Understanding phenotypes is key to enabling research and medical advances. The exploration of gene function and the use of genomics have been a focal-point for unraveling phenotypes for the last two decades. While genomics has provided many important insights and discoveries, a staggeringly complex picture has also emerged. Deciphering the meaningful biological signal from noise amongst all of this complexity is a persistent challenge.

Metabolites are regarded as an intermediate phenotype, and metabolomics has emerged as an ideal way to bridge the genotype-phenotype relationship. There are, however, critical considerations to successful implementation of metabolomics; platforms must be highly stable, scalable and able to capture a meaningfully broad swath of the metabolites within a biological sample.