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  • Metabolomics: Understanding Metabolism in the 21st Century

    14 September - 4 December 2020

    Elixir node event
    Metabolomics: Understanding Metabolism in the 21st Century https://tess.elixir-europe.org/events/metabolomics-understanding-metabolism-in-the-21st-century-9e853a8f-6a6f-40e7-9854-021aa2c07370 Metabolomics is an emerging field that aims to measure the complement of metabolites (the metabolome) in living organisms. The metabolome represents the downstream effect of an organism’s genome and its interaction with the environment. Metabolomics has a wide application area across the medical and biological sciences. The course provides an introduction to metabolomics, describes the tools and techniques we use to study the metabolome and explains why we want to study it. By the end of the course you will understand how metabolomics can revolutionise our understanding of metabolism. This course is designed as a 4-week course and the Educators will support discussions and learning in weeks 1 to 4 responding to questions and comments. The course will remain open for 12 weeks in total; if you join the course after week 5 we encourage you to read posts / comments on the platform to aid your learning. The Educators will answer comments and questions at a lower frequency in weeks 5 to 12. 2020-09-14 09:00:00 UTC 2020-12-04 23:59:00 UTC Birmingham Metabolomics Training Centre Metabolomics University of Birmingham bmtc@contacts.bham.ac.uk [] ScientistsPhD studentsMaster studentsUndergraduate students workshops_and_courses [] Metabolomics
  • Metabolomics Data Processing and Data Analysis

    12 October - 6 November 2020

    Elixir node event
    Metabolomics Data Processing and Data Analysis https://tess.elixir-europe.org/events/metabolomics-data-processing-and-data-analysis-3855a7d7-cf12-44e8-8d22-d6c252487ce0 This online course explores the tools and approaches that are used to process and analyse metabolomics data. You will investigate the challenges that are typically encountered in the analysis of metabolomics data, and provide solutions to overcome these problems. The materials in this course are delivered via the FutureLearn platform over a four week period, with an estimated learning time of four hours per week. Each week you will work through a number of steps to complete the learning material. A step may include a short video, an article, an exercise with step-by-step instructions, a test or a discussion to interact with your peer or the educators. All of the course material is uploaded to the FutureLearn platform so that you can complete the steps at a convenient time for you. We (the educators) support your learning via social discussions where you will be able post questions and comments to the team of educators and the other learners on the course throughout the 4 weeks. In the final week of the course there is a live question and answer session with the entire team of educators. You will be provided with information to join the question and answer session via the FutureLearn platform and you can post questions in advance. The question and answer session will be recorded and a video uploaded to the FutureLearn platform. If you do not have time to complete the course during the 4-week period you will retain access to the course material to revisit, as you are able. 2020-10-12 09:00:00 UTC 2020-11-06 23:59:00 UTC Birmingham Metabolomics Training Centre Bioinformatics Metabolomics University of Birmingham bmtc@contacts.bham.ac.uk [] ScientistsPhD studentsMaster students workshops_and_coursesmeetings_and_conferences [] MetabolomicsData processingData analysis
  • ELIXIR CZ Artificial Intelligence in Life Sciences I

    26 - 27 October 2020

    Prague, Czechia

    Elixir node event
    ELIXIR CZ Artificial Intelligence in Life Sciences I https://tess.elixir-europe.org/events/elixir-cz-artificial-intelligence-in-life-sciences-i This workshop will provide a basic introduction to machine learning and its application in Life Sciences, with a special focus on molecular and cell biology. Data-driven approaches penetrate various scientific disciplines, including the fields of biology, biochemistry and biotechnology. Novel technologies of high-throughput data collection and advanced data analysis, such as deep neural networks, offer exceptional opportunities for the development of very complex and accurate mathematical models. The theoretical lectures will cover main methods, algorithms and technologies, illustrate their use in biology and biochemistry research using real-life examples. Hands-on practicals will provide participants with essential skills for the application of machine learning methods and software tools for solving problems in Life Sciences. We plan to continue in our effort to organize follow-ups of this meeting and focus on challenging issues in life science disciplines approachable by AI technology. 2020-10-26 11:00:00 UTC 2020-10-27 14:00:00 UTC ELIXIR CZ, IOCB, FNUSA – ICRC, University of West Bohemia Flemingovo nám. 542, 542, Flemingovo náměstí, Prague, Czechia Flemingovo nám. 542, 542, Flemingovo náměstí Prague Hlavní město Praha Czechia 166 10 [] https://www.elixir-czech.cz/events/elixir-cz-artificial-intelligence-in-life-sciences-oct-2020 [] [] 75 workshops_and_courses first_come_first_served Artificial Intelligencemachine learningDrug design
  • WORKSHOP: Online data analysis for biologists - November 2020

    12 November 2020

    WORKSHOP: Online data analysis for biologists - November 2020 https://tess.elixir-europe.org/events/workshop-online-data-analysis-for-biologists-november-2020 Galaxy is an online platform for biological research that allows people to use computational data analysis tools and workflows without the need for programming experience. It is an open source, web-based platform for accessible, reproducible, and transparent computational biomedical research. It also captures run information so that workflows can be saved, repeated and shared efficiently via the web. This interactive beginners workshop will provide an introduction to the Galaxy interface, histories and available tools. The material covered in this workshop is freely available through the Galaxy Training Network. 2020-11-12 14:00:00 UTC 2020-11-12 17:00:00 UTC Australian BioCommons Australia, Australia Australia Australia Bioinformatics [] [] Biologists workshops_and_courses [] GalaxyData analysislifescience
  • Quality Assurance and Quality Control in Metabolomics

    30 November - 18 December 2020

    Elixir node event
    Quality Assurance and Quality Control in Metabolomics https://tess.elixir-europe.org/events/quality-assurance-and-quality-control-in-metabolomics-fc8eb4e0-eaca-4a9a-8c76-1f3bf559d9a1 The application of quality assurance and quality control in the metabolomics field is vital to ensure the collection of high quality data. In this course you will explore the importance of quality assurance and quality control in both untargeted and targeted metabolomics studies. We will explain the difference between quality control and quality assurance and how to apply in your studies and laboratories. You will evaluate the types of quality control samples that can be applied in metabolomics, what is the most appropriate quality control sample to use in your research, and how to apply the data in your quality assurance procedure to produce robust and reproducible data. The materials in this course are delivered via the FutureLearn platform over a three week period, with an estimated learning time of four hours per week. Each week you will work through a number of steps to complete the learning material. A step may include a short video, an article, an exercise with step-by-step instructions, a discussion to interact with your peer and a selection of quizzes, tests and polls to self-assess your own learning. All of the course material is uploaded to the FutureLearn platform so that you can complete the steps at a convenient time for you. We (the educators) support your learning via social discussions where you will be able post questions and comments to the team of educators and the other learners on the course throughout the three weeks. In the final week of the course we will record a summary video where we will respond to questions posted by you during the course. If you do not have time to complete the course during the 3-week period you will retain access to the course material to revisit, as you are able. 2020-11-30 09:00:00 UTC 2020-12-18 23:59:00 UTC Birmingham Metabolomics Training Centre Metabolomics University of Birmingham [] ScientistsPhD studentsMasters students meetings_and_conferencesworkshops_and_courses [] MetabolomicsQuality AssuranceQuality Control

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