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  • Stakeholder consultation workshop: Developing ELIXIR's next Scientific Programme

    6 July 2022

    Brussels, Belgium

    Stakeholder consultation workshop: Developing ELIXIR's next Scientific Programme ELIXIR is currently developing it’s Scientific Programme for 2024-2028. This high-level workshop takes place at The Hotel in Brussels and will bring together senior representatives from different research communities to give their perspective on the future. A series of short presentations (10 minutes) from our high-level panelists will give context and inspiration to round-table discussions between the all the workshop participants - each table will then make some recommendations at the end of the debate. Agenda 8:30 - 9:30 Registration and Coffee 9:30 - 9:45 Welcome & Introduction Niklas Blomberg (ELIXIR) 9:45 - 10:15 View from the European Commission Anna Panagopolou (European Commission) 10:15 - 11:00 Data needs across the life sciences in 2028 BiodiversityDimitris Koureas (Naturalis) Genomics and DiseaseSøren Brunak (University of Copenhagen) Molecular and Cellular BiologyChristine Orengo (UCL) Plants and AgricultureKlaas Vandepoele (VIB) 11:00 - 11:30 Coffee break 11:30 - 12:15 Breakout sessions on Scientific Topics 12:15 - 13:00 Lunch 13:00 - 13:30 Enabling collaborations - ELIXIR in the European landscape Data Management Hilary Hanahoe (RDA) EOSC Per Öster (CSC) ESFRIs Dominik Sobczak (European Commission) Software Paul Richmond (University of Sheffield) 13:30 - 14:15 Breakout sessions on Enabling Collaborations 14:15 - 14:45 Coffee break 14:15 - 14:45 Feedback from breakouts 15:15 - 16:15 Towards 2028 - data in life sciences in European and beyond - Panel discussion Alfonso Valencia (BSC) Claire Skentelbery (EuropaBio) Hugh Laverty (IHI) Søren Brunak (University of Copenhagen) Cancer Mission Board representative (tbc) 16:15 - 16:30 Final Remarks Niklas Blomberg (ELIXIR) 17:00 - 18:30 Drinks Reception 2022-07-06 08:30:00 UTC 2022-07-06 08:30:00 UTC The Hotel, Brussels, Belgium The Hotel Brussels Belgium [] [] [] [] [] []
  • Omics analyses: Pathways, Networks and Biomarkers

    12 - 14 July 2022

    Liverpool, United Kingdom

    Omics analyses: Pathways, Networks and Biomarkers A CBF three-day face-to-face intense course for experimental biologists and clinicians Demystify computational biology and come to learn: -Functional & pathway enrichment -In-silico biomarker discovery using multivariate methods and machine learning -Identification of transcriptional hubs & master regulators via network analysis -Best experimental design practices -Dedicated time to talk about your data and experiments Theory and practice sessions. 1-1 support. Requirements All materials have been built using relevant life sciences/clinical examples. The course has been designed for delegates with some R experience (basics). A refresher of R from beginner level is included and all relevant code will be provided such as delegates will only have to run specific scripts. Administrative details A significantly reduced access fee of £225 is available to all academic delegates. Other delegates will be quoted upon request. 2022-07-12 09:00:00 UTC 2022-07-14 17:00:00 UTC Computational Biology Facility TBC, Liverpool, United Kingdom TBC Liverpool Merseyside United Kingdom L69 7ZX Experimental design and studies Machine learning Data visualisation Bioinformatics University of Liverpool Liverpool Shared Research FacilitiesComputational Biology Facility Experimental Researchers 20 workshops_and_courses first_come_first_served Systems biology, Pathway analysis, Network analysis, Microarray data analysis, Nanomaterialsmachine learningExperimental designProteomicsMetabolomicstranscriptomics
  • Machine Learning for bioinformatics and systems biology

    26 - 30 September 2022

    Amsterdam, Netherlands

    Elixir node event
    Machine Learning for bioinformatics and systems biology In this one-week course, the foundations of machine learning will be laid out and commonly used methods for unsupervised (clustering, dimensionality reduction, visualization) and supervised (mainly classification) learning will be explained in detail. Methods will be illustrated using recent examples… The post Machine Learning for bioinformatics and systems biology appeared first on Dutch Techcentre for Life Sciences. 2022-09-26 09:00:00 UTC 2022-09-30 00:00:00 UTC Amsterdam, the Netherlands, Amsterdam, Netherlands Amsterdam, the Netherlands Amsterdam Netherlands [] [] [] workshops_and_courses [] []

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