The human microbiome is key to health and disease. Yet, mapping and understanding microbiome ecology and microbiome-host interactions is a challenge due to the complex genetic, metabolic and immunological interplay between microbial species and the human host. In this presentation, we explore various computational roads to a better mapping of microbial metabolism via constraint-based reconstruction and analysis.

" Flow cytometry was historically the first single cell technology to measure millions of cellular states within minutes. Due to its robustness and scalability flow cytometry and related antibody-based single cell technologies have become an irreplaceable part of routine clinics and evolved to a powerful tool for exploratory research.

Clemens Schächter (AG Prof. Dr. Harald Binder: Knowledge Discovery Synthesis)  - Enhancement of network architecture alignment in comparative single-cell studies

Abstract

Noah Hollmann (AG Hutter: Machine Learning Lab) - TabPFN: A Foundation Model for Accelerating Data Analysis

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Bas E. Dutilh, Friedrich Schiller Universität Jena: Mapping the Microverse and modelling its drivers
 

Abstract

CANCELLED

Nora Scherer and Daniel Fässler: Integrating exome-wide statistical screening and constraint based modeling to understand gene-metabolite relations via whole-body models of human metabolism.

Derek Spieler (AG Molekulare Psychosomatik): Integration of biological clock as marker of mental disorders.