RcppExport SEXP treePhaser(SEXP Rsignal, SEXP RkeyFlow, SEXP RflowCycle,
SEXP Rcf, SEXP Rie, SEXP Rdr, SEXP Rbasecaller, SEXP RdiagonalStates,
SEXP RmodelFile, SEXP RmodelThreshold, SEXP Rxval, SEXP Ryval)
{
SEXP ret = R_NilValue;
char *exceptionMesg = NULL;
try {
Rcpp::NumericMatrix signal(Rsignal);
Rcpp::IntegerVector keyFlow(RkeyFlow);
string flowCycle = Rcpp::as<string>(RflowCycle);
Rcpp::NumericVector cf_vec(Rcf);
Rcpp::NumericVector ie_vec(Rie);
Rcpp::NumericVector dr_vec(Rdr);
string basecaller = Rcpp::as<string>(Rbasecaller);
unsigned int diagonalStates = Rcpp::as<int>(RdiagonalStates);
// Recalibration Variables
string model_file = Rcpp::as<string>(RmodelFile);
int model_threshold = Rcpp::as<int>(RmodelThreshold);
Rcpp::IntegerVector x_values(Rxval);
Rcpp::IntegerVector y_values(Ryval);
RecalibrationModel recalModel;
if (model_file.length() > 0) {
recalModel.InitializeModel(model_file, model_threshold);
}
ion::FlowOrder flow_order(flowCycle, flowCycle.length());
unsigned int nFlow = signal.cols();
unsigned int nRead = signal.rows();
if(basecaller != "treephaser-swan" && basecaller != "treephaser-solve" && basecaller != "dp-treephaser" && basecaller != "treephaser-adaptive") {
std::string exception = "base value for basecaller supplied: " + basecaller;
exceptionMesg = strdup(exception.c_str());
} else if (flowCycle.length() < nFlow) {
std::string exception = "Flow cycle is shorter than number of flows to solve";
exceptionMesg = strdup(exception.c_str());
} else {
// Prepare objects for holding and passing back results
Rcpp::NumericMatrix predicted_out(nRead,nFlow);
Rcpp::NumericMatrix residual_out(nRead,nFlow);
Rcpp::NumericMatrix norm_additive_out(nRead,nFlow);
Rcpp::NumericMatrix norm_multipl_out(nRead,nFlow);
std::vector< std::string> seq_out(nRead);
// Set up key flow vector
int nKeyFlow = keyFlow.size();
vector <int> keyVec(nKeyFlow);
for(int iFlow=0; iFlow < nKeyFlow; iFlow++)
keyVec[iFlow] = keyFlow(iFlow);
// Iterate over all reads
vector <float> sigVec(nFlow);
BasecallerRead read;
DPTreephaser dpTreephaser(flow_order);
dpTreephaser.SetStateProgression((diagonalStates>0));
// In contrast to pipeline, we always use droop here.
// To have the same behavior of treephaser-swan as in the pipeline, supply dr=0
bool per_read_phasing = true;
if (cf_vec.size() == 1) {
per_read_phasing = false;
dpTreephaser.SetModelParameters((double)cf_vec(0), (double)ie_vec(0), (double)dr_vec(0));
}
// Main loop iterating over reads and solving them
for(unsigned int iRead=0; iRead < nRead; iRead++) {
// Set phasing parameters for this read
if (per_read_phasing)
dpTreephaser.SetModelParameters((double)cf_vec(iRead), (double)ie_vec(iRead), (double)dr_vec(iRead));
// And load recalibration model
if (recalModel.is_enabled()) {
int my_x = (int)x_values(iRead);
int my_y = (int)y_values(iRead);
const vector<vector<vector<float> > > * aPtr = 0;
const vector<vector<vector<float> > > * bPtr = 0;
aPtr = recalModel.getAs(my_x, my_y);
bPtr = recalModel.getBs(my_x, my_y);
if (aPtr == 0 or bPtr == 0) {
cout << "Error finding a recalibration model for x: " << x_values(iRead) << " y: " << y_values(iRead);
cout << endl;
}
dpTreephaser.SetAsBs(aPtr, bPtr);
