Systems Biology workshops

Genomics, proteomics and imaging now measure molecules and cells across many scales. This workshop examines how mechanistic models can integrate those measurements and biological dynamics to explain and engineer cellular behaviour. Researchers in single-cell analysis, dynamic proteomics, quantitative imaging, synthetic biology and theory will connect experimental and computational approaches. The programme links three themes: cell dynamics and interactions; molecular mechanisms and engineering; and rigorous quantitative models. Sessions address multiscale modelling, molecules over time, large-scale perturbations, prediction of cell states, dynamic processes, and stem-cell engineering. Virtual participation includes livestreamed talks, questions and discussion, plus available recordings for four weeks; individual speakers may decline recording. Virtual participants cannot submit presentation abstracts. Fees: PhD students €175, academia €200, industry €275; card payment is required. Virtual registration closes 10 November 2026. On-site registration is closed. Programme times are Europe/Berlin (CET, UTC+1): 17 November opening at 13:15 and talks from 13:30; 18 and 19 November sessions from 09:00; 20 November from 10:00, with closing remarks at 13:15–13:30.

The workshop integrates cryo-electron tomography, fluorescence microscopy, mass spectrometry and computational modeling to investigate macromolecular complexes within intact biological systems. Sessions connect molecular machines with organelles, whole cells and multicellular interactions, emphasizing complementary data and methods that preserve native context. It welcomes experts and early-career life scientists interested in advanced imaging and system-wide analysis. On-site sessions start at 13:30 on 9 February and finish at 12:30 on 12 February, Europe/Berlin time. On-site registration closes on 5 January; virtual registration closes on 2 February 2027. Virtual attendance includes live talks, questions and time-limited access to recordings where speakers permit.

Combine complementary omics measurements to identify biological pathways and model cellular behaviour. Lectures and practicals compare supervised feature selection and integration using LASSO, PLS, LDA, mixOmics and DIABLO with unsupervised MOFA models and deep-learning autoencoders. The final day covers dimensionality reduction, graph-based integration, batch correction and multimodal single-cell analysis using Seurat and weighted nearest neighbours. Participants learn to select and implement an integration strategy suited to their research question. Live online, 15–17 February, 14:00–19:00 Europe/Berlin (CET). Fee €450. Basic Unix awareness and beginner-level R or Python are expected.

This course combines theoretical instruction with practical analysis of transcriptomic and proteomic data. It is designed for biologists and biochemists beginning to use sequencing and mass spectrometry, rather than specialists in either method. Participants study RNA-seq quantification and differential expression, protein identification and quantification, annotation and statistical evaluation. Software training includes SearchGUI, PeptideShaker and DiaNN; Cytoscape is used to integrate measurements and explore complementary information about gene and protein expression. The course connects primary-data processing with biological interpretation at the level of cells, tissues and organisms.

Machine learning has enabled advances in protein design and genetic circuits, but biological engineering still faces problems of interpretability, uncertainty and connections between molecular and system-level behaviour. Applied mathematicians, learning researchers and synthetic biologists will explore statistical methods for complex biological data, models that expose mechanisms, stochastic descriptions of noisy systems, multiscale modelling from molecules to populations and robust optimization for design under uncertainty. The workshop aims to develop mathematical foundations for more dependable biotechnology.