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+#ifndef PRECLUSTERCOMMAND_H
+#define PRECLUSTERCOMMAND_H
+
+
+/*
+ *  preclustercommand.h
+ *  Mothur
+ *
+ *  Created by westcott on 12/21/09.
+ *  Copyright 2009 Schloss Lab. All rights reserved.
+ *
+ */
+
+
+#include "command.hpp"
+#include "sequence.hpp"
+#include "sequenceparser.h"
+
+/************************************************************/
+struct seqPNode {
+       int numIdentical;
+       Sequence seq;
+       string names;
+       bool active;
+       int diffs;
+       seqPNode() {}
+       seqPNode(int n, Sequence s, string nm) : numIdentical(n), seq(s), names(nm), active(1) { diffs = 0; }
+       ~seqPNode() {}
+};
+/************************************************************/
+inline bool comparePriority(seqPNode first, seqPNode second) {  return (first.numIdentical > second.numIdentical); }
+//************************************************************/
+
+class PreClusterCommand : public Command {
+       
+public:
+       PreClusterCommand(string);
+       PreClusterCommand();
+       ~PreClusterCommand(){}
+       
+       vector<string> setParameters();
+       string getCommandName()                 { return "pre.cluster";                         }
+       string getCommandCategory()             { return "Sequence Processing";         }
+       string getHelpString(); 
+       string getCitation() { return "http://www.mothur.org/wiki/Pre.cluster"; }
+       string getDescription()         { return "implements a pseudo-single linkage algorithm with the goal of removing sequences that are likely due to pyrosequencing errors"; }
+
+       
+       int execute(); 
+       void help() { m->mothurOut(getHelpString()); }  
+       
+private:
+       
+       struct linePair {
+               int start;
+               int end;
+               linePair(int i, int j) : start(i), end(j) {}
+       };
+       
+       int diffs, length, processors;
+       bool abort, bygroup;
+       string fastafile, namefile, outputDir, groupfile;
+       vector<seqPNode> alignSeqs; //maps the number of identical seqs to a sequence
+       map<string, string> names; //represents the names file first column maps to second column
+       map<string, int> sizes;  //this map a seq name to the number of identical seqs in the names file
+       map<string, int>::iterator itSize; 
+//     map<string, bool> active; //maps sequence name to whether it has already been merged or not.
+       vector<string> outputNames;
+       map<string, vector<string> > outputTypes;
+       
+       int readFASTA();
+       void readNameFile();
+       //int readNamesFASTA();
+       int calcMisMatches(string, string);
+       void printData(string, string); //fasta filename, names file name
+       int process(string);
+       int loadSeqs(map<string, string>&, vector<Sequence>&);
+       int driverGroups(SequenceParser*, string, string, string, int, int, vector<string> groups);
+       int createProcessesGroups(SequenceParser*, string, string, string, vector<string>);
+};
+
+/**************************************************************************************************/
+//custom data structure for threads to use.
+// This is passed by void pointer so it can be any data type
+// that can be passed using a single void pointer (LPVOID).
+struct preClusterData {
+       string fastafile; 
+       string namefile; 
+       string groupfile;
+       string newFName, newNName, newMName;
+       MothurOut* m;
+       int start;
+       int end;
+       int diffs, threadID;
+       vector<string> groups;
+       vector<string> mapFileNames;
+       
+       preClusterData(){}
+       preClusterData(string f, string n, string g, string nff,  string nnf, string nmf, vector<string> gr, MothurOut* mout, int st, int en, int d, int tid) {
+               fastafile = f;
+               namefile = n;
+               groupfile = g;
+               newFName = nff;
+               newNName = nnf;
+               newMName = nmf;
+               m = mout;
+               start = st;
+               end = en;
+               diffs = d;
+               threadID = tid;
+               groups = gr;
+       }
+};
+
+/**************************************************************************************************/
+#if defined (__APPLE__) || (__MACH__) || (linux) || (__linux) || (__linux__) || (__unix__) || (__unix)
+#else
+static DWORD WINAPI MyPreclusterThreadFunction(LPVOID lpParam){ 
+       preClusterData* pDataArray;
+       pDataArray = (preClusterData*)lpParam;
+       
+       try {
+               
+               //parse fasta and name file by group
+               SequenceParser* parser;
+               if (pDataArray->namefile != "") { parser = new SequenceParser(pDataArray->groupfile, pDataArray->fastafile, pDataArray->namefile);      }
+               else                                                    { parser = new SequenceParser(pDataArray->groupfile, pDataArray->fastafile);                                            }
+               
+               int numSeqs = 0;
+               vector<seqPNode> alignSeqs;
+               //clear out old files
+               ofstream outF; pDataArray->m->openOutputFile(pDataArray->newFName, outF); outF.close();
+               ofstream outN; pDataArray->m->openOutputFile(pDataArray->newNName, outN);  outN.close();
+               
+               //precluster each group
+               for (int k = pDataArray->start; k < pDataArray->end; k++) {
+                       
+                       int start = time(NULL);
+                       
+                       if (pDataArray->m->control_pressed) {  delete parser; return 0; }
+                       
+                       pDataArray->m->mothurOutEndLine(); pDataArray->m->mothurOut("Processing group " + pDataArray->groups[k] + ":"); pDataArray->m->mothurOutEndLine();
+                       
+                       map<string, string> thisNameMap;
+                       if (pDataArray->namefile != "") { thisNameMap = parser->getNameMap(pDataArray->groups[k]); }
+                       vector<Sequence> thisSeqs = parser->getSeqs(pDataArray->groups[k]);
+                       
+                       //fill alignSeqs with this groups info.
