Data science

Internationally renowned for pioneering achievements and geared to inter-institutional cooperation: 22 research groups at the Berlin Institute for Medical Systems Biology in the Max Delbrück Center (MDC-BIMSB) explore how genes regulate life. It is now celebrating its 15th birthday.

Bartter syndrome type 3 is the result of several structural variants in the genome. By using long-read sequencing, Janine Altmüller and her team from the Max Delbrück Center, the BIH and University Hospital Cologne mapped out the rare disease in unprecedented detail. They have now reported their findings in “Genome Medicine.”

Neuroblastoma is the third most common malignancy in children. 16 labs at the Max Delbrück Center and other Berlin-based researchers will investigate how they originate and grow in a new Collaborative Research Centre. The project, supported by the German Research Foundation (DFG), has been granted approximately €13.5 million.

22 young women and girls had the opportunity to experience the day-to-day life of an IT specialist at the Corporate IT or as a researcher at the Max Delbrück Center in Berlin-Buch and Mitte during the Girls’Day event. Boys’Day was also held at the same time.

The Image Data Analysis Platform has a new leader in Deborah Schmidt. She and her team create software that processes and analyzes image data from biomedicine, material sciences, or environmental research – something that benefits the entire Helmholtz Association.

Dagmar Kainmüller develops computational methods for analyzing vast quantities of image data. On October 1, 2022, she was named Professor of Integrative Imaging Data Sciences at the University of Potsdam.

Algorithms developed at the Max Delbrück Center are able to quickly detect new SARS-CoV-2 variants in wastewater. But that’s not all: the tool, which Altuna Akalin and his colleagues have now presented in “Science of the Total Environment”, can also find other pathogens.

Cardiomyopathy is not a uniform disease. Rather, individual genetic defects lead to heart failure in different ways, an international consortium reports in “Science”. MDC researcher Norbert Hübner is one of the senior authors.

Single-cell analyses provide a wealth of molecular and genetic information. A team led by MDC researcher Uwe Ohler is using machine learning to combine these data and produce meaningful profiles of the cells. The Chan Zuckerberg Initiative is now funding the project.

Jana Wolf draws on experimental data and the growing knowledge of cellular mechanisms to translate disease processes into mathematical models. Her models aim to represent the complexity of life as realistically as possible and to help develop therapies that are precisely tailored to the patient.