Data-driven Biotechnology - bench, bioreactor and bedside

Overall topics:

Genome-scale models
Constraints in biology
Big biological data
Microbial and mammalian cell factory design
Systems metabolic engineering
Modeling microbiomes and pathogens
Omics data and models in human disease
Personalized omics data



Group photo

Thank you very much to all participants, who helped us to successfully carry out the 11th Copenhagen Bioscience Conference.

Today's research and development environment is becoming increasingly data intensive. Reaping full benefits of the revolution in data generation will require translating big data to knowledge in basic research and applications.  This meeting will bring together world leading researchers in using data and computational models to address challenges in translational biotechnology applications. The meeting will cover 1) development of concepts and methods to deal with the big data challenge, 2) applications of data-driven strategies in industrial biotechnology, and 3) uses of models and data in human health-related biotechnology. Specific topics covered include genome-scale models, new omics technologies, cellular metabolism and its regulation, engineering of microbial and mammalian cell factories, microbial pathogens and communities, and omics data and models in human disease. The meeting is targeted towards anyone interested in interdisciplinary bioscience research and in particular uses of data to advance biotechnology applications.

    The Speakers

  • Adil Mardinoglu
  • Bhanu Chandra Mulukutla
  • Darren Platt
  • Douglas Kell
  • Elhanan Borenstein
  • Emma Lundberg
  • Ines Thiele
  • Isabel Rocha
  • Jason A. Papin
  • Julia Vorholt
  • Kathryn Holt
  • Kiran Raosaheb Patil
  • Michael D. Lynch
  • Michelle O'Malley
  • Nathan E. Lewis
  • Nathan Magarvey
  • Nathan Price
  • Pieter Dorrestein
  • Ruth Nussinov
  • Tanya Lipscomb
  • Tomer Shlomi
  • Vassily Hatzimanikatis

Related articles from the conference

  • Tuborg Havnevej 19,
  • 2900 Hellerup, Denmark

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