Thermo Fisher Scientific
Untargeted metabolomics is a unique discovery tool that provides an open-ended evaluation of detectable metabolites and has been shown to identify novel biological signatures and provide a route to understand biological processes at a functional level. The enormous potential of untargeted metabolomics to enrich scientific research is leading more and more investigators to leverage these data to advance their research. While an increasing number of laboratories and core facilities offer untargeted metabolomics capabilities, the lack of clear recommendations regarding untargeted metabolomics quality management, including quality assurance (QA) and quality control (QC), has called into question the quality and integrity of metabolomics data. The concern within the untargeted metabolomics community is that data collected under poor quality management could generate biased results.
This webinar aims to highlight important QA and QC procedures that can be utilized in metabolomics analyses and demonstrate the applicability of untargeted metabolomics in numerous research settings when quality practices are in place. This discussion also spotlights a metabolomics community organization working toward establishment of industry QA/QC standards.
Annie Evans, Ph.D., Director R&D, Metabolon, Inc.
Dr. Annie Evans leads the discovery metabolomics and lipidomics profiling research and development team at Metabolon, Inc. The metabolomics and lipidomics platforms developed under her have been the analytical basis for over 10,000 commercial studies. Currently, her research is focused on developing Metabolon’s metabolomics and lipidomics technologies to support large human cohort studies and clinical metabolomics.
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