//**********************************************************************************************************************
vector<string> ClassifySeqsCommand::setParameters(){
try {
- CommandParameter ptaxonomy("taxonomy", "InputTypes", "", "", "none", "none", "none",false,true); parameters.push_back(ptaxonomy);
- CommandParameter ptemplate("reference", "InputTypes", "", "", "none", "none", "none",false,true); parameters.push_back(ptemplate);
- CommandParameter pfasta("fasta", "InputTypes", "", "", "none", "none", "none",false,true); parameters.push_back(pfasta);
- CommandParameter pname("name", "InputTypes", "", "", "NameCount", "none", "none",false,false); parameters.push_back(pname);
- CommandParameter pcount("count", "InputTypes", "", "", "NameCount-CountGroup", "none", "none",false,false); parameters.push_back(pcount);
- CommandParameter pgroup("group", "InputTypes", "", "", "CountGroup", "none", "none",false,false); parameters.push_back(pgroup);
+ CommandParameter ptaxonomy("taxonomy", "InputTypes", "", "", "none", "none", "none","",false,true,true); parameters.push_back(ptaxonomy);
+ CommandParameter ptemplate("reference", "InputTypes", "", "", "none", "none", "none","",false,true,true); parameters.push_back(ptemplate);
+ CommandParameter pfasta("fasta", "InputTypes", "", "", "none", "none", "none","taxonomy",false,true,true); parameters.push_back(pfasta);
+ CommandParameter pname("name", "InputTypes", "", "", "NameCount", "none", "none","",false,false,true); parameters.push_back(pname);
+ CommandParameter pcount("count", "InputTypes", "", "", "NameCount-CountGroup", "none", "none","",false,false,true); parameters.push_back(pcount);
+ CommandParameter pgroup("group", "InputTypes", "", "", "CountGroup", "none", "none","",false,false,true); parameters.push_back(pgroup);
- CommandParameter psearch("search", "Multiple", "kmer-blast-suffix-distance", "kmer", "", "", "",false,false); parameters.push_back(psearch);
- CommandParameter pksize("ksize", "Number", "", "8", "", "", "",false,false); parameters.push_back(pksize);
- CommandParameter pmethod("method", "Multiple", "bayesian-knn", "bayesian", "", "", "",false,false); parameters.push_back(pmethod);
- CommandParameter pprocessors("processors", "Number", "", "1", "", "", "",false,false); parameters.push_back(pprocessors);
- CommandParameter pmatch("match", "Number", "", "1.0", "", "", "",false,false); parameters.push_back(pmatch);
- CommandParameter pmismatch("mismatch", "Number", "", "-1.0", "", "", "",false,false); parameters.push_back(pmismatch);
- CommandParameter pgapopen("gapopen", "Number", "", "-2.0", "", "", "",false,false); parameters.push_back(pgapopen);
- CommandParameter pgapextend("gapextend", "Number", "", "-1.0", "", "", "",false,false); parameters.push_back(pgapextend);
- //CommandParameter pflip("flip", "Boolean", "", "F", "", "", "",false,false); parameters.push_back(pflip);
- CommandParameter pcutoff("cutoff", "Number", "", "0", "", "", "",false,true); parameters.push_back(pcutoff);
- CommandParameter pprobs("probs", "Boolean", "", "T", "", "", "",false,false); parameters.push_back(pprobs);
- CommandParameter piters("iters", "Number", "", "100", "", "", "",false,true); parameters.push_back(piters);
- CommandParameter psave("save", "Boolean", "", "F", "", "", "",false,false); parameters.push_back(psave);
- CommandParameter pshortcuts("shortcuts", "Boolean", "", "T", "", "", "",false,false); parameters.push_back(pshortcuts);
- CommandParameter pnumwanted("numwanted", "Number", "", "10", "", "", "",false,true); parameters.push_back(pnumwanted);
- CommandParameter pinputdir("inputdir", "String", "", "", "", "", "",false,false); parameters.push_back(pinputdir);
- CommandParameter poutputdir("outputdir", "String", "", "", "", "", "",false,false); parameters.push_back(poutputdir);
+ CommandParameter psearch("search", "Multiple", "kmer-blast-suffix-distance-align", "kmer", "", "", "","",false,false); parameters.push_back(psearch);
+ CommandParameter pksize("ksize", "Number", "", "8", "", "", "","",false,false); parameters.push_back(pksize);
