method); }
- tag = cluster->getTag();
-
- if (outputDir == "") { outputDir += m->hasPath(thisDistFile); }
- fileroot = outputDir + m->getRootName(m->getSimpleName(thisDistFile));
-
- ofstream listFile;
- m->openOutputFile(fileroot+ tag + ".list", listFile);
-
- listFileNames.push_back(fileroot+ tag + ".list");
-
- float previousDist = 0.00000;
- float rndPreviousDist = 0.00000;
-
- oldList = *list;
-
- print_start = true;
- start = time(NULL);
- double saveCutoff = cutoff;
-
- while (matrix->getSmallDist() < cutoff && matrix->getNNodes() > 0){
-
- if (m->control_pressed) { //clean up
- delete matrix; delete list; delete cluster; delete rabund;
- listFile.close();
- for (int i = 0; i < listFileNames.size(); i++) { m->mothurRemove(listFileNames[i]); }
- listFileNames.clear(); return listFileNames;
- }
-
- cluster->update(saveCutoff);
-
- float dist = matrix->getSmallDist();
- float rndDist;
- if (hard) {
- rndDist = m->ceilDist(dist, precision);
- }else{
- rndDist = m->roundDist(dist, precision);
- }
-
- if(previousDist <= 0.0000 && dist != previousDist){
- oldList.setLabel("unique");
- oldList.print(listFile);
- if (labels.count("unique") == 0) { labels.insert("unique"); }
- }
- else if(rndDist != rndPreviousDist){
- oldList.setLabel(toString(rndPreviousDist, length-1));
- oldList.print(listFile);
- if (labels.count(toString(rndPreviousDist, length-1)) == 0) { labels.insert(toString(rndPreviousDist, length-1)); }
- }
-
- previousDist = dist;
- rndPreviousDist = rndDist;
- oldList = *list;
- }
+ string listFileName = "";
+ if (classic) { listFileName = clusterClassicFile(thisDistFile, thisNamefile, labels, smallestCutoff); }
+ else { listFileName = clusterFile(thisDistFile, thisNamefile, labels, smallestCutoff); }
-
- if(previousDist <= 0.0000){
- oldList.setLabel("unique");
- oldList.print(listFile);
- if (labels.count("unique") == 0) { labels.insert("unique"); }
- }
- else if(rndPreviousDist<cutoff){
- oldList.setLabel(toString(rndPreviousDist, length-1));
- oldList.print(listFile);
- if (labels.count(toString(rndPreviousDist, length-1)) == 0) { labels.insert(toString(rndPreviousDist, length-1)); }
- }
-
- delete matrix; delete list; delete cluster; delete rabund;
- matrix = NULL; list = NULL; cluster = NULL; rabund = NULL;
- listFile.close();
-
if (m->control_pressed) { //clean up
for (int i = 0; i < listFileNames.size(); i++) { m->mothurRemove(listFileNames[i]); }
listFileNames.clear(); return listFileNames;
}
-
- m->mothurRemove(thisDistFile);
- m->mothurRemove(thisNamefile);
-
- if (saveCutoff != cutoff) {
- if (hard) { saveCutoff = m->ceilDist(saveCutoff, precision); }
- else { saveCutoff = m->roundDist(saveCutoff, precision); }
-
- m->mothurOut("Cutoff was " + toString(cutoff) + " changed cutoff to " + toString(saveCutoff)); m->mothurOutEndLine();
- }
-
- if (saveCutoff < smallestCutoff) { smallestCutoff = saveCutoff; }
- }
+
+ listFileNames.push_back(listFileName);
+ }
cutoff = smallestCutoff;
}
//**********************************************************************************************************************
+string ClusterSplitCommand::clusterClassicFile(string thisDistFile, string thisNamefile, set<string>& labels, double& smallestCutoff){
+ try {
+ string listFileName = "";
+
+ ListVector* list = NULL;
+ ListVector oldList;
+ RAbundVector* rabund = NULL;
+
+#ifdef USE_MPI
+ int pid;
+ MPI_Comm_rank(MPI_COMM_WORLD, &pid); //find out who we are
+
+ //output your files too
+ if (pid != 0) {
+ cout << endl << "Reading " << thisDistFile << endl;
+ }
+#endif
+
+ m->mothurOutEndLine(); m->mothurOut("Reading " + thisDistFile); m->mothurOutEndLine();
