void BOOM::FastaWriter::writeFasta(const BOOM::String &defline,
const BOOM::String &sequence,
const BOOM::String &filename)
{
ofstream os(filename.c_str());
addToFasta(defline,sequence.c_str(),os);
}
void Application::generateModel(const BOOM::String &filename,
const BOOM::String &startCodonModelFile)
{
// Create output file
ofstream os(filename.c_str());
os<<"SignalPeptide"<<endl;
// Copy the start codon model into the file
ifstream is(startCodonModelFile.c_str());
BOOM::String line;
while(!is.eof())
{
line.getline(is);
if(is.eof()) break;
os<<line<<endl;
}
// Write out each field separately
os<<numFields<<endl;
for(int fieldNum=0 ; fieldNum<numFields ; ++fieldNum)
{
Field &field=*fields[fieldNum];
// Count the number of codons (you just never know...)
BOOM::Map<char,float>::iterator aCur=field.aminoAcidFreqs.begin(),
aEnd=field.aminoAcidFreqs.end();
numCodons=0;
for(; aCur!=aEnd ; ++aCur)
{
char acid=(*aCur).first;
float &acidP=(*aCur).second;
BOOM::Map<BOOM::String,float> codons=codonFreqs[acid];
numCodons+=codons.size();
}
os<<field.fieldLength<<endl;
os<<numCodons<<endl;
aCur=field.aminoAcidFreqs.begin(); aEnd=field.aminoAcidFreqs.end();
for(; aCur!=aEnd ; ++aCur)
{
char acid=(*aCur).first;
float &acidP=(*aCur).second;
BOOM::Map<BOOM::String,float> codons=codonFreqs[acid];
BOOM::Map<BOOM::String,float>::iterator cur=codons.begin(),
end=codons.end();
for(; cur!=end ; ++cur)
{
BOOM::String codon=(*cur).first;
float codonP=(*cur).second;
float logP=log(acidP*codonP);
os<<codon<<" "<<logP<<endl;
}
}
}
}
double BOOM::SequenceEntropy::entropy(const BOOM::String &str,
double &maxEntropy)
{
int len=str.length();
BOOM::StringMap<int> counts(hashTableSize(0));
const char *p=str.c_str();
int total=0;
for(int i=0 ; i<len ; ++i, ++p)
{
if(counts.isDefined(p,1))
++counts.lookup(p,1);
else
counts.lookup(p,1)=1;
++total;
}
double entropy=0;
StringMapIterator<int> cur=counts.begin(), end=counts.end();
for(; cur!=end ; ++cur)
{
int count=(*cur).second;
double p=count/double(total);
entropy-=p*lg(p);
}
maxEntropy=-lg(1.0/counts.size());
if(entropy>maxEntropy) entropy=maxEntropy;
return entropy;
}
bool IMM::save(const BOOM::String &filename)
{
ofstream os(filename.c_str());
if(!os.good()) throw BOOM::String("Error creating file ")+filename+
"in IMM::save()";
return save(os);
}
bool ThreePeriodicMarkovChain::save(const BOOM::String &filename)
{
ofstream os(filename.c_str());
if(!os.good()) throw BOOM::String("Error creating file ")+filename+
"in ThreePeriodicMarkovChain::save()";
return save(os);
}
double BOOM::SequenceEntropy::jointEntropy(const BOOM::String &str,
int order,
double &maxEntropy)
{
int len=str.length();
int gramSize=order+1;
if(gramSize>=len)
throw BOOM::String("Order ")+order+
" is too large for sequence of length "+len;
int numWindows=len-gramSize+1;
BOOM::StringMap<int> counts(hashTableSize(order));
const char *p=str.c_str();
int total=0;
for(int i=0 ; i<numWindows ; ++i, ++p)
{
if(counts.isDefined(p,gramSize))
++counts.lookup(p,gramSize);
else
counts.lookup(p,gramSize)=1;
++total;
}
double entropy=0;
StringMapIterator<int> cur=counts.begin(), end=counts.end();
for(; cur!=end ; ++cur)
{
int count=(*cur).second;
double p=count/double(total);
entropy-=p*lg(p);
}
maxEntropy=-lg(1.0/counts.size());
if(entropy>maxEntropy) entropy=maxEntropy;
return entropy;
}
void Application::writeHistogramFile(BOOM::Vector<double> &scores,
const BOOM::String &filename)
{
ofstream os(filename.c_str());
BOOM::Vector<double>::iterator cur=scores.begin(), end=scores.end();
for(; cur!=end ; ++cur)
os<<*cur<<endl;
}
bool BranchAcceptor::save(const BOOM::String &filename)
{
ofstream os(filename.c_str());