+ CommandParameter pmethod("method", "Multiple", "wang-knn-zap", "wang", "", "", "","",false,false); parameters.push_back(pmethod);
+ CommandParameter pprocessors("processors", "Number", "", "1", "", "", "","",false,false,true); parameters.push_back(pprocessors);
+ CommandParameter pmatch("match", "Number", "", "1.0", "", "", "","",false,false); parameters.push_back(pmatch);
+ CommandParameter pmismatch("mismatch", "Number", "", "-1.0", "", "", "","",false,false); parameters.push_back(pmismatch);
+ CommandParameter pgapopen("gapopen", "Number", "", "-2.0", "", "", "","",false,false); parameters.push_back(pgapopen);
+ CommandParameter pgapextend("gapextend", "Number", "", "-1.0", "", "", "","",false,false); parameters.push_back(pgapextend);
+ CommandParameter pcutoff("cutoff", "Number", "", "0", "", "", "","",false,true); parameters.push_back(pcutoff);
+ CommandParameter pprobs("probs", "Boolean", "", "T", "", "", "","",false,false); parameters.push_back(pprobs);
+ CommandParameter piters("iters", "Number", "", "100", "", "", "","",false,true); parameters.push_back(piters);
+ CommandParameter psave("save", "Boolean", "", "F", "", "", "","",false,false); parameters.push_back(psave);
+ CommandParameter pshortcuts("shortcuts", "Boolean", "", "T", "", "", "","",false,false); parameters.push_back(pshortcuts);
+ CommandParameter pnumwanted("numwanted", "Number", "", "10", "", "", "","",false,true); parameters.push_back(pnumwanted);
+ CommandParameter pinputdir("inputdir", "String", "", "", "", "", "","",false,false); parameters.push_back(pinputdir);
+ CommandParameter poutputdir("outputdir", "String", "", "", "", "", "","",false,false); parameters.push_back(poutputdir);
vector<string> myArray;
for (int i = 0; i < parameters.size(); i++) { myArray.push_back(parameters[i].name); }
helpString += "The classify.seqs command reads a fasta file containing sequences and creates a .taxonomy file and a .tax.summary file.\n";
helpString += "The classify.seqs command parameters are reference, fasta, name, group, count, search, ksize, method, taxonomy, processors, match, mismatch, gapopen, gapextend, numwanted and probs.\n";
helpString += "The reference, fasta and taxonomy parameters are required. You may enter multiple fasta files by separating their names with dashes. ie. fasta=abrecovery.fasta-amzon.fasta \n";
- helpString += "The search parameter allows you to specify the method to find most similar template. Your options are: suffix, kmer, blast and distance. The default is kmer.\n";
+ helpString += "The search parameter allows you to specify the method to find most similar template. Your options are: suffix, kmer, blast, align and distance. The default is kmer.\n";
helpString += "The name parameter allows you add a names file with your fasta file, if you enter multiple fasta files, you must enter matching names files for them.\n";
helpString += "The group parameter allows you add a group file so you can have the summary totals broken up by group.\n";
helpString += "The count parameter allows you add a count file so you can have the summary totals broken up by group.\n";
- helpString += "The method parameter allows you to specify classification method to use. Your options are: bayesian and knn. The default is bayesian.\n";
+ helpString += "The method parameter allows you to specify classification method to use. Your options are: wang, knn and zap. The default is wang.\n";
helpString += "The ksize parameter allows you to specify the kmer size for finding most similar template to candidate. The default is 8.\n";
helpString += "The processors parameter allows you to specify the number of processors to use. The default is 1.\n";
#ifdef USE_MPI
helpString += "The gapextend parameter allows you to specify the penalty for extending a gap in an alignment. The default is -1.0.\n";
helpString += "The numwanted parameter allows you to specify the number of sequence matches you want with the knn method. The default is 10.\n";
helpString += "The cutoff parameter allows you to specify a bootstrap confidence threshold for your taxonomy. The default is 0.\n";
- helpString += "The probs parameter shuts off the bootstrapping results for the bayesian method. The default is true, meaning you want the bootstrapping to be shown.\n";
