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        New Developments for Compound Annotation and Identification in Metabolomics

        The identification of metabolites detected in untargeted UHPLC-MS metabolomics studies can be a significant hurdle and is essential to derive biological knowledge from data. Chromatographic retention time, full-scan accurate m/z and MSn data can all be used, in combination with chemical standards and in-silico workflows where available, to identify metabolites.

        • Learn about untargeted metabolomics and its associated challenges with compound annotation and identification.
        • Discover how new advanced MS workflows with intelligent data acquisition leads to more targeted and confident metabolite identifications.
        • Discover how software tools and high resolution accurate mass (HRAM) databases and libraries delivers a more robust solution for identification and structural annotation of unknown compounds.

        About the presenter

        Warwick Dunn, Ph.D., Analytical and Clinical Metabolomics, University of Birmingham, UK

        Warwick Dunn, Ph.D., Analytical and Clinical Metabolomics, University of Birmingham, UK

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