The FT Metabolomics Research Group at the University of Johannesburg (UJ), in partnership with the African Centre for Gene Technologies invites you to a two-day computational metabolomics workshop focused on the use of machine learning and artificial intelligence (AI) in metabolomics spectral data analysis. This workshop will introduce powerful computational workflows and tools for the interpretation of LC-MS/MS data.
Workshop Overview
Facilitated by a team from the University of Antwerp (Belgium) and University of Johannesburg, the sessions will cover topics such as bioinformatics and machine learning for metabolomics data analysis, unsupervised clustering of mass spectra, spectral library searching and molecular networking, and open-source tools like GNPS and mzMine. Participants will gain practical experience in processing real-world datasets using cutting-edge platforms and approaches that are reshaping metabolomics research globally. The workshop is designed for researchers working across different disciplines such as in plant, environmental, and food metabolomics.
Event Details
📍 Venue: Glenburn Lodge and Spa, Muldersdrift, Johannesburg
Format: Hands-on practical sessions & interactive lectures
💻 Requirements: Accepted participants are encouraged to bring their own laptops. Instructions for pre-installing the required software will be provided upon registration.
Registration Information: This workshop is perfect for researchers, students, and professionals who want to harness the power of machine learning and AI to analyze complex metabolomics datasets, gain hands-on experience with cutting-edge computational tools, and advance their skills in data-driven biological discovery.
🌐Click Here to Apply to Attend
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