- helpString += "The iters parameter allows you to specify how many iterations to do when calculating the bootstrap confidence score for your taxonomy with the bayesian method. The default is 100.\n";
+ helpString += "The probs parameter shuts off the bootstrapping results for the wang and zap method. The default is true, meaning you want the bootstrapping to be shown.\n";
+ helpString += "The iters parameter allows you to specify how many iterations to do when calculating the bootstrap confidence score for your taxonomy with the wang method. The default is 100.\n";
//helpString += "The flip parameter allows you shut off mothur's The default is T.\n";
helpString += "The classify.seqs command should be in the following format: \n";
helpString += "classify.seqs(reference=yourTemplateFile, fasta=yourFastaFile, method=yourClassificationMethod, search=yourSearchmethod, ksize=yourKmerSize, taxonomy=yourTaxonomyFile, processors=yourProcessors) \n";
}
}
//**********************************************************************************************************************
-string ClassifySeqsCommand::getOutputFileNameTag(string type, string inputName=""){
- try {
- string outputFileName = "";
- map<string, vector<string> >::iterator it;
+string ClassifySeqsCommand::getOutputPattern(string type) {
+ try {
+ string pattern = "";
- //is this a type this command creates
- it = outputTypes.find(type);
- if (it == outputTypes.end()) { m->mothurOut("[ERROR]: this command doesn't create a " + type + " output file.\n"); }
- else {
- if (type == "taxonomy") { outputFileName = "taxonomy"; }
- else if (type == "accnos") { outputFileName = "flip.accnos"; }
- else if (type == "taxsummary") { outputFileName = "tax.summary"; }
- else if (type == "matchdist") { outputFileName = "match.dist"; }
- else { m->mothurOut("[ERROR]: No definition for type " + type + " output file tag.\n"); m->control_pressed = true; }
- }
- return outputFileName;
- }
- catch(exception& e) {
- m->errorOut(e, "ClassifySeqsCommand", "getOutputFileNameTag");
- exit(1);
- }
+ if (type == "taxonomy") { pattern = "[filename],[tag],[tag2],taxonomy"; }
+ else if (type == "taxsummary") { pattern = "[filename],[tag],[tag2],tax.summary"; }
+ else if (type == "accnos") { pattern = "[filename],[tag],[tag2],flip.accnos"; }
+ else if (type == "matchdist") { pattern = "[filename],[tag],[tag2],match.dist"; }
+ else { m->mothurOut("[ERROR]: No definition for type " + type + " output pattern.\n"); m->control_pressed = true; }
+
+ return pattern;
+ }
+ catch(exception& e) {
+ m->errorOut(e, "ClassifySeqsCommand", "getOutputPattern");
+ exit(1);
+ }
}
//**********************************************************************************************************************
ClassifySeqsCommand::ClassifySeqsCommand(){
//if the user has not given a path then, add inputdir. else leave path alone.
if (path == "") { parameters["taxonomy"] = inputDir + it->second; }
}
-
- it = parameters.find("group");
- //user has given a template file
- if(it != parameters.end()){
- path = m->hasPath(it->second);
- //if the user has not given a path then, add inputdir. else leave path alone.
- if (path == "") { parameters["group"] = inputDir + it->second; }
- }
-
- it = parameters.find("count");
- //user has given a template file
- if(it != parameters.end()){
- path = m->hasPath(it->second);
- //if the user has not given a path then, add inputdir. else leave path alone.
- if (path == "") { parameters["count"] = inputDir + it->second; }
- }
- }
+ }
fastaFileName = validParameter.validFile(parameters, "fasta", false);
if (fastaFileName == "not found") {
namefile = validParameter.validFile(parameters, "name", false);
if (namefile == "not found") { namefile = ""; }
-
else {
m->splitAtDash(namefile, namefileNames);
//go through files and make sure they are good, if not, then disregard them
for (int i = 0; i < groupfileNames.size(); i++) {
- if (inputDir != "") {
- string path = m->hasPath(groupfileNames[i]);
- //if the user has not given a path then, add inputdir. else leave path alone.