+                       ////////////////////////////////////////////////////
+                       //numSeqs = loadSeqs(thisNameMap, thisSeqs); same function below
+                       
+                       int length = 0;
+                       alignSeqs.clear();
+                       map<string, string>::iterator it;
+                       bool error = false;
+                       
+                       for (int i = 0; i < thisSeqs.size(); i++) {
+                               
+                               if (pDataArray->m->control_pressed) { delete parser; return 0; }
+                               
+                               if (pDataArray->namefile != "") {
+                                       it = thisNameMap.find(thisSeqs[i].getName());
+                                       
+                                       //should never be true since parser checks for this
+                                       if (it == thisNameMap.end()) { pDataArray->m->mothurOut(thisSeqs[i].getName() + " is not in your names file, please correct."); pDataArray->m->mothurOutEndLine(); error = true; }
+                                       else{
+                                               //get number of reps
+                                               int numReps = 1;
+                                               for(int j=0;j<(it->second).length();j++){
+                                                       if((it->second)[j] == ','){     numReps++;      }
+                                               }
+                                               
+                                               seqPNode tempNode(numReps, thisSeqs[i], it->second);
+                                               alignSeqs.push_back(tempNode);
+                                               if (thisSeqs[i].getAligned().length() > length) {  length = thisSeqs[i].getAligned().length();  }
+                                       }       
+                               }else { //no names file, you are identical to yourself 
+                                       seqPNode tempNode(1, thisSeqs[i], thisSeqs[i].getName());
+                                       alignSeqs.push_back(tempNode);
+                                       if (thisSeqs[i].getAligned().length() > length) {  length = thisSeqs[i].getAligned().length();  }
+                               }
+                       }
+                       
+                       //sanity check
+                       if (error) { pDataArray->m->control_pressed = true; }
+                       
+                       thisSeqs.clear();
+                       numSeqs = alignSeqs.size();
+                       
+                       ////////////////////////////////////////////////////
+                       
+                       if (pDataArray->m->control_pressed) {   delete parser; return 0; }
+                       
+                       if (pDataArray->diffs > length) { pDataArray->m->mothurOut("Error: diffs is greater than your sequence length."); pDataArray->m->mothurOutEndLine(); pDataArray->m->control_pressed = true; return 0;  }
+                       
+                       ////////////////////////////////////////////////////
+                       //int count = process(); - same function below
+                       
+                       ofstream out;
+                       pDataArray->m->openOutputFile(pDataArray->newMName+pDataArray->groups[k]+".map", out);
+                       pDataArray->mapFileNames.push_back(pDataArray->newMName+pDataArray->groups[k]+".map");
+                       
+                       //sort seqs by number of identical seqs
+                       sort(alignSeqs.begin(), alignSeqs.end(), comparePriority);
+                       
+                       int count = 0;
+                       
+                       //think about running through twice...
