University of Birmingham > Talks@bham > CCB seminars > Towards More Complete Annotation of Model Organism Metabolomes: Analytical and Computational Approaches

Towards More Complete Annotation of Model Organism Metabolomes: Analytical and Computational Approaches

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Our knowledge of the metabolic composition of model organisms, or even human biofluids, remains remarkably limited. Identifying the collection of metabolites that make up these matrices remains one of the greatest roadblocks to deriving biological knowledge from non-targeted metabolomics datasets. Calls for community-driven characterisation of model organism metabolomes have recently been issued to address this fundamental knowledge gap. Here we present a novel analytical and computational workflow – the Deep Metabolome Annotation (DMA) workflow – for characterising (model organism) metabolomes using extensive separation and analytical techniques, as well as a suite of existing and novel computational tools to achieve large-scale metabolome annotation in an untargeted manner. We demonstrate the successful application of the DMA workflow in advancing understanding of the metabolome of Daphnia magna – a keystone species of freshwater ecosystems and NIH model organism for human health.

This talk is part of the CCB seminars series.

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