- if (path == "") { groupfileNames[i] = inputDir + groupfileNames[i]; }
- }
- int ableToOpen;
- ifstream in;
- ableToOpen = m->openInputFile(groupfileNames[i], in, "noerror");
-
- //if you can't open it, try default location
- if (ableToOpen == 1) {
- if (m->getDefaultPath() != "") { //default path is set
- string tryPath = m->getDefaultPath() + m->getSimpleName(groupfileNames[i]);
- m->mothurOut("Unable to open " + groupfileNames[i] + ". Trying default " + tryPath); m->mothurOutEndLine();
- ifstream in2;
- ableToOpen = m->openInputFile(tryPath, in2, "noerror");
- in2.close();
- groupfileNames[i] = tryPath;
+ bool ignore = false;
+ if (groupfileNames[i] == "current") {
+ groupfileNames[i] = m->getGroupFile();
+ if (groupfileNames[i] != "") { m->mothurOut("Using " + groupfileNames[i] + " as input file for the group parameter where you had given current."); m->mothurOutEndLine(); }
+ else {
+ m->mothurOut("You have no current group file, ignoring current."); m->mothurOutEndLine(); ignore=true;
+ //erase from file list
+ groupfileNames.erase(groupfileNames.begin()+i);
+ i--;
}
}
- if (ableToOpen == 1) {
- if (m->getOutputDir() != "") { //default path is set
- string tryPath = m->getOutputDir() + m->getSimpleName(groupfileNames[i]);
- m->mothurOut("Unable to open " + groupfileNames[i] + ". Trying output directory " + tryPath); m->mothurOutEndLine();
- ifstream in2;
- ableToOpen = m->openInputFile(tryPath, in2, "noerror");
- in2.close();
- groupfileNames[i] = tryPath;
+ if (!ignore) {
+
+ if (inputDir != "") {
+ string path = m->hasPath(groupfileNames[i]);
+ cout << path << '\t' << inputDir << endl;
+ //if the user has not given a path then, add inputdir. else leave path alone.
+ if (path == "") { groupfileNames[i] = inputDir + groupfileNames[i]; }
+ }
+
+ int ableToOpen;
+
+ ifstream in;
+ ableToOpen = m->openInputFile(groupfileNames[i], in, "noerror");
+
+ //if you can't open it, try default location
+ if (ableToOpen == 1) {
+ if (m->getDefaultPath() != "") { //default path is set
+ string tryPath = m->getDefaultPath() + m->getSimpleName(groupfileNames[i]);
+ m->mothurOut("Unable to open " + groupfileNames[i] + ". Trying default " + tryPath); m->mothurOutEndLine();
+ ifstream in2;
+ ableToOpen = m->openInputFile(tryPath, in2, "noerror");
+ in2.close();
+ groupfileNames[i] = tryPath;
+ }
+ }
+
+ if (ableToOpen == 1) {
+ if (m->getOutputDir() != "") { //default path is set
+ string tryPath = m->getOutputDir() + m->getSimpleName(groupfileNames[i]);
+ m->mothurOut("Unable to open " + groupfileNames[i] + ". Trying output directory " + tryPath); m->mothurOutEndLine();
+ ifstream in2;
+ ableToOpen = m->openInputFile(tryPath, in2, "noerror");
+ in2.close();
+ groupfileNames[i] = tryPath;
+ }
+ }
+
+ in.close();
+
+ if (ableToOpen == 1) {
+ m->mothurOut("Unable to open " + groupfileNames[i] + ". It will be disregarded."); m->mothurOutEndLine();
+ //erase from file list
+ groupfileNames.erase(groupfileNames.begin()+i);
+ i--;
+ }else {
+ m->setGroupFile(groupfileNames[i]);
}
}
- in.close();
-
- if (ableToOpen == 1) {
- m->mothurOut("Unable to open " + groupfileNames[i] + ". It will be disregarded."); m->mothurOutEndLine(); groupfileNames[i] = "";
- //erase from file list
- groupfileNames.erase(groupfileNames.begin()+i);
- i--;
- }else {
- m->setGroupFile(groupfileNames[i]);
- }
}
}
//check for optional parameter and set defaults
// ...at some point should added some additional type checking...
