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DTSTART;TZID=Europe/Stockholm:20210422T150000
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UID:52723-1619103600-1619107200@www.scilifelab.se
SUMMARY:The evolution of human Genome Scale Metabolic models
DESCRIPTION:Jonathan Robinson\, Scientific Data Developer Bioinnovation Institute\, Denmark \n\n\n\nWhen: April 22\, 15:00 \n\n\n\nZoom: https://stockholmuniversity.zoom.us/j/68215564760 \n\n\n\nHost: Rui Benfeitas\, Stockholm University \n\n\n\nAbstract\n\n\n\nMetabolism provides the energy and building blocks necessary to support life\, but the complexity of the metabolic network presents a challenge when trying to determine how changes to one component affects the system as a whole. Genome-scale metabolic models (GEMs) were developed to address this challenge by providing computational reconstructions of metabolic networks. GEMs have been developed for hundreds of species including humans\, supporting new approaches to study human health and disease.In my talk\, I will present our work in developing the most recent human GEM\, Human1\, and the different ways in which the model can be used to interpret omics data in a metabolic context. I will also share the challenges that we faced while developing Human1\, and the challenges that we still face over a year after its initial release in 2020. Finally\, I will discuss how we envision the future of GEMs\, and our efforts to make them more accessible and useful for bioinformaticians.
URL:https://www.scilifelab.se/event/the-evolution-of-human-genome-scale-metabolic-models/
CATEGORIES:Event
ORGANIZER;CN="Rui Benfeitas%2C SciLifeLab/Stockholm University":MAILTO:rui.benfeitas@scilifelab.se
LOCATION:https://stockholmuniversity.zoom.us/j/68215564760
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