slidingWindow.cc

#include <Sequence/PolySites.hpp>
#include <Sequence/Fasta.hpp>
#include <Sequence/Alignment.hpp>
#include <Sequence/PolySNP.hpp>
#include <Sequence/PolyTableSlice.hpp>
#include <vector>
#include <iostream>

//Read in a data set of aligned sequence in Fasta
//format.  Create a polymorphism table.  Calculate
//Tajima's D for the whole table.  Then, run a sliding
//window of 1 segregating site (with a jump size of 1)
//along the SNP table, and use that to calculate Tajima's
//D for each site.

//This is a somewhat contrived example, but it illustrates
//the sliding window code.

int main(int argc, char **argv)
{
  const char * infilename = argv[1];
  std::vector<Sequence::Fasta> data;
  Sequence::Alignment::GetData(data,infilename);

  if ( Sequence::Alignment::IsAlignment(data) && 
       Sequence::Alignment::validForPolyAnalysis(data.begin(),data.end()) )
    {
      Sequence::PolySites SNPtable(data);
      if (! SNPtable.empty())
        {
          Sequence::PolySNP analyzeRegion(&SNPtable);
          std::cout << "Tajima's D for the region is: "<< analyzeRegion.TajimasD() << std::endl;
          
          Sequence::PolyTableSlice<Sequence::PolySites> windows(SNPtable.sbegin(),
                                                                SNPtable.send(),1u,1u);
          Sequence::PolyTableSlice<Sequence::PolySites>::const_iterator itr = windows.cbegin();
          while(itr < windows.cend())
            {
              Sequence::PolySites window = windows.get_slice(itr);
              Sequence::PolySNP analyzeWindow(&window);
              std::cout << "D for window " 
                        << itr-windows.cbegin()
                        << " is: "
                        << analyzeWindow.TajimasD()
                        << std::endl;
              ++itr;
            }
        }
    }
}