Traditional interpretation of DNA typing results from evidence is performed using so-called binary methods. These methods are prone to subjective interpretation of results by analysts. Probabilistic genotyping using continuous models makes use of the allele peak data from an electropherogram for a more powerful interpretation. We employ STRmix^™  probabilistic genotyping software to aid in the interpretation of DNA typing results from evidence comprised of up to four contributors. STRmix^™  uses an MCMC-based fully-continuous analysis to determine the probable genotypes of the contributors to a DNA result.