#include "command.hpp"
#include "sequence.hpp"
+#include "sequenceparser.h"
/************************************************************/
struct seqPNode {
~seqPNode() {}
};
/************************************************************/
+inline bool comparePriority(seqPNode first, seqPNode second) { return (first.numIdentical > second.numIdentical); }
+//************************************************************/
class PreClusterCommand : public Command {
void help() { m->mothurOut(getHelpString()); }
private:
- int diffs, length;
+
+ 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
void printData(string, string); //fasta filename, names file name
int process();
int loadSeqs(map<string, string>&, vector<Sequence>&);
+ int driverGroups(SequenceParser*, string, string, int, int, vector<string> groups);
+ int createProcessesGroups(SequenceParser*, 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).
+typedef struct preClusterData {
+ string fastafile;
+ string namefile;
+ string groupfile;
+ string newFName, newNName;
+ MothurOut* m;
+ int start;
+ int end;
+ int diffs, threadID;
+ vector<string> groups;
+
+ preClusterData(){}
+ preClusterData(string f, string n, string g, string nff, string nnf, vector<string> gr, MothurOut* mout, int st, int en, int d, int tid) {
+ fastafile = f;
+ namefile = n;
+ groupfile = g;
+ newFName = nff;
+ newNName = nnf;
+ m = mout;
+ start = st;
+ end = en;
+ diffs = d;
+ threadID = tid;
+ groups = gr;
+ }
+};
+/**************************************************************************************************/
+#if defined (__APPLE__) || (__MACH__) || (linux) || (__linux)
+#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
+
+ //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
+
+ //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;
+ count++;
+ }
+ }//end if j active
+ }//end if i != j
+
+ //remove from active list
+ alignSeqs[i].active = 0;
+
+ }//end if active i
+ if(i % 100 == 0) { pDataArray->m->mothurOut(toString(i) + "\t" + toString(numSeqs - count) + "\t" + toString(count)); pDataArray->m->mothurOutEndLine(); }
+ }
+
+ 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, "AlignCommand", "MyPreclusterThreadFunction");
+ exit(1);
+ }
+}
+#endif
+/**************************************************************************************************/
#endif
projects / mothur.git / blobdiff