Big Data 2 Knowledge

High-throughput data generation and genome sequencing are having a transformative impact in the field of biology. DTU Biosustain is leveraging these technologies through the development of methods to extract knowledge from high throughput data.

There are three primary areas of focus:

  1. Developing modeling methodologies to better predict the behaviour of biochemical networks.
  2. Integrating protein structures with genome-scale models.
  3. Developing big data analytics capabilities and requisite software to facilitate the strain design process.

Continued development of modeling and data analytics methods will ensure that DTU Biosustain remains at the cutting edge of computation-driven design and analysis of production strains.

The Section is located at the University of California, San Diego and it is headed by Professor Bernhard Palsson and scientists Daniel Zielinski and Zachary King.

More information is available at the SBRG Website


Bernhard Palsson
DTU Biosustain
+45 45 25 80 02


Nathan Lewis
DTU Biosustain