string temp;
- temp = validParameter.validFile(parameters, "ksize", false); if (temp == "not found"){ temp = "8"; }
- m->mothurConvert(temp, kmerSize);
-
temp = validParameter.validFile(parameters, "processors", false); if (temp == "not found"){ temp = m->getProcessors(); }
m->setProcessors(temp);
m->mothurConvert(temp, processors);
search = validParameter.validFile(parameters, "search", false); if (search == "not found"){ search = "kmer"; }
- method = validParameter.validFile(parameters, "method", false); if (method == "not found"){ method = "bayesian"; }
+ method = validParameter.validFile(parameters, "method", false); if (method == "not found"){ method = "wang"; }
+
+ temp = validParameter.validFile(parameters, "ksize", false); if (temp == "not found"){
+ temp = "8";
+ if (method == "zap") { temp = "7"; }
+ }
+ m->mothurConvert(temp, kmerSize);
temp = validParameter.validFile(parameters, "match", false); if (temp == "not found"){ temp = "1.0"; }
m->mothurConvert(temp, match);
m->mothurConvert(temp, iters);
- if ((method == "bayesian") && (search != "kmer")) {
- m->mothurOut("The bayesian method requires the kmer search." + search + "will be disregarded." ); m->mothurOutEndLine();
+ if ((method == "wang") && (search != "kmer")) {
+ m->mothurOut("The wang method requires the kmer search. " + search + " will be disregarded, and kmer will be used." ); m->mothurOutEndLine();
+ search = "kmer";
+ }
+
+ if ((method == "zap") && ((search != "kmer") && (search != "align"))) {
+ m->mothurOut("The zap method requires the kmer or align search. " + search + " will be disregarded, and kmer will be used." ); m->mothurOutEndLine();
search = "kmer";
}
try {
if (abort == true) { if (calledHelp) { return 0; } return 2; }
- if(method == "bayesian"){ classify = new Bayesian(taxonomyFileName, templateFileName, search, kmerSize, cutoff, iters, rand(), flip, writeShortcuts); }
+ string outputMethodTag = method;
+ if(method == "wang"){ classify = new Bayesian(taxonomyFileName, templateFileName, search, kmerSize, cutoff, iters, rand(), flip, writeShortcuts); }
else if(method == "knn"){ classify = new Knn(taxonomyFileName, templateFileName, search, kmerSize, gapOpen, gapExtend, match, misMatch, numWanted, rand()); }
+ else if(method == "zap"){
+ outputMethodTag = search + "_" + outputMethodTag;
+ if (search == "kmer") { classify = new KmerTree(templateFileName, taxonomyFileName, kmerSize, cutoff); }
+ else { classify = new AlignTree(templateFileName, taxonomyFileName, cutoff); }
+ }
else {
- m->mothurOut(search + " is not a valid method option. I will run the command using bayesian.");
+ m->mothurOut(search + " is not a valid method option. I will run the command using wang.");
m->mothurOutEndLine();
classify = new Bayesian(taxonomyFileName, templateFileName, search, kmerSize, cutoff, iters, rand(), flip, writeShortcuts);
}
m->mothurOut("Classifying sequences from " + fastaFileNames[s] + " ..." ); m->mothurOutEndLine();
- string baseTName = taxonomyFileName;
- if (taxonomyFileName == "saved") {baseTName = rdb->getSavedTaxonomy(); }
+ string baseTName = m->getSimpleName(taxonomyFileName);
+ if (taxonomyFileName == "saved") { baseTName = rdb->getSavedTaxonomy(); }
//set rippedTaxName to
string RippedTaxName = "";
else if (foundDot && (baseTName[i] == '.')) { break; }
else if (!foundDot && (baseTName[i] == '.')) { foundDot = true; }
}
- if (RippedTaxName != "") { RippedTaxName += "."; }
+ //if (RippedTaxName != "") { RippedTaxName += "."; }
if (outputDir == "") { outputDir += m->hasPath(fastaFileNames[s]); }
- string newTaxonomyFile = outputDir + m->getRootName(m->getSimpleName(fastaFileNames[s])) + RippedTaxName + getOutputFileNameTag("taxonomy");
- string newaccnosFile = outputDir + m->getRootName(m->getSimpleName(fastaFileNames[s])) + RippedTaxName + getOutputFileNameTag("accnos");
+ map<string, string> variables;
+ variables["[filename]"] = outputDir + m->getRootName(m->getSimpleName(fastaFileNames[s]));
+ variables["[tag]"] = RippedTaxName;
+ variables["[tag2]"] = outputMethodTag;
+ string newTaxonomyFile = getOutputFileName("taxonomy", variables);
+ string newaccnosFile = getOutputFileName("accnos", variables);
