Offering expertise of the Group of Prof. Markus Scholz

Prof. Markus Scholz's team at the University of Leipzig specializes in multi-omics integration, combining genomics, transcriptomics, proteomics, and metabolomics data with clinical information to unravel complex biological and clinical phenomena. Their expertise lies in developing statistical and bioinformatics methods for analyzing high-dimensional molecular genetic data, facilitating a comprehensive understanding of molecular mechanisms.

The group employs multimodal approaches that integrate diverse data types—molecular (e.g., genetic variants, gene expression, protein interactions) and clinical (e.g., patient outcomes, biomarkers, environmental factors)—to build comprehensive models of diseases. These approaches leverage advanced techniques such as machine learning, statistical modeling, knowledge graphs, and network analysis to uncover key relationships and pathways across biological scales.

Their research addresses various biological and clinical topics, including:

·        Cancer Research: Unveiling molecular drivers and biomarkers to enhance diagnosis and therapy.

·        Cardiovascular Studies: Using multimodal data for risk stratification and patient management.

·        Neurological Disorders: Identifying genetic and molecular factors contributing to neurodegeneration.

·        Metabolic Diseases: Integrating genetic and metabolic data to understand complex traits.

·        Infectious Respiratory Diseases: Studying the molecular and immune response mechanisms underlying infections like SARS-CoV-2 and influenza, and using multi-omics data to identify biomarkers for early detection, disease progression, and therapeutic targets.

Through collaborations with national and international study groups, Prof. Scholz’s team applies these multimodal approaches to support the development of personalized medicine and targeted therapies, contributing to the advancement of systems biology and precision healthcare.