+
+ NameAssignment* nameMap = new NameAssignment(thisNamefile);
+ nameMap->readMap();
+
+ //reads phylip file storing data in 2D vector, also fills list and rabund
+ bool sim = false;
+ ClusterClassic* cluster = new ClusterClassic(cutoff, method, sim);
+ cluster->readPhylipFile(thisDistFile, nameMap);
+ tag = cluster->getTag();
+
+ if (m->control_pressed) { delete cluster; return 0; }
+
+ list = cluster->getListVector();
+ rabund = cluster->getRAbundVector();
+
+ if (outputDir == "") { outputDir += m->hasPath(thisDistFile); }
+ fileroot = outputDir + m->getRootName(m->getSimpleName(thisDistFile));
+ listFileName = fileroot+ tag + ".list";
+
+ ofstream listFile;
+ m->openOutputFile(fileroot+ tag + ".list", listFile);
+
+ float previousDist = 0.00000;
+ float rndPreviousDist = 0.00000;
+ oldList = *list;
+
+#ifdef USE_MPI
+ //output your files too
+ if (pid != 0) {
+ cout << endl << "Clustering " << thisDistFile << endl;
+ }
+#endif
+
+ m->mothurOutEndLine(); m->mothurOut("Clustering " + thisDistFile); m->mothurOutEndLine();
+
+ while ((cluster->getSmallDist() < cutoff) && (cluster->getNSeqs() > 1)){
+ if (m->control_pressed) { delete cluster; delete list; delete rabund; listFile.close(); return listFileName; }
+
+ cluster->update(cutoff);
+
+ float dist = cluster->getSmallDist();
+ float rndDist;
+ if (hard) {
+ rndDist = m->ceilDist(dist, precision);
+ }else{
+ rndDist = m->roundDist(dist, precision);
+ }
+
+ if(previousDist <= 0.0000 && dist != previousDist){
+ oldList.setLabel("unique");
+ oldList.print(listFile);
+ if (labels.count("unique") == 0) { labels.insert("unique"); }
+ }
+ else if(rndDist != rndPreviousDist){
+ oldList.setLabel(toString(rndPreviousDist, length-1));
+ oldList.print(listFile);
+ if (labels.count(toString(rndPreviousDist, length-1)) == 0) { labels.insert(toString(rndPreviousDist, length-1)); }
+ }
+
+
+ previousDist = dist;
+ rndPreviousDist = rndDist;
+ oldList = *list;
+ }
+
+ if(previousDist <= 0.0000){
+ oldList.setLabel("unique");
+ oldList.print(listFile);
+ if (labels.count("unique") == 0) { labels.insert("unique"); }
+ }
+ else if(rndPreviousDist<cutoff){
+ oldList.setLabel(toString(rndPreviousDist, length-1));
+ oldList.print(listFile);
+ if (labels.count(toString(rndPreviousDist, length-1)) == 0) { labels.insert(toString(rndPreviousDist, length-1)); }
+ }
+
+
+ listFile.close();
+
+ delete cluster; delete nameMap; delete list; delete rabund;
+
+
+ return listFileName;
+
+ }
+ catch(exception& e) {
+ m->errorOut(e, "ClusterSplitCommand", "clusterClassicFile");
+ exit(1);
+ }
+}
+
+//**********************************************************************************************************************
+string ClusterSplitCommand::clusterFile(string thisDistFile, string thisNamefile, set<string>& labels, double& smallestCutoff){
+ try {
+ string listFileName = "";
+
+ Cluster* cluster = NULL;
+ SparseMatrix* matrix = NULL;
+ ListVector* list = NULL;
+ ListVector oldList;
+ RAbundVector* rabund = NULL;
+
+ if (m->control_pressed) { return listFileName; }
+
+#ifdef USE_MPI
+ int pid;
+ MPI_Comm_rank(MPI_COMM_WORLD, &pid); //find out who we are
+
+ //output your files too
+ if (pid != 0) {
+ cout << endl << "Reading " << thisDistFile << endl;
+ }
+#endif
+
+ m->mothurOutEndLine(); m->mothurOut("Reading " + thisDistFile); m->mothurOutEndLine();
+
+ ReadMatrix* read = new ReadColumnMatrix(thisDistFile);
+ read->setCutoff(cutoff);
+
+ NameAssignment* nameMap = new NameAssignment(thisNamefile);
+ nameMap->readMap();
+ read->read(nameMap);
+
+ if (m->control_pressed) { delete read; delete nameMap; return listFileName; }
+
