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diff --git a/src/matlab/multifasta2otu/multifasta2otutable_rdp7_octave.m b/src/matlab/multifasta2otu/multifasta2otutable_rdp7_octave.m
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+++ b/src/matlab/multifasta2otu/multifasta2otutable_rdp7_octave.m
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+%This is an example of how to run Quikr on the default RDP_7 training set

+

+%make sure Matlab/Octave is in your path

+%cd /path/to/Quikr

+

+%User-defined variables

+input_directory='../../separated_samples'; %path to input directory of samples

+output_directory='quikr_results'; %path to where want output files to go

+otu_table_name='rdp_otu_table.txt'; %name of output otu_table filename

+%Do not have to define trainingdatabase file here

+

+mkdir([output_directory])

+thedirs=dir([input_directory]);

+thetime=zeros(numel(thedirs)-1,1);

+names={};

+

+species=struct();

+keys={};

+

+tic()

+

+[headers,~]=fastaread('trainset7_112011.fa'); %read in the training database

+

+i=0;

+%for numdirs=3:5

+for numdirs=3:numel(thedirs)

+i=i+1;

+disp([num2str(i) ' out of ' num2str(numel(thedirs)-2)])

+fastafilename=[input_directory '/' thedirs(numdirs).name];

+[loadfasta,~]=fastaread(fastafilename);

+numreads=numel(loadfasta);

+xstar=quikr(fastafilename); %this will give the predicted reconstruction frequencies

+

+nonzeroentries=find(xstar); %get the indicies of the sequences quikr predicts are in your sample

+proportionscell=num2cell(xstar(nonzeroentries)); %convert the concentrations into a cell array

+namescell=headers(nonzeroentries); %Get the names of the sequences

+namesandproportions={namescell{:}; proportionscell{:}}; %This cell array contains the (unsorted) names of the reconstructed sequences and their concentrations (in the first and second columns respectively)

+

+[a cols]=size(namesandproportions);

+amount=zeros(cols,1);

+for j=1:cols

+  names{j}=namesandproportions{1,j}(1:strfind(namesandproportions{1,j},' ')-1);

+  names{j}=strrep(names{j},'|','_');

+  amount(j)=namesandproportions{2,j};

+if strcmp(keys,names{j})

+	temp=species.(names{j});

+      	temp(i)=round(amount(j).*numreads);

+      	species.(names{j})=temp;

+  else

+      temp=zeros(numel(thedirs)-3+1,1);

+      temp(i)=round(amount(j).*numreads);

+      if temp(i)==0

+	% do not make a key -- has insignificant counts

+      else

+      species.(names{j})=temp;

+      keys{end+1}=names{j};

+      end

+  end

+end

+

+thefa=strfind(thedirs(numdirs).name,'.fa');

+

+if ~isempty(thedirs(numdirs).name(1:thefa-1))

+	sampleid{i}=thedirs(numdirs).name(1:thefa-1);

+else

+	sampleid{i}='empty_sampleid';

+end

+thetime(i+1)=toc();

+thetime(i+1)

+

+end

+

+disp('Total time to compute Quikr:')

+toc()

+disp('Quickr Average time per file:')

+mean(diff(thetime(1:i+1)))

+

+tic();

+numits=i;

+

+

+fid=fopen([output_directory '/' otu_table_name],'w');

+fprintf(fid,'# QIIME vGail OTU table\n');

+fprintf(fid,'#OTU_ID\t');

+for i=1:numits

+if i<numits

+fprintf(fid,'%s\t',sampleid{i});

+else

+fprintf(fid,'%s',sampleid{i});

+end

+end

+fprintf(fid,'\n');

+

+for k=1:numel(keys)

+truncname=strrep(keys{k},'_','|');

+  fprintf(fid,'%s',truncname);

+

+  temp(:,k)=species.(keys{k});

+        for i=1:numits

+		fprintf(fid,'\t%d',temp(i,k));

+	end

+fprintf(fid,'\n');

+end

+fclose(fid);

+

+disp('Time to output OTU Table')

+toc()