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.
Characterizing movement patterns of E. coli bacteria by using engineered bacterial strains and physical models.
Open-source supercomputer algorithm predicts patterning and dynamics of living materials and enables studying their behavior in space and time.
Agnes Toth-Petroczy, Alexander von Appen, and Ricard Alert receive funds to launch their own projects.
Novel algorithm enables efficient study of biophysical phenomenon.
