Oxford and Dresden researchers develop a new method, TopACT, and reveal hidden patterns in lupus kidney disease.
Mistakes in protein production might help organisms adapt to sudden environmental changes.
Dresden computational biologists create a proteome-wide model to map mistakes in protein production and their effects on cell fitness.
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.