string tempTaxonomyFile = outputDir + m->getRootName(m->getSimpleName(fastaFileNames[s])) + "taxonomy.temp";
- string taxSummary = outputDir + m->getRootName(m->getSimpleName(fastaFileNames[s])) + RippedTaxName + getOutputFileNameTag("taxsummary");
+ string taxSummary = getOutputFileName("taxsummary", variables);
if ((method == "knn") && (search == "distance")) {
- string DistName = outputDir + m->getRootName(m->getSimpleName(fastaFileNames[s])) + getOutputFileNameTag("matchdist");
+ string DistName = getOutputFileName("matchdist", variables);
classify->setDistName(DistName); outputNames.push_back(DistName); outputTypes["matchdist"].push_back(DistName);
}
outputNames.push_back(newTaxonomyFile); outputTypes["taxonomy"].push_back(newTaxonomyFile);
- outputNames.push_back(newaccnosFile); outputTypes["accnos"].push_back(newaccnosFile);
outputNames.push_back(taxSummary); outputTypes["taxsummary"].push_back(taxSummary);
int start = time(NULL);
}
#endif
- if (!m->isBlank(newaccnosFile)) { m->mothurOutEndLine(); m->mothurOut("[WARNING]: mothur suspects some of your sequences may be reversed, please check " + newaccnosFile + " for the list of the sequences."); m->mothurOutEndLine(); }
+ if (!m->isBlank(newaccnosFile)) { m->mothurOutEndLine(); m->mothurOut("[WARNING]: mothur reversed some your sequences for a better classification. If you would like to take a closer look, please check " + newaccnosFile + " for the list of the sequences."); m->mothurOutEndLine();
+ outputNames.push_back(newaccnosFile); outputTypes["accnos"].push_back(newaccnosFile);
+ }else { m->mothurRemove(newaccnosFile); }
m->mothurOutEndLine();
m->mothurOut("It took " + toString(time(NULL) - start) + " secs to classify " + toString(numFastaSeqs) + " sequences."); m->mothurOutEndLine(); m->mothurOutEndLine();
PhyloSummary* taxaSum;
if (hasCount) {
ct = new CountTable();
- ct->readTable(countfileNames[s]);
- taxaSum = new PhyloSummary(baseTName, ct);
+ ct->readTable(countfileNames[s], true);
+ taxaSum = new PhyloSummary(taxonomyFileName, ct);
taxaSum->summarize(tempTaxonomyFile);
}else {
if (groupfile != "") { group = groupfileNames[s]; groupMap = new GroupMap(group); groupMap->readMap(); }
- taxaSum = new PhyloSummary(baseTName, groupMap);
+ taxaSum = new PhyloSummary(taxonomyFileName, groupMap);
if (m->control_pressed) { outputTypes.clear(); if (ct != NULL) { delete ct; } if (groupMap != NULL) { delete groupMap; } delete taxaSum; for (int i = 0; i < outputNames.size(); i++) { m->mothurRemove(outputNames[i]); } delete classify; return 0; }
#ifdef USE_MPI
}
#endif
-
- m->mothurOutEndLine();
- m->mothurOut("Output File Names: "); m->mothurOutEndLine();
- for (int i = 0; i < outputNames.size(); i++) { m->mothurOut(outputNames[i]); m->mothurOutEndLine(); }
- m->mothurOutEndLine();
}
+ delete classify;
+
+ m->mothurOutEndLine();
+ m->mothurOut("Output File Names: "); m->mothurOutEndLine();
+ for (int i = 0; i < outputNames.size(); i++) { m->mothurOut(outputNames[i]); m->mothurOutEndLine(); }
+ m->mothurOutEndLine();
//set taxonomy file as new current taxonomyfile
string current = "";
if ((itTypes->second).size() != 0) { current = (itTypes->second)[0]; m->setAccnosFile(current); }
}
- delete classify;
+
return 0;
}
//Close all thread handles and free memory allocations.
for(int i=0; i < pDataArray.size(); i++){
num += pDataArray[i]->count;
+ if (pDataArray[i]->count != pDataArray[i]->end) {
+ m->mothurOut("[ERROR]: process " + toString(i) + " only processed " + toString(pDataArray[i]->count) + " of " + toString(pDataArray[i]->end) + " sequences assigned to it, quitting. \n"); m->control_pressed = true;
+ }
CloseHandle(hThreadArray[i]);
delete pDataArray[i];
}
#endif
//report progress
- if((count) % 100 == 0){ m->mothurOut("Processing sequence: " + toString(count)); m->mothurOutEndLine(); }
+ if((count) % 100 == 0){ m->mothurOutJustToScreen("Processing sequence: " + toString(count) +"\n"); }
}
//report progress
- if((count) % 100 != 0){ m->mothurOut("Processing sequence: " + toString(count)); m->mothurOutEndLine(); }
+ if((count) % 100 != 0){ m->mothurOutJustToScreen("Processing sequence: " + toString(count)+"\n"); }
inFASTA.close();
outTax.close();