The Hub brings together experts in single-cell and cross-modal omics integration and analysis to help SyNergy researchers gain deeper insights from complex datasets. We offer support for advanced single-cell and spatial analyses and develop best-practice workflows for spatial data in collaboration with the Spatial Transcriptomics Hub. In addition, we develop representation learning methods to integrate multiple layers of bulk and single-cell omics, spatial omics, and imaging data, and support SyNergy researchers in applying these novel frameworks to their data. For cross-modal and cross-scale models the Hub is collaborating closely with other Hubs, such as the Nanoscale Hub. We also facilitate disease-spanning and cross-species analysis through the use of trained atlas models, enabling harmonized annotation and joint, batch-invariant data representations.

Projects with the Omics A&I Hub are organized on a collaborative, case-by-case basis and require a designated contact person with bioinformatics expertise in the requesting lab, who is responsible for data preprocessing. While the Hub provides only limited support for basic preprocessing tasks (such as quality control, single-modality integration and cell type annotation), we continuously collect and update training materials and best-practice workflows for single-cell and multi-omics analysis to enable independent work.

Hub Committee

Martin Dichgans, Fabian Theis

Coordinator

Hannah Spitzer