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

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

Download our whitepaper and uncover insights into:

  • Advances in sequencing and computation
  • Where can we apply computational genome analyses to food and health?
  • Building computational functional modules for in silico predictions
  • Custom-design functional profiling
Whitepaper: 'Computational prediction of candidate micro-organisms'

Whitepaper: ‘Computational prediction of candidate micro-organisms’

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Susann Bellmann

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Susann Bellmann

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