Welcome to website of the Group for Medical Systems Biology

The Medical Systems Biology group focuses on the computational investigation and integration of multi-omics data in explorative, preventative, and therapeutic contexts.

About us
We deploy concepts from non-linear dynamics and complex systems to develop mathematical models that unravel the self-organizing principles behind the interactions with biological entities.
Team

The complementary experience and research emphases of our team allow integrating all scales of resolution from genetic code to phenotypic expression.

Meet The Team

News and publications

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Mar29

New publication on The Cerebellum

Multi-Omics Characterization of a KIF1C Structural Variant in a Patient with a Complex Movement Disorder Partially Responsive to Deep Brain Stimulation
Mar29

New publication on Preprints

Prognostic Value of Regnase-1 in High-Grade Soft Tissue Sarcoma: Favorable in UPS, Yet Inverted in Adjuvantly Irradiated Patients
Mar20

New publication on Ash Publications

IDH2 Clonal Hematopoiesis and IKAROS Loss Cooperate in a B-ALL Subtype after Lenalidomide Therapy for Multiple Myeloma
Feb19

New publication on Scientific Reports

Exploring the underlying gene expression profiles of differences of sex development phenotypes through transcriptome analysis
Feb19

New publication on Nature Communications

Colonic spatial single-cell proteomics and murine models link mitochondrial dysfunction to dimeric IgA-secreting plasma cell deficiency in Crohn’s disease

Service & Research Units

In the medical context, we work in cooperation with clinical facilities and research groups in the exploration of disease etiology, identification of pathways , and the development of treatment options in personalized medicine.

Bioinformatics Service Unit

We can advise on project planning to clarify at an early stage whether specific scientific questions can be answered within your experimental planning to avoid future complications.

Single Cell Genomics Research Group

New sequencing technologies have revolutionized genome research over the last decade.

Cancer Research Unit

What are the molecular drivers in tumor progression? How can current methods of molecular medicine, sequencing, and machine learning in the clinical diagnostics and routine be transferred?

Projects

A particular focus is put on the field of cancer research which culminated in the design of computational diagnostics pipelines for the Molecular Tumor Board at the UKSH Lübeck, which is an interface between clinical treatment and cutting-edge scientific insights by applying state-of-the-art sequencing and analysis approaches to the most challenging cases.

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Career

Join the Medical Systems Biology group

The group for Medical Systems Biology focuses on the development and verification of mathematical models for cellular behavior and cell communication from an initial stimulus to the final phenotype.

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