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

def blastparser(self, report, sample):
        """
        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
        """
        # 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'