Distance-based classification and quantification of mixed microbiomes

Detecting prevalence of organisms in composite samples can be important, especially in clinical applications. One approach to identification of microbes in samples is whole genome sequencing. We compared two methods for analyzing whole genome sequence data (MASH and Fizkin) for analysis of data generated from mixing pairs of bacteria over a six log range.