+ list = read->getListVector();
+ oldList = *list;
+ matrix = read->getMatrix();
+
+ delete read; read = NULL;
+ delete nameMap; nameMap = NULL;
+
+
+#ifdef USE_MPI
+ //output your files too
+ if (pid != 0) {
+ cout << endl << "Clustering " << thisDistFile << endl;
+ }
+#endif
+
+ m->mothurOutEndLine(); m->mothurOut("Clustering " + thisDistFile); m->mothurOutEndLine();
+
+ rabund = new RAbundVector(list->getRAbundVector());
+
+ //create cluster
+ if (method == "furthest") { cluster = new CompleteLinkage(rabund, list, matrix, cutoff, method); }
+ else if(method == "nearest"){ cluster = new SingleLinkage(rabund, list, matrix, cutoff, method); }
+ else if(method == "average"){ cluster = new AverageLinkage(rabund, list, matrix, cutoff, method); }
+ tag = cluster->getTag();
+
+ if (outputDir == "") { outputDir += m->hasPath(thisDistFile); }
+ fileroot = outputDir + m->getRootName(m->getSimpleName(thisDistFile));
+
+ ofstream listFile;
+ m->openOutputFile(fileroot+ tag + ".list", listFile);
+
+ listFileName = fileroot+ tag + ".list";
+
+ float previousDist = 0.00000;
+ float rndPreviousDist = 0.00000;
+
+ oldList = *list;
+
+ print_start = true;
+ start = time(NULL);
+ double saveCutoff = cutoff;
+
+ while (matrix->getSmallDist() < cutoff && matrix->getNNodes() > 0){
+
+ if (m->control_pressed) { //clean up
+ delete matrix; delete list; delete cluster; delete rabund;
+ listFile.close();
+ m->mothurRemove(listFileName);
+ return listFileName;
+ }
+
+ cluster->update(saveCutoff);
+
+ float dist = matrix->getSmallDist();
+ float rndDist;
+ if (hard) {
+ rndDist = m->ceilDist(dist, precision);
+ }else{
+ rndDist = m->roundDist(dist, precision);
+ }
+
+ if(previousDist <= 0.0000 && dist != previousDist){
+ oldList.setLabel("unique");
+ oldList.print(listFile);
+ if (labels.count("unique") == 0) { labels.insert("unique"); }
+ }
+ else if(rndDist != rndPreviousDist){
+ oldList.setLabel(toString(rndPreviousDist, length-1));
+ oldList.print(listFile);
+ if (labels.count(toString(rndPreviousDist, length-1)) == 0) { labels.insert(toString(rndPreviousDist, length-1)); }
+ }
+
+ previousDist = dist;
+ rndPreviousDist = rndDist;
+ oldList = *list;
+ }
+
+
+ if(previousDist <= 0.0000){
+ oldList.setLabel("unique");
+ oldList.print(listFile);
+ if (labels.count("unique") == 0) { labels.insert("unique"); }
+ }
+ else if(rndPreviousDist<cutoff){
+ oldList.setLabel(toString(rndPreviousDist, length-1));
+ oldList.print(listFile);
+ if (labels.count(toString(rndPreviousDist, length-1)) == 0) { labels.insert(toString(rndPreviousDist, length-1)); }
+ }
+
+ delete matrix; delete list; delete cluster; delete rabund;
+ matrix = NULL; list = NULL; cluster = NULL; rabund = NULL;
+ listFile.close();
+
+ if (m->control_pressed) { //clean up
+ m->mothurRemove(listFileName);
+ return listFileName;
+ }
+
+ m->mothurRemove(thisDistFile);
+ m->mothurRemove(thisNamefile);
+
+ if (saveCutoff != cutoff) {
+ if (hard) { saveCutoff = m->ceilDist(saveCutoff, precision); }
+ else { saveCutoff = m->roundDist(saveCutoff, precision); }
+
+ m->mothurOut("Cutoff was " + toString(cutoff) + " changed cutoff to " + toString(saveCutoff)); m->mothurOutEndLine();
+ }
+
+ if (saveCutoff < smallestCutoff) { smallestCutoff = saveCutoff; }
+
+ return listFileName;
+
+ }
+ catch(exception& e) {
+ m->errorOut(e, "ClusterSplitCommand", "clusterFile");
+ exit(1);
+ }
+}
+//**********************************************************************************************************************
int ClusterSplitCommand::createMergedDistanceFile(vector< map<string, string> > distNames) {
try{
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