def reporter(metadata, analysistype, reportpath):
        """
        Create the core genome report
        :param metadata: type LIST: List of metadata objects
        :param analysistype: type STR: Current analysis type
        :param reportpath: type STR: Absolute path to folder in which the reports are to be created
        :return:
        """
        header = 'Strain,ClosestRef,GenesPresent/Total,\n'
        data = str()
        for sample in metadata:
            try:
                if sample[analysistype].blastresults != 'NA':
                    if sample.general.closestrefseqgenus == 'Listeria':
                        # Write the sample name, closest ref genome, and the # of genes found / total # of genes
                        closestref = list(sample[analysistype].blastresults.items())[0][0]
                        coregenes = list(sample[analysistype].blastresults.items())[0][1][0]
                        # Find the closest reference file
                        try:
                            ref = glob(os.path.join(sample[analysistype].targetpath, '{fasta}*'
                                                    .format(fasta=closestref)))[0]
                        except IndexError:
                            # Replace underscores with dashes to find files
                            closestref = closestref.replace('_', '-')
                            ref = glob(os.path.join(sample[analysistype].targetpath, '{fasta}*'
                                                    .format(fasta=closestref)))[0]
                        # Determine the number of core genes present in the closest reference file
                        totalcore = 0
                        for _ in SeqIO.parse(ref, 'fasta'):
                            totalcore += 1
                        # Add the data to the object
                        sample[analysistype].targetspresent = coregenes
                        sample[analysistype].totaltargets = totalcore
                        sample[analysistype].coreresults = '{cg}/{tc}'.format(cg=coregenes,
                                                                              tc=totalcore)
                        row = '{sn},{cr},{cg}/{tc}\n'.format(sn=sample.name,
                                                             cr=closestref,
                                                             cg=coregenes,
                                                             tc=totalcore)
                        # Open the report
                        with open(os.path.join(sample[analysistype].reportdir,
                                               '{sn}_{at}.csv'.format(sn=sample.name,
                                                                      at=analysistype)), 'w') as report:
                            # Write the row to the report
                            report.write(header)
                            report.write(row)
                        data += row
                    else:
                        sample[analysistype].targetspresent = 'NA'
                        sample[analysistype].totaltargets = 'NA'
                        sample[analysistype].coreresults = 'NA'
            except KeyError:
                sample[analysistype].targetspresent = 'NA'
                sample[analysistype].totaltargets = 'NA'
                sample[analysistype].coreresults = 'NA'
        with open(os.path.join(reportpath, 'coregenome.csv'), 'w') as report:
            # Write the data to the report
            report.write(header)
            report.write(data)
Create the core genome report
        :param metadata: type LIST: List of metadata objects
        :param analysistype: type STR: Current analysis type
        :param reportpath: type STR: Absolute path to folder in which the reports are to be created
        :return: