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fan needed, particularly for larger sample cohorts. Current HRM soft-ware plots variations in melt curve shape and position, however, the ability to statistically quantify differences is not supported. At present, the data analysis procedure typically uses melt curve fluorescence normalization followed by a simple subtraction (dif-ference) plot generated from a known control sample. Although the method allows automated genotyping, no formal statistical information is provided to indicate the likelihood an unknown sample is of a known genotype (discriminant analysis or ‘‘super-Abbreviations: HRM, high resolution melting; SNP, single nucleotide polymor-phism; PC, principle component; LDA, linear discriminant analysis; NTC, n