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DTSTAMP:20260924T201856Z
UID:e01edfa3-cb81-40f5-98a8-62ac62ca5b24
DTSTART:20260507T110000Z
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DESCRIPTION:Are you struggling to connect lipidomics data to concrete biolo
 gical functions? While Over-representation analysis (ORA) identifies lipid
  trends\, bridging the gap to metabolic pathways and disease mechanisms re
 mains a challenge.\n\nIn this webinar\, you can learn more about MAPtoGO\,
  a novel Multiomics Analysis Platform designed for simultaneous Gene Ontol
 ogy (GO)-based enrichment across proteomics\, lipidomics\, metabolomics\, 
 and transcriptomics. We will cover how to perform unified interpretation o
 f diverse biomolecules to identify enriched GO terms\, physicochemical cat
 egories\, and disease associations in a single analysis. We implemented MA
 PtoGO in a lightweight web application that is openly available [https:/
 /lifs-tools.org/map-to-go] and free of charge. We will also demonstrate ho
 w the application’s integration with Goslin allows for the seamless hand
 ling of various lipid nomenclature dialects\, transforming complex dataset
 s into interpretable statistical plots and actionable biological insights.
 \n\nThis webinar is aimed at students\, early career researchers\, clinici
 ans\, bioinformaticians\, and everyone interested in mechanistic multiomic
 s integration and advanced computational lipidomics.\n\nThe webinar will b
 e held by Dominik Kopczynski from the University of Vienna.\n\nThe event i
 s in English\, it takes approx. 60 minutes and will be held on 7th May 202
 6 at 13:00 CEST (available afterwards on demand). Attendance is free\, but
  we ask for registration.
SUMMARY:de.NBI & ELIXIR-DE and GHGA Knowledge Series: "Enhancing Gene Ontol
 ogy for Medical Lipidomics" Vol.7
URL;VALUE=URI:https://www.ghga.de/events/detail/the-denbi-elixir-de-and-ghg
 a-knowledge-series-enhancing-gene-ontology-for-medical-lipidomics
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