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Schloss Dagstuhl – Leibniz-Zentrum für Informatik GmbH

Metabolomics involves the comprehensive analysis of small molecules within a biological sample. Typically acquired using mass spectrometry, metabolomics data reflect the cellular state which can provide insights into health, disease, environmental toxicity, industrial technology, and other areas. Metabolomics data is rich and complex, requiring specialized techniques to interpret the data. With improved detection technologies and advances in machine learning and generative AI, computational analysis of metabolomics is rapidly expanding. This Dagstuhl Seminar extends the Computational Metabolomics series by focusing on enhancing our understanding of metabolomics data and turning the data into actionable biological insights. During this seminar, we aim to discuss topics related to several current challenges in metabolomics.

Molekularbiologie,    Allgemeine und fachübergreifende Veranstaltugen in Informatik

The European Association for Cancer Research (EACR)

The 7th edition of this extremely popular conference topic will be held in Essen, Germany on 12-14 May 2026. It will showcase the latest breakthroughs in cancer genomics, multiomics, and computational biology, covering topics including machine learning and artificial intelligence, single-cell and spatial analysis of cancers, cell plasticity, cancer immune genomics, data integration and convergence, epigenetics, and genomic instability. If your work centres on any of these topics, you may be able to present it at our conference! Submit an abstract by 16 March 2026 for a chance to have your work featured as a Proffered Paper or in a Flash Talk presentation! Participant registration closes on 13 April 2026.

Conference Officer: Chris Iliffe;     Email: christopher.iliffe@eacr.org

cancer research, oncology, cancer genomics, cancer multiomics, computational cancer biology, machine learning, artificial intelligence, single-cell analysis, spatial analysis, cancer cell plasticity, cancer immune genomics, data integration and convergence, cancer epigenetics, genomic instability, molecular pathology, cancer evolution, immune evasion, bioinformatics, systems biology, translational cancer research

Onkologie,    Genomforschung und Bioinformatik