Register event
  • Bacterial Genomes: Disease Outbreaks and Antimicrobial Resistance

    31 August 2020 - 3 January 2021

    Bacterial Genomes: Disease Outbreaks and Antimicrobial Resistance https://tess.elixir-europe.org/events/bacterial-genomes-disease-outbreaks-and-antimicrobial-resistance-2aa0df3a-e74c-4f5c-acc3-8c2ee0847f71 # Overview * **Duration**: 3 weeks, 3 hours per week * Free * Certificate of achievement available on satisfactory completion * **CPD Approval**: Royal College of Pathologists (9 credits), Royal College of Nursing (9 credits) * **Start Date**: The course is run ‘live’ for 3 weeks from the start date above. Once this period is over there will be no live monitoring of the forums, but you can still join and complete the course during the remaining period. ### Why join the course? The increase in resistance of harmful bacteria to antibiotics is a major global threat to health. Here we explore bacterial genomes and the use of genome sequencing to identify and track these drug resistant bacteria. Join us to discover how genome research is helping scientists and healthcare professionals track disease outbreaks and prevent the rise of antibiotic resistant ‘superbugs’. ### Who is the course for? This course will be of interest to scientists, healthcare professionals, biomedical researchers and bioinformaticians. The course offers all learners an opportunity to learn about genomes, disease, and antimicrobial resistance. You require no previous knowledge of genome science to complete the course. ### What do people say about this course? "_I would definitely point students to this resource. Text, videos, and figures were all very well done._" Pablo Tsukayama, Assistant Professor of Microbiology "_A highlight of the course was the introduction to whole genome sequencing – new information for me._" Christine Laws, Medical Doctor “_Exchanging genetic information quickly throughout the world is clearly going to revolutionise the ability to combat disease._” Prue van der Hoorn, Artist # Programme and start dates ### Course start dates This course is repeated twice a year. ### What topics will you cover? * Diseases caused by bacteria * What bacterial genomes look like * Genome sequencing technology * Mechanisms of transmission and resistance * Genomic epidemiology – tracking the spread of bacterial pathogens * Antimicrobial resistance ### What will you achieve? By the end of the course, you'll be able to... * Explain why some bacteria are pathogenic * Explore the structure of bacterial genomes * Describe the uses of different genome sequencing technologies * Investigate how genome data are used to track the spread of bacterial disease * Discuss the role of genome sequencing in stopping the spread of antimicrobial resistance # Educators ## **Lead Educators** **[Dr Adam Reid][1]** I am a senior staff scientist at the Wellcome Sanger Institute near Cambridge in the United Kingdom. I'm interested in using genomics and bioinformatics to better understand infectious diseases. **[Dr Josie Bryant][2]** I am a Henry Wellcome Postdoctoral Fellow in the University of Cambridge, Department of Medicine. I am working on bacterial genomics and evolution with a focus on within-patient microbial diversity ### Dr Francesca Short I am a scientist at the Wellcome Sanger Institute. I am interested in using functional genomics techniques to understand infections caused by the bacterium _Klebsiella pneumoniae_. ## **Programme Lead Educator** **[Professor Nicholas Thomson][3]** I am a Group Leader at the Wellcome Sanger Institute. I provide scientific oversight for this course. I am interested in bacterial evolution and the spread of infectious disease. ### The course also features interviews with distinguished scientists, including: * **[Mathew Beale][4]** - Wellcome Sanger Institute * **[Daryl Domman][5]** - Wellcome Sanger Institute * **[Gal Horesh][6]** - Wellcome Sanger Institute * **[Catherine Ludden][7]** - London School of Hygiene and Tropical Medicine * **[Tapoka Mkandawire][8]** - Wellcome Sanger Institute * **[Julian Parkhill][9]** - Wellcome Sanger Institute * **Lindsay Pike** - Wellcome Sanger Institute * **[Michael Quail][10]** - Wellcome Sanger Institute * **[Susannah J. Salter][11]** - Wellcome Sanger Institute * **[Estee Torok][12]** - Addenbrooke’s Hospital and University of Cambridge [1]: http://www.sanger.ac.uk/people/directory/reid-adam-james [2]: https://www.infectiousdisease.cam.ac.uk/directory/josie-bryant [3]: http://www.sanger.ac.uk/people/directory/thomson-nicholas-robert [4]: http://www.sanger.ac.uk/people/directory/beale-mathew [5]: http://www.sanger.ac.uk/people/directory/domman-daryl [6]: http://www.sanger.ac.uk/people/directory/horesh-gal [7]: https://www.lshtm.ac.uk/aboutus/people/ludden.catherine [8]: http://www.sanger.ac.uk/people/directory/mkandawire-tapoka-t [9]: http://www.sanger.ac.uk/people/directory/parkhill-julian [10]: http://www.sanger.ac.uk/people/directory/quail-michael-andrew [11]: http://www.sanger.ac.uk/people/directory/salter-susannah-j [12]: https://www.infectiousdisease.cam.ac.uk/directory/et317@medschl.cam.ac.uk # What's Included Wellcome Genome Campus Advanced Courses and Scientific Conferences are offering everyone who joins this course a free digital upgrade, so that you can experience the full benefits of studying online for free. This means that you get: * Unlimited access to this course * Includes any articles, videos, peer reviews and quizzes * Tests to validate your learning * A PDF Certificate of Achievement to prove your success when you’re eligible # CDP Approval 2020-08-31 09:00:00 UTC 2021-01-03 23:59:59 UTC Wellcome Genome Campus - Advanced Courses [] advancedcourses@wellcomegenomecampus.org [] [] workshops_and_courses [] bacterialgenomesAMRHDRUK
  • 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
  • WEBINAR: Galaxy Australia: enabling online data analysis for the research community

    4 November 2020

    WEBINAR: Galaxy Australia: enabling online data analysis for the research community https://tess.elixir-europe.org/events/webinar-galaxy-australia-enabling-online-data-analysis-for-the-research-community Galaxy is your ultimate research buddy - an online platform for biological research that gives you access to computational data analysis tools and workflows without the need for programming experience. It is supported by a rich collection of training materials and an active community of scientists. In this webinar we explore how Galaxy can transform your research through access to high performance computing power coupled with open, reproducible computational workflows and support from the Galaxy community. We’ll look at real-life examples of how Galaxy workflows are being applied to integrative meta-omics of microbial communities and how Galaxy is being leveraged to address the global challenges of COVID-19 research. Presenters: Dr Gareth Price, Service Manager, Galaxy Australia & Dr Johan Gustafsson, Bioinformatics Engagement Officer, Australian BioCommons Who the webinar is for: This webinar is suitable for life-science researchers. No prior knowledge of Galaxy or programming is required. 2020-11-04 13:00:00 UTC 2020-11-04 14:00:00 UTC Australian BioCommons Omics Bioinformatics [] [] Life Science Researchers workshops_and_courses first_come_first_served Data analysislife sciencesbioinformatics
  • 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

Note, this map only displays events that have geolocation information in TeSS.
For the complete list of events in TeSS, click the grid tab.