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    LSM - ƒ-TALES: Big Data in Life Sciences and Biomedicine

    Wednesday, 26 September, 2018 - 09:30 to Thursday, 27 September, 2018 - 17:30
    PAC - Provinciaal Administratief Centrum 'Het Zuid'
    Woodrow Wilsonplein 2 - 9000 Gent
    Training

    Big Data in Life Sciences and Biomedicine

    26-27 September, Gent

    Big data is no longer just a buzzword in the life sciences. With the advent of ever cheaper, ever faster high throughput analysis methods, the amount of information that researches face from even simple studies, can quickly become overwhelming.

    Yet far from a burden, or a hindrance, these large amounts of acquired data should be considered treasure troves of information from which one can obtain unique insights into fundamental biology, or in the mechanisms underlying health and disease.

    Many talented, young scientists worldwide have therefore been eagerly engaging with the challenges posed by big data in the life sciences, and have turned these challenges into opportunities and inspirations.

    If you too want to learn how to see the opportunities inherent in big data in the life sciences, and if you too would like to be inspired  by the solutions, tools, and approaches that are already available for you today, come and participate in the Big Data in Life Sciences and Biomedicine meeting! And make sure to present a poster, and apply for a short talk, as there will be prizes for each type of contribution!

    Confirmed speakers

    Emma Schymanski, Luxembourg Centre for Systems Biomedicine, GD Luxembourg - metabolomics data analysis
    Laurent Gatto, University of Cambridge, Great Britain - proteomics data analysis
    Charlotte Soneson, University of Zürich, Switzerland - single-cell transcriptome analysis
    Sanne Abeln, Vrije Universiteit Amsterdam, Netherlands - protein structures and data integration
    Marc Lensink, Université de Lille, Frankrijk - Testing protein prediction methods
    Michael Höhle, University of Stockholm, Sweden - Digital epidemiology
    Ewy Mathé, The Ohio State University College of Medicine, USA - Integrative data analysis
    Blaž Zupan, University of Ljubljana, Slovenia - The Orange data mining suite for omics data processing workflows

    REGISTRATION

    This workshop is offered free of charge for participants, but as the number of participants is limited registration is required.
    Register before 1 September 2018

    Find the programme and all info online: https://ftales.be/gent-2018/homebigdatabiomedice