code: def blastparser(self, report, sample):
          
          # Open the sequence profile file as a dictionary
          blastdict = DictReader(open(report), fieldnames=self.fieldnames, dialect='excel-tab')
          resultdict = dict()
          # Initialise a dictionary to store all the target sequences
          sample[self.analysistype].targetsequence = dict()
          # Go through each BLAST result
          for row in blastdict:
              # Calculate the percent identity and extract the bitscore from the row
              # Percent identity is the (length of the alignment - number of mismatches) / total subject length
              percentidentity = float('{:0.2f}'.format((float(row['positives']) - float(row['gaps'])) /
                                                       float(row['subject_length']) * 100))
              target = row['subject_id']
              # If the percent identity is greater than the cutoff
              if percentidentity >= self.cutoff:
                  # Update the dictionary with the target and percent identity
                  resultdict.update({target: percentidentity})
                  # Determine if the orientation of the sequence is reversed compared to the reference
                  if int(row['subject_end']) < int(row['subject_start']):
                      # Create a sequence object using Biopython
                      seq = Seq(row['query_sequence'], IUPAC.unambiguous_dna)
                      # Calculate the reverse complement of the sequence
                      querysequence = str(seq.reverse_complement())
                  # If the sequence is not reversed, use the sequence as it is in the output
                  else:
                      querysequence = row['query_sequence']
                  # Add the sequence in the correct orientation to the sample
                  sample[self.analysistype].targetsequence[target] = querysequence
              # Add the percent identity to the object
              sample[self.analysistype].blastresults = resultdict
          # Populate missing results with 'NA' values
          if len(resultdict) == 0:
              sample[self.analysistype].blastresults = 'NA'
docs: Parse the blast results, and store necessary data in dictionaries in sample object
          :param report: Name of the blast output report being parsed
          :param sample: sample object