Data Integration

Our data integration group takes care of developing and applying principles, standards and software for FAIR storage and semantic integration of different types of biological data, such as high-throughput sequencing, proteomics, or microscopy. We have a strong focus on visualization of data based on our in-house graphical library. With our tools we actively participate in diverse research projects at UKE and beyond, and we cooperate with public libraries and private companies. Our research areas cover neurodegenerative diseases, immunity, neuroscience, etc., that profit from integrated, versioned, well-structured, ontology-annotated and searchable data. We use graphs to analyse connected data such as gene and protein networks, or ontologies, and knowledge graphs to represent objects like biomedical entities or publications. Such graphs can be used for semantic search, as well as for analysis of data, such as enrichment or biological term similarity.