New Whitepaper: Computational prediction of candidate micro-organisms to support innovation in health, fermentation and food quality & safety

Bacteria play an integral role in the world of 21st century food. On one hand, bacteria can be used as probiotics or in fermentation to improve products, but the right organism has to be identified from thousands of potential candidates. On the other hand, unwanted bacteria are a risk factor for quality assurance and food safety. The huge variation even between strains of the same species makes accurate identification vital. In both cases, understanding microbial functionality is the key to success.

In this NIZO Whitepaper, we will explain how bioinformatics and computer modelling can help identify functionality within bacterial DNA profiles and enable better, faster prediction of bacterial traits.