}
for(unsigned int iFlow=0; iFlow < nFlow; iFlow++)
sigVec[iFlow] = (float) signal(iRead,iFlow);
// Interface to just solve without any normalization
if (basecaller == "treephaser-solve") { // Interface to just solve without any normalization
read.SetData(sigVec, (int)nFlow);
}
else {
read.SetDataAndKeyNormalize(&(sigVec[0]), (int)nFlow, &(keyVec[0]), nKeyFlow-1);
}
// Execute the iterative solving-normalization routine
if (basecaller == "dp-treephaser") {
dpTreephaser.NormalizeAndSolve_GainNorm(read, nFlow);
}
else if (basecaller == "treephaser-solve") {
dpTreephaser.Solve(read, nFlow);
}
else if (basecaller == "treephaser-adaptive") {
dpTreephaser.NormalizeAndSolve_Adaptive(read, nFlow); // Adaptive normalization
}
else {
dpTreephaser.NormalizeAndSolve_SWnorm(read, nFlow); // sliding window adaptive normalization
}
seq_out[iRead].assign(read.sequence.begin(), read.sequence.end());
for(unsigned int iFlow=0; iFlow < nFlow; iFlow++) {
predicted_out(iRead,iFlow) = (double) read.prediction[iFlow];
residual_out(iRead,iFlow) = (double) read.normalized_measurements[iFlow] - read.prediction[iFlow];
norm_multipl_out(iRead,iFlow) = (double) read.multiplicative_correction.at(iFlow);
norm_additive_out(iRead,iFlow) = (double) read.additive_correction.at(iFlow);
}
}
// Store results
ret = Rcpp::List::create(Rcpp::Named("seq") = seq_out,
Rcpp::Named("predicted") = predicted_out,
Rcpp::Named("residual") = residual_out,
Rcpp::Named("norm_additive") = norm_additive_out,
Rcpp::Named("norm_multipl") = norm_multipl_out);
}
} catch(std::exception& ex) {
forward_exception_to_r(ex);
} catch(...) {
::Rf_error("c++ exception (unknown reason)");
}
if(exceptionMesg != NULL)
Rf_error(exceptionMesg);
return ret;
}
RcppExport SEXP treePhaser(SEXP Rsignal, SEXP RkeyFlow, SEXP RflowCycle, SEXP Rcf, SEXP Rie, SEXP Rdr, SEXP Rbasecaller)
{
SEXP ret = R_NilValue;
char *exceptionMesg = NULL;
try {
RcppMatrix<double> signal(Rsignal);
RcppVector<int> keyFlow(RkeyFlow);
string flowCycle = Rcpp::as<string>(RflowCycle);
double cf = Rcpp::as<double>(Rcf);
double ie = Rcpp::as<double>(Rie);
double dr = Rcpp::as<double>(Rdr);
string basecaller = Rcpp::as<string>(Rbasecaller);
unsigned int nFlow = signal.cols();
unsigned int nRead = signal.rows();
if(basecaller != "treephaser-swan" && basecaller != "dp-treephaser" && basecaller != "treephaser-adaptive") {
std::string exception = "base value for basecaller supplied: " + basecaller;
exceptionMesg = copyMessageToR(exception.c_str());
} else if (flowCycle.length() < nFlow) {
std::string exception = "Flow cycle is shorter than number of flows to solve";
exceptionMesg = copyMessageToR(exception.c_str());
} else {
// Prepare objects for holding and passing back results
RcppMatrix<double> predicted_out(nRead,nFlow);
RcppMatrix<double> residual_out(nRead,nFlow);
RcppMatrix<int> hpFlow_out(nRead,nFlow);
std::vector< std::string> seq_out(nRead);
// Set up key flow vector
int nKeyFlow = keyFlow.size();
vector <int> keyVec(nKeyFlow);
for(int iFlow=0; iFlow < nKeyFlow; iFlow++)
keyVec[iFlow] = keyFlow(iFlow);
// Iterate over all reads
vector <float> sigVec(nFlow);
string result;
for(unsigned int iRead=0; iRead < nRead; iRead++) {
