Register event
3 events found

Country: Switzerland 


Organizer: diXa  or Gary Saunders  or ELIXIR-GR, H3ABioNet 


City: Bogota  or Bern  or Basel  or Leiden 

  • Understanding omics data

    19 - 21 November 2013

    Basel, Switzerland

    Understanding omics data 2013-11-19 00:00:00 UTC 2013-11-21 00:00:00 UTC diXa Genedata Academy, Basel, Switzerland Genedata Academy Basel Switzerland Systems biology Proteomics Genomics Bioinformatics [] [] [] workshops_and_courses [] toxicologytoxicogenomics
  • ELIXIR Beacons (at ISMB / ECCB)

    22 July 2019

    Basel, Switzerland

    ELIXIR Beacons (at ISMB / ECCB) This workshop will demonstrate the Beacon API, a data discovery protocol that allows users to determine the presence or absence of a particular allele in a dataset, without disclosing any further data differentiating the individuals it contains. The ELIXIR Beacons project is a Driver Project of the Global Alliance for Genomics and Health that provides a simple way to federate data discoverability. The ELIXIR Beacons protocol can allows any variation data back end to be connected to the ELIXIR Beacons network which can then be queried to ask questions like _'does this dataset have any information about allele 'X' at position 'Y' in the genome?'_. This workshop will show how recent extensions to the Beacon API has extended its functionality by adding support for additional types of genomic variants and improved metadata support. Additionally we will also demonstrate the accompanying ELIXIR Beacon reference implementation which utilises risk mitigation strategies by integrating the ELIXIR Authorization and Authentication Infrastructure (AAI), demonstrating to data owners how to light Beacons at different tiers of data access: open, registered, or controlled. 2019-07-22 14:00:00 UTC 2019-07-22 16:00:00 UTC Gary Saunders Congress Center Basel, Basel, Switzerland Congress Center Basel Basel Switzerland [] Gary Saunders <>, Frédéric Haziza <> [] [] meetings_and_conferencesworkshops_and_courses [] beacon
  • Introduction to Machine Learning

    9 September 2019

    Basel, Switzerland

    Introduction to Machine Learning Machine learning has emerged as a discipline that enables computers to assist humans in making sense of large and complex data sets. With the drop-in cost of sequencing technologies, large amounts of omics data are being generated and made accessible to researchers. Analysing these complex high-volume data is not trivial and the use of classical tools cannot explore their full potential. Machine learning can thus be very useful in mining large omics datasets to uncover new insights that can advance the field of medicine and improve health care. The aim of this tutorial is to introduce participants to the Machine learning (ML) taxonomy and common machine learning algorithms. The tutorial will cover the methods being used to analyse different omics data sets by providing a practical context through the use of basic but widely used R and Python libraries. The tutorial will comprise a number of hands on exercises and challenges, where the participants will acquire a first understanding of the standard ML processes as well as the practical skills in applying them on familiar problems and publicly available real-world data sets. 2019-09-09 09:00:00 UTC 2019-09-09 17:00:00 UTC ELIXIR-GR, H3ABioNet University of Basel Kollegienhaus Petersplatz 1 CH-4001 Basel, Basel, Switzerland University of Basel Kollegienhaus Petersplatz 1 CH-4001 Basel Basel Basel-Stadt Switzerland CH-4001 [] Fotis E. Psomopoulos ( [] [] 30 workshops_and_courses first_come_first_served bioinformaticsmachine learning
