Online - virtual

September 04, 2020    UC Davis, CA

 

Current metabolomics datasets may have > 1,000 identified metabolites, plus unknowns. How do we interpret such data in a biological context, beyond statistics? How do we integrate genomic or proteomic data, how do we construct and use metabolic models? How do we best map differences in lipidomic data that lack biochemical pathways?