Meetings/Workshops on Systems Biology and Computational Biology in Germany
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23 Mar 2022 - 25 Mar 2022 • Bad Honnef, Germany
WE-Heraeus foundation, Physikzentrum Bad Honnef
Populations of cancer cells are not static, but keep evolving over the different stages of the disease. This complex evolutionary dynamics is shaped by inherently stochastic contributions (such as mutations and reproductive fluctuations) as well as deterministic components (such as selection for faster growth). For this reason, statistical models are key to modelling and analyzing the evolution of tumours. Over the last decades, the sequencing of DNA from cancer biopsies has fundamentally changed our understanding of the evolution of cancer. Genomic data sampled across different patients and over time allows to address fundamental questions on how tumours develop, which genetic changes lead to rapid growth, or how a population of diverse tumour cells evolves under cancer therapy. Answering such questions on the basis of empirical data requires statistical models of cancer evolution, both to infer the past dynamics from current data and to derive predictions, for instance on the response to therapy. This seminar will give an overview over the current state of cancer evolution research and the statistical models used to understand cancer genomic data. It will include tutorials on statistical physics and inference, cancer evolution, and cancer genomics, as well as lectures on the current state of the field by international specialists. The seminar is for MSc and PhD students and young researchers in physics (in particular statistical physics and biophysics), population genetics, and evolutionary biology.
cancer evolution, cancer genomics, population dynamics modeling and inference, multi-region sequencing, targeted therapy
From Functional Genomics to Systems Biology
15 Nov 2022 - 18 Nov 2022 • Heidelberg, Germany
Recent advances in genomics and proteomics technologies have transformed our ability to study diverse molecular processes. We can now use these technologies to study and understand mechanisms regulating transcription, translation, protein abundance, protein-protein, protein-metabolites and protein-drug interactions at a genome- and proteome-wide scale. The current challenge is to convert this data into predictive quantitative models of cellular processes. This massive task requires intensive integration of basic biology, genomics, proteomics, imaging, computational biology, mathematics, engineering and physics. This conference brings together scientists from diverse fields to promote cross-disciplinary collaborations and form a synthesis of appropriate systems-level approaches. We aim to get people out of their comfort zones, to hear new cutting-edge research in diverse areas to form new ideas. Over the past decade, this conference has served as an important venue to help shape the field and to generate a community of scientists that come from very diverse disciplines, each with the common goal to understand the systems level properties of their system of interest.
Single cell genomics, Quantitative genomics, Quantitative imaging, Quantitative proteomics
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Last updated: 25 November 2021