for(unsigned int iFlow=0; iFlow < nFlow; iFlow++)
sigVec[iFlow] = (float) signal(iRead,iFlow);
BasecallerRead read;
read.SetDataAndKeyNormalize(&(sigVec[0]), (int)nFlow, &(keyVec[0]), nKeyFlow-1);
DPTreephaser dpTreephaser(flowCycle.c_str(), flowCycle.length(), 8);
if (basecaller == "dp-treephaser")
dpTreephaser.SetModelParameters(cf, ie, dr);
else
dpTreephaser.SetModelParameters(cf, ie, 0); // Adaptive normalization
// Execute the iterative solving-normalization routine
if (basecaller == "dp-treephaser")
dpTreephaser.NormalizeAndSolve4(read, nFlow);
else if (basecaller == "treephaser-adaptive")
dpTreephaser.NormalizeAndSolve3(read, nFlow); // Adaptive normalization
else
dpTreephaser.NormalizeAndSolve5(read, nFlow); // sliding window adaptive normalization
read.flowToString(flowCycle,seq_out[iRead]);
for(unsigned int iFlow=0; iFlow < nFlow; iFlow++) {
predicted_out(iRead,iFlow) = (double) read.prediction[iFlow];
residual_out(iRead,iFlow) = (double) read.normalizedMeasurements[iFlow] - read.prediction[iFlow];
hpFlow_out(iRead,iFlow) = (int) read.solution[iFlow];
}
// Store results
RcppResultSet rs;
rs.add("seq", seq_out);
rs.add("predicted", predicted_out);
rs.add("residual", residual_out);
rs.add("hpFlow", hpFlow_out);
ret = rs.getReturnList();
}
}
} catch(std::exception& ex) {
exceptionMesg = copyMessageToR(ex.what());
} catch(...) {
exceptionMesg = copyMessageToR("unknown reason");
}
if(exceptionMesg != NULL)
Rf_error(exceptionMesg);
return ret;
}
RcppExport SEXP phaseSolve(SEXP Rsignal, SEXP RflowCycle, SEXP RnucConc, SEXP Rcf, SEXP Rie, SEXP Rdr, SEXP RhpScale, SEXP RdroopType, SEXP RmaxAdv, SEXP RnIterations, SEXP RresidualScale, SEXP RresidualScaleMinFlow, SEXP RresidualScaleMaxFlow, SEXP RextraTaps, SEXP RdebugBaseCall)
{
SEXP ret = R_NilValue;
char *exceptionMesg = NULL;
try {
Rcpp::NumericMatrix signal(Rsignal);
string flowCycle = Rcpp::as<string>(RflowCycle);
Rcpp::NumericMatrix cc(RnucConc);
Rcpp::NumericVector cf(Rcf);
Rcpp::NumericVector ie(Rie);
Rcpp::NumericVector dr(Rdr);
Rcpp::NumericVector hpScale(RhpScale);
string drType = Rcpp::as<string>(RdroopType);
unsigned int maxAdv = (unsigned int) Rcpp::as<int>(RmaxAdv);
unsigned int nIterations = (unsigned int) Rcpp::as<int>(RnIterations);
unsigned int extraTaps = (unsigned int) Rcpp::as<int>(RextraTaps);
bool residualScale = Rcpp::as<bool>(RresidualScale);
int residualScaleMinFlow = Rcpp::as<int>(RresidualScaleMinFlow);
int residualScaleMaxFlow = Rcpp::as<int>(RresidualScaleMaxFlow);
bool debugBaseCall = Rcpp::as<bool>(RdebugBaseCall);
unsigned int nFlow = signal.cols();
unsigned int nRead = signal.rows();
DroopType droopType;
bool badDroopType = false;
if(drType == "ONLY_WHEN_INCORPORATING") {
droopType = ONLY_WHEN_INCORPORATING;
} else if(drType == "EVERY_FLOW") {
droopType = EVERY_FLOW;
} else {
badDroopType = true;
}
if(badDroopType) {
std::string exception = "bad droop type supplied\n";
exceptionMesg = strdup(exception.c_str());
} else if(cc.rows() != (int) N_NUCLEOTIDES) {
std::string exception = "concentration matrix should have 4 rows\n";
exceptionMesg = strdup(exception.c_str());
} else if(cc.cols() != (int) N_NUCLEOTIDES) {
