Event by Novo Nordisk Foundation Science Cluster

    Data-driven Biotechnology - bench, bioreactor and bedside

    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.

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    07-11 May 2017


    Adil Mardinoglu KTH Royal Institute of Technology
    Bhanu Chandra Mulukutla Pfizer, Massachusetts, United States
    Darren Platt Amyris, United States
    Douglas Kell University of Manchester, United Kingdom
    Elhanan Borenstein Dept. of Genome Sciences, University of Washington, United States
    Emma Lundberg KTH, Sweden
    Ines Thiele University of Luxembourg
    Isabel Rocha University of Minho, Portugal
    Jason A. Papin University of Virginia, United States
    Julia Vorholt ETH Zürich, Switzerland
    Kathryn Holt Centre for Systems Genomics, University of Melbourne, Australia
    Kiran Raosaheb Patil EMBL Heidelberg, Germany
    Michael D. Lynch Dept. of Biomedical Engineering, Duke University, United States
    Michelle O'Malley University of California, Santa Barbara, United States
    Nathan E. Lewis University of California, San Diego, United States
    Nathan Magarvey McMaster University, Ontario, Canada
    Nathan Price Institute for Systems Biology, Seattle, United States
    Pieter Dorrestein University of California, San Diego, United States
    Ruth Nussinov Tel Aviv University / National Cancer Institute, Israel
    Tanya Lipscomb Muse Bio, United States
    Tomer Shlomi Technion - Israel Institute of Technology, Israel
    Vassily Hatzimanikatis Ecole Polytechnique Fédérale de Lausanne, Switzerland


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    Conference topics

    Conference 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
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