NetfLID

Network Medicine for Long-Term Consequences of Infectious Diseases

The BMBF-funded NetfLID project aims to identify molecular mechanisms contributing to long-term consequences of viral infections by applying network medicine methods to rich molecular data.

News & Announcements
30.03.2022 NetfLID Consortium Kick-Off
08.12.2022 NetfLID Consortium Meeting

Partners & Subprojects

Partner PIs Subproject
TU Braunschweig Tim Kacprowski, Karsten Hiller Metabolomics and Network Medicine
Hannover Medical School Markus Cornberg Patient Cohorts and clinical Omics Profiling
Technical University Munich Markus List Epigenomics and Cell Type Heterogeneity
*SP1 focuses on data generation and patient recruitment. SP2 will analyze metabolomics and immuno-proteomics, as well as develop network medicine methodology. SP3 will analyse epigenomic and transcriptomic data and investigate cell type heterogeneity. SP2 and 3 together will build the computational framework for NetfLID in a close feedback loop with SP1. Created with BioRender.com*
SP1 focuses on data generation and patient recruitment. SP2 will analyze metabolomics and immuno-proteomics, as well as develop network medicine methodology. SP3 will analyse epigenomic and transcriptomic data and investigate cell type heterogeneity. SP2 and 3 together will build the computational framework for NetfLID in a close feedback loop with SP1. Created with BioRender.com