Context-aware and bias-reduced protein protein interaction networks (CoBiNet) is a research project enabled by the Klaus Tschira Foundation and run by FAU (Biomedical Network Science Lab), TUM (Data Science in Systems Biology) and IEO (Computational Cancer Biology Lab). In CoBiNet, we will develop methods to retrieve context-specific and bias-reduced high-resolution protein-protein interaction networks. CoBiNet is split up into three work packages:
Judith Bernett joins CoBiNet
Judith Bernett joins CoBiNet as a new scientific researcher at the FAU. She continues Nicolai Meyerhöfer’s work on WP2 (context-specific…
Second annual CoBiNet meeting in Milan
The second annual CoBiNet meeting was held at the IEO in Milan (Italy) from October 9-10, 2025. Teams presented progress…
KINference published
Inference of differential kinase interaction networks with KINference is published in Bioinformatics (https://doi.org/10.1093/bioinformatics/btaf349). KINference combines computation of a baseline kinase…
DIGGER 2.0 published
DIGGER 2.0: digging into the functional impact of differential splicing on human and mouse disorders is published in Nucleic Acids…
Collaboration with UKHD
Konstantin P. met there with Prof. Christoph Dietrich and Dr. Enio Gjerga from University Hospital Heidelberg (UKHD) to foster synergies…
New article published in eLife
Emergence of power law distributions in protein-protein interaction networks through study bias was published in eLife on December 11, 2024.…
CoBiNet Project Kickoff
The kick-off meeting for the CoBiNet project, held in Erlangen (Germany) from October 7-8, 2024, was a collaborative effort involving…