Dr. Daniel Petras, along with his colleagues, developed a computational tool for analyzing metabolomics data to study seawater pollutants. The tool, part of the Virtual Multiomics Lab (VMOL), helps accelerate research in environmental and biomedical fields. 

These findings were recently published in the Nature Protocols journal with the title Statistical analysis of feature-based molecular networking results from non-targeted metabolomics data.

The full article about these findings and the publication of this research can be found on the UCR News Site, titled New data science tool greatly speeds up molecular analysis of our environment.