std::string exception = "concentration matrix should have 4 columns\n";
exceptionMesg = strdup(exception.c_str());
} else {
// recast cf, ie, dr, hpScale
weight_vec_t cfMod(cf.size());
for(int i=0; i<cf.size(); i++)
cfMod[i] = cf(i);
weight_vec_t ieMod(ie.size());
for(int i=0; i<ie.size(); i++)
ieMod[i] = ie(i);
weight_vec_t drMod(dr.size());
for(int i=0; i<dr.size(); i++)
drMod[i] = dr(i);
weight_vec_t hpScaleMod(hpScale.size());
for(int i=0; i<hpScale.size(); i++)
hpScaleMod[i] = hpScale(i);
// recast nuc concentration
vector<weight_vec_t> ccMod(cc.rows());
for(int iRow=0; iRow < cc.rows(); iRow++) {
ccMod[iRow].resize(cc.cols());
for(unsigned int iCol=0; iCol < N_NUCLEOTIDES; iCol++)
ccMod[iRow][iCol] = cc(iRow,iCol);
}
// Other recasts
hpLen_t maxAdvMod = (hpLen_t) maxAdv;
// Prepare objects for holding and passing back results
Rcpp::NumericMatrix predicted_out(nRead,nFlow);
Rcpp::NumericMatrix residual_out(nRead,nFlow);
Rcpp::IntegerMatrix hpFlow_out(nRead,nFlow);
std::vector< std::string> seq_out(nRead);
Rcpp::NumericMatrix multiplier_out(nRead,1+nIterations);
// Iterate over all reads
weight_vec_t sigMod(nFlow);
string result;
for(unsigned int iRead=0; iRead < nRead; iRead++) {
for(unsigned int iFlow=0; iFlow < nFlow; iFlow++)
sigMod[iFlow] = (weight_t) signal(iRead,iFlow);
PhaseSolve p;
p.SetResidualScale(residualScale);
if(residualScaleMinFlow >= 0)
p.SetResidualScaleMinFlow((unsigned int) residualScaleMinFlow);
if(residualScaleMaxFlow >= 0)
p.SetResidualScaleMaxFlow((unsigned int) residualScaleMaxFlow);
p.setExtraTaps(extraTaps);
p.setHpScale(hpScaleMod);
p.setPhaseParam(flowCycle,maxAdvMod,ccMod,cfMod,ieMod,drMod,droopType);
p.GreedyBaseCall(sigMod, nIterations, debugBaseCall);
p.getSeq(result);
seq_out[iRead] = result;
weight_vec_t & predicted = p.GetPredictedSignal();
weight_vec_t & residual = p.GetResidualSignal();
hpLen_vec_t & hpFlow = p.GetPredictedHpFlow();
for(unsigned int iFlow=0; iFlow < nFlow; iFlow++) {
predicted_out(iRead,iFlow) = (double) predicted[iFlow];
residual_out(iRead,iFlow) = (double) residual[iFlow];
hpFlow_out(iRead,iFlow) = (int) hpFlow[iFlow];
}
if(residualScale) {
weight_vec_t & multiplier = p.GetMultiplier();
// We re-order these so the last multiplier comes first. This is for convenience
// as it allows us grab the first col of the matrix as the last multiplier applied
// even if each read ended up taking different numbers of iterations.
unsigned int i1,i2;
for(i1=0,i2=multiplier.size()-1; i1 < multiplier.size(); i1++,i2--) {
multiplier_out(iRead,i1) = (double) multiplier[i2];
}
// If the read took fewer than all available iterations, pad with zero
for(; i1 <= nIterations; i1++) {
multiplier_out(iRead,i1) = 0;
}
}
}
// Store results
std::map<std::string,SEXP> map;
map["seq"] = Rcpp::wrap( seq_out );
map["predicted"] = Rcpp::wrap( predicted_out );
map["residual"] = Rcpp::wrap( residual_out );
map["hpFlow"] = Rcpp::wrap( hpFlow_out );
if(residualScale)
map["multiplier"] = Rcpp::wrap( multiplier_out );
ret = Rcpp::wrap( map );
}
} catch(std::exception& ex) {
forward_exception_to_r(ex);
} catch(...) {
::Rf_error("c++ exception (unknown reason)");
}
if(exceptionMesg != NULL)
Rf_error(exceptionMesg);
return ret;
}
