Central Project 2: Bioinformatic data integration and multi-omic pathway analysis
Description
The diagnosis and treatment of complex diseases like early-onset low BMD disorders need to be personalized and mechanism-focused, as patients exhibiting similar symptoms may have distinct underlying mechanisms that define their disease "subtype." Knowledge of the underlying pathomechanisms and subsequent stratification of patients into subtypes can translate into more accurate diagnostics and effective treatment selection. Early-onset low BMD disorders exhibit a high level of heterogeneity that is very well suited for the application of patient stratification techniques. ProBone will generate and provide a unique data set - a broad spectrum of clinical variables, omics, and time-series data - that will enable computational extraction of patient subtypes based on mechanistic stratification approaches and multi-omics integration (mechanotyping). CP2 aims to extract clinically relevant subtypes of patients with early-onset low BMD disorders and to determine the correlation between genotype and phenotype. By analyzing omics data from cellular systems, CP2 will profile the data and extract disease mechanisms using network analysis and multi-omics integration approaches.
Principle Investigators
Prof. Dr. J. Baumbach
Head of research group
Institute for Computational
Systems Biology,
Center for Bioinformatics
University of Hamburg
Email: [email protected]
Dr. Olga Tsoy
Group leader
Institute for Computational
Systems Biology,
Center for Bioinformatics
University of Hamburg
Email: [email protected]