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 online learning
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
CAS Personalized Molecular Oncology
1 October 2018 - 31 July 2019
Basel, SwitzerlandCAS Personalized Molecular Oncology https://advancedstudies.unibas.ch/courses/course/cas-personalized-molecular-oncology-191983 https://tess.elixir-europe.org/events/cas-personalized-molecular-oncology The CAS in Personalized Molecular Oncology aims at providing a comprehensive and integrative view of the field, by covering all the aspects involved along the pipeline: (i) tumor biology and genetics, (ii) molecular pathology, (iii) clinical bioinformatics, and (iv) clinical oncology. First of its kind in Switzerland, it will focus on the methodologies used to generate, analyze and interpret patients’ molecular profiles, also touching upon the associated technical, regulatory and ethical challenges. As an important outcome, it will establish a common language between the wide range of professionals involved in the personalized oncology process, from biologists, bioinformaticians, pathologists to clinicians, enabling an efficient and better informed use of e.g. genomic data for both routine clinical practice and clinical research. Moreover, it should empower professionals to develop a vision for their own institution, by critically evaluating the potential benefits and limitations of current and future developments in personalized oncology. The CAS is organized jointly by the University Hospital of Basel, the University Hospital of Lausanne, and the SIB Swiss Institute of Bioinformatics. 2018-10-01 09:00:00 UTC 2019-07-31 17:00:00 UTC SIB Swiss Institute of Bioinformatics Pathologie Universitätsspital Basel, 40, Schönbeinstrasse, Basel, Switzerland Pathologie Universitätsspital Basel, 40, Schönbeinstrasse Basel Switzerland University Hospital of BaselSIB Swiss Institute of BioinformaticsUniversity Hospital of Lausanne Dr. Aitana Lebrand Clinical Bioinformatics SIB | Swiss Institute of Bioinformatics Ch. des Mines 9 CH-1202 Genève Tel. +41 (0)22 379 02 67 firstname.lastname@example.org  Professionals involved in personalized molecular oncology, including laboratory managers, biologists, bioinformaticians, pathologists, geneticists, clinicians and pharmaceutical company employees. workshops_and_courses registration_of_interest Tumor biology and geneticsMolecular pathologyClinical BioinformaticsClinical oncology
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
6 - 9 October 2020Train-the-Trainer http://biodata.pt https://tess.elixir-europe.org/events/train-the-trainer-a201e364-a145-425c-a820-bf1c53f37461 Importants dates: Course ONLINE sessions: October 6th-9th, 14:00-17:30 CET. Deadline for applications: Sept 28th Decisions communicated intil: October2nd Our Train-the-Trainer courses are for any scientists: - with little or no experience in training - who want to become an instructor or a better one - who believe that their professional development will encompass delivering training proficiently Instructors: Allegra Via, ELIXIR-IT, Patricia Palagi, ELIXIR-CH and Pedro Fernandes, ELIXIR-PT This course will cover four main topics: Learning principles and how they apply to education and training; Teaching techniques that enhance learner engagement and participation; Design of lessons, course and materials; Assessment and feedback in training and teaching. Examples and discussions will also focus on the challenges presented by academic teaching. The four ONLINE sessions will have a maximum duration of 3.5 hours. Participants will be asked to prepare a small amount of homework, OFFLINE between the sessions. No partcipation fee will be charged. A maximum of 12 selected candidates will be accepted. To apply: write an e-mail to bicourses”at”igc.gulbenkian.pt explaining why you would like to attend, mentioning your personal expectations and background knowledge about delivering training, if any. Please provide contact data, specifically full name, affiliation, address and telephone number. 2020-10-06 14:00:00 UTC 2020-10-09 17:30:00 UTC Pedro L Fernandes IGC - Instituto Gulbenkian de CiênciaSIB Swiss Institute of BioinformaticsIBB firstname.lastname@example.org ELIXIR  12 workshops_and_courses registration_of_interest online learningpedagogyCourse designCourse development
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