Keywords: Transcriptomics or • New developments in techn... or drugdiscovery or Tumor biology and genetics or structural biology or polyploidy for plant and an... or Disease maps or Open Targets or bioinformatics or data management
GOBLET/ELIXIR-EXCELERATE Workshop on e-learning
21 November 2017
Oeiras, PortugalGOBLET/ELIXIR-EXCELERATE Workshop on e-learning https://elixir.mf.uni-lj.si/course/view.php?id=28 https://tess.elixir-europe.org/events/goblet-elixir-excelerate-workshop-on-e-learning GOBLET/ELIXIR-EXCELERATE Workshop on e-learning, Nov 21, 2017 at the Gulbenkian Institute of Science, Oeiras, Portugal 2017-11-21 09:00:00 UTC 2017-11-21 17:00:00 UTC Instituto Gulbenkian, ELIXIR Portugal, GOBLET Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande, Oeiras, Portugal Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande Oeiras Portugal Bioinformatics Instituto Gulbenkian de Ciência  Researchersteachers workshops_and_courses registration_of_interest TeachingeLearningEeLPbioinformatics
Introduction to Machine Learning
9 September 2019
Basel, SwitzerlandIntroduction to Machine Learning https://fpsom.github.io/IntroToMachineLearning/ https://tess.elixir-europe.org/events/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 (email@example.com)   30 workshops_and_courses first_come_first_served bioinformaticsmachine learning
12 November 2019
Oeiras, PortugalPlant Phenotyping https://biodata.pt/event/plant-phenotyping-genotyping-data-management-workshop https://tess.elixir-europe.org/events/plant-phenotyping Plant phenotyping research has gone through a data revolution with the automation of plant phenotyping platforms, making it critical to adopt good data management practices in order the exploit the torrent of data to its full potential. Concretely, data should be published in a Findable, Accessible, Interoperable and Reusable (FAIR) way in order to enable the integration of data from disparate sources and the discovery of new knowledge. Yet, this is one of the more challenging domains to standardize, as it is extremely heterogeneous in terms of experimental settings and types of data. The ELIXIR infrastructure, with prominent contributions from BioData.pt (the Portuguese ELIXIR node) has been tackling this challenge at the European and international level, by developing standards and services to enable the management of plant phenotype-genotype data and its publication in accordance with the FAIR principles. In this workshop, we will be presenting the outcomes of this work from the ELIXIR plant sciences community, featuring a keynote from one of its key members, Dr. Anne-Françoise Adam-Blondon (ELIXIR-France), a detailed tutorial about the design and usage of the MIAPPE (Minimum Information About Plant Phenotyping Experiments), a hands-on data annotation and publication session, and a demonstration of ELIXIR’s Plant Data Search service. 2019-11-12 14:00:00 UTC 2019-11-12 19:00:00 UTC ITQB Instituto de Tecnologia Química e Biológica António Xavier, Oeiras, Portugal Instituto de Tecnologia Química e Biológica António Xavier Oeiras Lisbon Portugal 2775-412 Oeiras ITQB NOVA - Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de LisboaBiodata.pt - Elixir's portuguese node of the european projec  Life Science ResearchersBiologists, Genomicists, Computer Scientistsplant researchers workshops_and_courses  Plant PhenotypingGenotypingdata managementbioinformatics
An Introduction to Data Management
23 June 2020An Introduction to Data Management https://www.ccmar.ualg.pt/advanced-tech-training/introduction-data-management https://tess.elixir-europe.org/events/an-introduction-to-data-management Understanding data management in a research environment is becoming increasingly important as national and European infrastructures promote ERA-wide Open Science policies. At present EU funding agencies require researchers to provide a Data Management Plan; a requirement that is likely to be standard at the national level in the near future. So what are the responsibilities of publicly-funded researchers with respect to scientific data? This course will introduce (meta) data types, how they are managed in an Open Science research environment, and how to comply with FAIR data principles. The course will also discuss what computational resources and expertise are available to researchers. Presented and sponsored by BioData.pt/ELIXIR.pt - the Portuguese National Bioinformatics Infrastructure - and the Ready for BioData Management Programme. 2020-06-23 10:00:00 UTC 2020-06-23 12:30:00 UTC CCMAR / BioData.pt Data management CCMAR, Centre for Marine Sciences Cymon J. Cox (https://www.ccmar.ualg.pt/users/cymon) BioData.pt ResearchersGraduate Students 150 workshops_and_courses registration_of_interest data managementData management plan
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