if(!os.good())
throw BOOM::String("Error creating file ")+filename+
"in BranchPoint::save()";
return save(os);
}
void SignalSensor::addConsensus(const BOOM::String &s)
{
int len=s.length();
if(consensusLength>0 && consensusLength!=len)
throw BOOM::String(
"Consensus lengths differ in SignalSensor::addConsensus");
consensusLength=len;
consensuses.lookup(s.c_str(),len)=char(1);
}
IMM::IMM(const BOOM::String &filename)
: revComp(NULL), models(new BOOM::Vector<BOOM::StringMap<double>*>)
{
ifstream is(filename.c_str());
if(!is.good()) throw BOOM::String("Error opening file ")+filename
+" in IMM::IMM()";
BOOM::String modelType;
is >> modelType;
if(modelType!="IMM")
throw BOOM::String("Attempt to load an object of type ")+modelType+
" into an IMM";
load(is);
}
ThreePeriodicMarkovChain::ThreePeriodicMarkovChain(const BOOM::String &
filename)
{
ifstream is(filename.c_str());
if(!is.good()) throw BOOM::String("Error opening file ")+filename
+" in ThreePeriodicMarkovChain()";
BOOM::String modelType;
is >> modelType;
if(modelType!="3P")
throw BOOM::String("Attempt to load an object of type ")+modelType+
" into a ThreePeriodicMarkovChain (3P)";
load(is);
}
void Application::updateCodonFreqs(const BOOM::String &transcript)
{
const char *str=transcript.c_str();
int len=transcript.length();
const char *p=str;
for(int i=0 ; i<len ; i+=3, p+=3)
{
BOOM::String codon(p,3);
char acid=BOOM::ProteinTrans::mapCodon(codon.c_str());
BOOM::Map<BOOM::String,float> &counts=codonFreqs[acid];
if(!counts.isDefined(codon)) counts[codon]=1;
else ++counts[codon];
}
}
void EmpiricalDistribution::load(const BOOM::String &filename)
{
ifstream is(filename.c_str());
if(!is.good()) throw BOOM::String("Error opening file ")+filename+
" in EmpiricalDistribution::load()";
while(!is.eof())
{
unsigned x;
double y;
is >> x;
if(is.eof()) break;
is >> y;
v.push_back(new EmpiricalDistributionElement(x,y));
}
binSize=v[1]->first-v[0]->first;
}
BranchAcceptor::BranchAcceptor(GarbageCollector &gc,BOOM::String &filename)
: SignalSensor(gc),
branchPoint(NULL),
acceptor(NULL)
{
// ctor
ifstream is(filename.c_str());
if(!is.good()) throw BOOM::String("Error opening file ")+filename+
"in BranchAcceptor::BranchAcceptor()";
BOOM::String modelType;
is >> modelType;
if(modelType!="BranchAcceptor")
throw BOOM::String("Attempt to load an object of type ")+modelType+
"in into a BranchAcceptor";
load(is);
}
double IMM::scoreSingleBase(const Sequence &seq,const BOOM::String &str,
int index,Symbol s,char c)
{
const char *p=str.c_str();
switch(getStrand())
{
case PLUS_STRAND:
{
int maxOrder=(index>N ? N : index);
for(int order=maxOrder ; order>=0 ; --order)
{
BOOM::StringMap<double> &model=*(*models)[order];
if(model.isDefined(p,index-order,order+1))
return model.lookup(p,index-order,order+1);
}
throw BOOM::String("IMM::scoreSingleBase('+',")+
index+",strlen="+strlen(p)+",str="+
str.substring(index,maxOrder)+")";
}
case MINUS_STRAND:
{
/*
On the minus strand we have to take our contexts from the
right (but only because we trained the model that way)
*/
int seqLen=str.length();
int maxOrder=seqLen-index-1;
if(maxOrder>N) maxOrder=N;
for(int order=maxOrder ; order>=0 ; --order)
{
BOOM::StringMap<double> &model=*(*models)[order];
if(model.isDefined(p,index,order+1))
return model.lookup(p,index,order+1);
}
throw BOOM::Stacktrace(
BOOM::String("IMM::scoreSingleBase('-',")+
index+",strlen="+strlen(p)+",str="+
str.substring(index,maxOrder)+")");
}
default: throw BOOM::String(__FILE__)+__LINE__;
}
}
double BOOM::SequenceEntropy::conditionalEntropy(const BOOM::String &str,
int order)
{
if(order<1)
throw "BOOM::SequenceEntropy::conditionalEntropy() : order<1";
