Event types: Workshops and courses
Metabolomics Data Processing and Data Analysis
12 October - 6 November 2020Metabolomics Data Processing and Data Analysis https://www.birmingham.ac.uk/facilities/metabolomics-training-centre/courses/2020/Metabolomics-Data-Processing-and-Data-Analysis.aspx 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 email@example.com  ScientistsPhD studentsMaster students workshops_and_coursesmeetings_and_conferences  MetabolomicsData processingData analysis
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