+                       for (int i = 0; i < numSeqs; i++) {
+                               
+                               //are you active
+                               //                      itActive = active.find(alignSeqs[i].seq.getName());
+                               
+                               if (alignSeqs[i].active) {  //this sequence has not been merged yet
+                                       
+                                       string chunk = alignSeqs[i].seq.getName() + "\t" + toString(alignSeqs[i].numIdentical) + "\t" + toString(0) + "\t" + alignSeqs[i].seq.getAligned() + "\n";
+
+                                       //try to merge it with all smaller seqs
+                                       for (int j = i+1; j < numSeqs; j++) {
+                                               
+                                               if (pDataArray->m->control_pressed) { delete parser; return 0; }
+                                               
+                                               if (alignSeqs[j].active) {  //this sequence has not been merged yet
+                                                       //are you within "diff" bases
+                                                       //int mismatch = calcMisMatches(alignSeqs[i].seq.getAligned(), alignSeqs[j].seq.getAligned());
+                                                       int mismatch = 0;
+                                                       
+                                                       for (int k = 0; k < alignSeqs[i].seq.getAligned().length(); k++) {
+                                                               //do they match
+                                                               if (alignSeqs[i].seq.getAligned()[k] != alignSeqs[j].seq.getAligned()[k]) { mismatch++; }
+                                                               if (mismatch > pDataArray->diffs) { mismatch = length; break; } //to far to cluster
+                                                       }
+                                                       
+                                                       if (mismatch <= pDataArray->diffs) {
+                                                               //merge
+                                                               alignSeqs[i].names += ',' + alignSeqs[j].names;
+                                                               alignSeqs[i].numIdentical += alignSeqs[j].numIdentical;
+                                                               
+                                                               alignSeqs[j].active = 0;
+                                                               alignSeqs[j].numIdentical = 0;
+                                                               alignSeqs[j].diffs = mismatch;
+                                                               count++;
+                                                               chunk += alignSeqs[j].seq.getName() + "\t" + toString(alignSeqs[j].numIdentical) + "\t" + toString(mismatch) + "\t" + alignSeqs[j].seq.getAligned() + "\n";
+                                                       }
+                                               }//end if j active
+                                       }//end for loop j
+                                       
+                                       //remove from active list 
+                                       alignSeqs[i].active = 0;
+                                       
+                                       out << "ideal_seq_" << (i+1) << '\t' << alignSeqs[i].numIdentical << endl << chunk << endl;
+                                       
+                               }//end if active i
+                               if(i % 100 == 0)        { pDataArray->m->mothurOut(toString(i) + "\t" + toString(numSeqs - count) + "\t" + toString(count)); pDataArray->m->mothurOutEndLine(); }
+                       }
+                       out.close();
+                       if(numSeqs % 100 != 0)  { pDataArray->m->mothurOut(toString(numSeqs) + "\t" + toString(numSeqs - count) + "\t" + toString(count)); pDataArray->m->mothurOutEndLine();   }       
+                       ////////////////////////////////////////////////////
+                       
+                       if (pDataArray->m->control_pressed) {  delete parser; return 0; }
+                       
+                       pDataArray->m->mothurOut("Total number of sequences before pre.cluster was " + toString(alignSeqs.size()) + ".");pDataArray-> m->mothurOutEndLine();
+                       pDataArray->m->mothurOut("pre.cluster removed " + toString(count) + " sequences."); pDataArray->m->mothurOutEndLine(); pDataArray->m->mothurOutEndLine(); 
+                       
+                       ////////////////////////////////////////////////////
+                       //printData(pDataArray->newFFile, pDataArray->newNFile); - same as below
+                       ofstream outFasta;
+                       ofstream outNames;
+                       
+                       pDataArray->m->openOutputFileAppend(pDataArray->newFName, outFasta);
+                       pDataArray->m->openOutputFileAppend(pDataArray->newNName, outNames);
+                                               
+                       for (int i = 0; i < alignSeqs.size(); i++) {
+                               if (alignSeqs[i].numIdentical != 0) {
+                                       alignSeqs[i].seq.printSequence(outFasta); 
+                                       outNames << alignSeqs[i].seq.getName() << '\t' << alignSeqs[i].names << endl;
+                               }
+                       }
+                       
+                       outFasta.close();
+                       outNames.close();
+                       ////////////////////////////////////////////////////
+                       
+                       pDataArray->m->mothurOut("It took " + toString(time(NULL) - start) + " secs to cluster " + toString(numSeqs) + " sequences."); pDataArray->m->mothurOutEndLine(); 
+                       
+               }
+               
+               return numSeqs;
+               
+
+       }
+       catch(exception& e) {
+               pDataArray->m->errorOut(e, "PreClusterCommand", "MyPreclusterThreadFunction");
+               exit(1);
+       }
+} 
+#endif
+
+/**************************************************************************************************/
+
+
+#endif
+
+