Maximizing the value of metabolomic data
A businessman holding a digital gear icon symbolizing the ETL process in data management, surrounded by related technology icons.
“Untargeted metabolomic data are exceedingly rich in information and, consequently, researchers typically focus on only a small subset of the results. The remaining un-mined portions of the data are, therefore, often greatly underutilized and traditional publication formats limit the ability of other laboratories to effectively perform data analysis.” In recent years there has been a resurgence of interest in metabolism and increasing excitement about the phenotypic insights that can be gleaned by monitoring metabolite levels in biological systems [1,2]. Promoting these trends has been the emergence of metabolomics as a widely used platform to profile metabolites in research specimens. With...
