Report on the “Advanced Big Data Training School for Life Sciences”, Barcelona 3th-7th September 2018

Authors

  • Yen Hoang German Rheumatism Research Center Berlin, A Leibniz Institute
  • Juliane Pfeil Technical University of Applied Sciences, Wildau
  • Maja Zagorš?ak National Institute of Biology (NIB), Ljubljana https://orcid.org/0000-0002-1669-6482
  • Axel Y. A. Thieffry University of Copenhagen https://orcid.org/0000-0002-6717-2785
  • Eftim Zdravevski Sts. Cyril and Methodius University in Skopje
  • Živa Ramšak National Institute of Biology (NIB), Ljubljana https://orcid.org/0000-0003-0913-2715
  • Petre Lameski Sts. Cyril and Methodius University in Skopje
  • Sabrina K. Schulze University of Potsdam
  • Eleni Papakonstantinou Agricultural University of Athens
  • Louis Papageorgiou Agricultural University of Athens National and Kapodistrian University of Athens
  • Tarry Singh Deepkapha.ai, Amsterdam
  • Ariel Duarte-López Technical University of Catalonia, Barcelona
  • Marta Pérez-Casany Technical University of Catalonia, Barcelona

DOI:

https://doi.org/10.14806/ej.24.0.917

Keywords:

Big Data, Feature Selection, Machine Learning, Deep Learning, Life Science

Abstract

The “Advanced Big Data Training School for Life Sciences” took place during September 3-7, 2018, organized by the Data Management Group (DAMA-UPC) at the Technical University of Catalonia (UPC) in Barcelona, Spain. It is the follow-up training school of the first “Big Data Training School for Life Sciences”, held in Uppsala, Sweden, in September 2017, which was defined and structured at the “Think Tank Hackathon”, held in Ljubljana, Slovenia, in February 2018. The aim of this training school was to get participants acquainted with emerging Big Data processing techniques in the field of Computational Biology and Bioinformatics.

This article explains in detail the development of the training school, the covered contents and the interaction of the participants within and out of the training event by the student, organizer and lecturer perspective.

Author Biographies

  • Juliane Pfeil, Technical University of Applied Sciences, Wildau

    Division Molecular Biotechnology and Functional Genomics

    Phd student and research associate

  • Maja Zagorš?ak, National Institute of Biology (NIB), Ljubljana

    Department of Biotechnology and Systems Biology

    PhD candidate

  • Axel Y. A. Thieffry, University of Copenhagen
    Department of Biology + Biotech Research & Innovation Centre
    PhD Fellow
  • Eftim Zdravevski, Sts. Cyril and Methodius University in Skopje

    Faculty of Computer Science and Engineering

  • Živa Ramšak, National Institute of Biology (NIB), Ljubljana

    Department of Biotechnology and Systems Biology

    Research Assistant

  • Petre Lameski, Sts. Cyril and Methodius University in Skopje

    Faculty of Computer Science and Engineering

  • Sabrina K. Schulze, University of Potsdam

    Institute of Biochemistry and Biology, Cell2Fab

    Postdoc

  • Eleni Papakonstantinou, Agricultural University of Athens

    Genetics and Computational Biology Group, Laboratory of Genetics, Department of Biotechnology

  • Louis Papageorgiou, Agricultural University of Athens National and Kapodistrian University of Athens

    Genetics and Computational Biology Group, Laboratory of Genetics, Department of Biotechnology

    Department of Informatics and Telecommunications

     

  • Tarry Singh, Deepkapha.ai, Amsterdam
    CEO and AI Neuroscience Researcher of deepkapha.ai Labs
  • Ariel Duarte-López, Technical University of Catalonia, Barcelona

    Department of Computer Architecture

  • Marta Pérez-Casany, Technical University of Catalonia, Barcelona

    Department of Statistics and OR

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Published

2019-02-05

Issue

Vol. 24

Section

Technical Notes

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