SP02: Börries

Project Leader: Melanie Börries

The Bioinformatics unit will provide standardized and advanced workflows for the analysis of high-throughput and (multi)-omics data of the respective needs of the TRR 353 members. It will provide bioinformatics support for data processing, and reinforce and guide projects with respect to statistical and integrative analysis of genome, metabolome and proteome data, and in visualizing the results. Special efforts will be made in the integration of multidimensional data from diverse sources, including the use of machine-learning methods to gain insight into the regulation of cell death decisions. The bioinformatic unit will additionally provide preliminary data quality control as well as in depth customized data analyses support. M. Börries is an expert for data integration from genome, transcriptome to proteome in the context of Systems Biology and Systems Medicine, expertise critical to the TRR 353 to bridge from multi-omics data to network biology and derived network functionalities. Overall, this will therefore not only allow to offer a breadth of data science support ranging from cell to tissue derived data, but also to obtain information from omics data that can guide targeted mechanistic studies. Additionally, the project will hold regular joint user meetings to discuss analytical needs and will organize workshops with introductions to the appropriate tools of data analysis to support and teach the understanding and appreciation of the complex data analysis.