Open-source supercomputer algorithm predicts patterning and dynamics of living materials and enables studying their behavior in space and time.
Researchers from Milan and Dresden presents a CRISPR/Cas-based method for genetic editing
Dresden researchers link excessive pressure in the bile transport network of the liver to the formation of liver cell rosettes, which are observed in…
Agnes Toth-Petroczy and Alexander von Appen receive funds to launch their own projects.
Dresden researchers connect imaging and genetic data to gain insights into the development of the pancreas.
Novel algorithm enables efficient study of biophysical phenomenon.
International research team shows that a newly discovered nematode species from the Pleistocene share a molecular toolkit for survival with the…
New theoretical model predicts spontaneous flow patterns of active fluids in three dimensions.
Teams from MPI Institutes in Dresden, Dortmund, Frankfurt am Main and Göttingen have joined forces to gain the first evidence of a protein complex…
Highest alumni honor of the California Institute of Technology for MPI-CBG Director Emeritus