int len=str.length();
int gramSize=order+1;
if(gramSize>=len)
throw BOOM::String("Order ")+order+
" is too large for sequence of length "+len;
int numWindows=len-gramSize+1;
BOOM::StringMap<int> counts(hashTableSize(order));
BOOM::StringMap<int> prefixCounts(hashTableSize(order-1));
const char *p=str.c_str();
int total=0;
for(int i=0 ; i<numWindows ; ++i, ++p)
{
if(counts.isDefined(p,gramSize))
++counts.lookup(p,gramSize);
else
counts.lookup(p,gramSize)=1;
if(prefixCounts.isDefined(p,gramSize-1))
++prefixCounts.lookup(p,gramSize-1);
else
prefixCounts.lookup(p,gramSize-1)=1;
++total;
}
double entropy=0;
StringMapIterator<int> cur=counts.begin(), end=counts.end();
for(; cur!=end ; ++cur)
{
int count=(*cur).second;
const char *s=(*cur).first;
double p=count/double(total);
double condP=count/double(prefixCounts.lookup(s,gramSize-1));
entropy-=p*lg(condP);
}
return entropy;
}
BOOM::String BOOM::String::substitute(const BOOM::String &from,
const BOOM::String &to) const
{
BOOM::String rval;
const char *pattern=from.c_str();
int patternLen=from.length();
const char *ptr=c_str();
const char *last=ptr+length()-patternLen;
while(ptr<=last) {
if(localMatch(ptr,pattern,patternLen)) {
ptr+=patternLen;
rval+=to;
}
else {
rval+=*ptr;
ptr++;
}
}
//int extra=patternLen-1;
//for(int i=0 ; i<extra ; ++i) rval+=*ptr++;
for(; *ptr ; ++ptr) rval+=*ptr;
return rval;
}
void Application::writeOutput(const BOOM::String &tataFile,
const BOOM::String &outfile)
{
// Load TATA model
SignalSensor *tata=SignalSensor::load(tataFile,GC);
// Create output file and write header
ofstream os(outfile.c_str());
os.precision(8);
os<<"TataCapModel"<<endl;
os<<minSeparation<<"\t"<<maxSeparation<<endl;
// Write out the TATA model
tata->save(os);
// Write out the intergenic model
Alphabet &alphabet=DnaAlphabet::global();
os<<"MC\nINTERGENIC\n0\t0\t1\n5"<<endl;
os<<"A\n"<<intergenicModel[alphabet.lookup('A')]<<endl;
os<<"C\n"<<intergenicModel[alphabet.lookup('C')]<<endl;
os<<"G\n"<<intergenicModel[alphabet.lookup('G')]<<endl;
os<<"N\n"<<intergenicModel[alphabet.lookup('N')]<<endl;
os<<"T\n"<<intergenicModel[alphabet.lookup('T')]<<endl;
os<<"MC\nINTERGENIC\n0\t0\t1\n5"<<endl;
os<<"A\n"<<intergenicModel[alphabet.lookup('T')]<<endl;
os<<"C\n"<<intergenicModel[alphabet.lookup('G')]<<endl;
os<<"G\n"<<intergenicModel[alphabet.lookup('C')]<<endl;
os<<"N\n"<<intergenicModel[alphabet.lookup('N')]<<endl;
os<<"T\n"<<intergenicModel[alphabet.lookup('A')]<<endl;
// Write out the CAP model
capModel->save(os);
// Write out the CAP/intergenic ratio model
capIntergenicRatioModel->save(os);
}
BOOM::String BOOM::String::operator+(const BOOM::String &s) const
{
return BOOM::String(*this+s.c_str());
}
bool BOOM::String::stricmp(const BOOM::String &str) const
{
return strcasecmp(c_str(),str.c_str());
}
bool BOOM::String::occursAt(const BOOM::String &substring,int pos) const
{
return localMatch(substring.c_str(),c_str()+pos,substring.size());
}
bool BOOM::String::contains(const BOOM::String &s) const
{
return find(s.c_str())!=npos;
}
void NmerRateMatrix::save(const BOOM::String &filename)
{
ofstream os(filename.c_str());
save(os);
}
void FastaWriter::appendToFasta(const BOOM::String &defline,const
BOOM::String &sequence,const BOOM::String &filename)
{
ofstream os(filename.c_str(),std::ios::app); // ios_base::app);
addToFasta(defline,sequence,os);
}
void BOOM::FastaWriter::addToFasta(const BOOM::String &defline,
const BOOM::String &sequence,
ostream &os)
{
addToFasta(defline,sequence.c_str(),os);
}
bool SignalSensor::consensusOccursAt(const BOOM::String &str,int index)
{
return consensuses.isDefined(str.c_str(),index,consensusLength);
}