Register event
12 events found

Node: United Kingdom 

  • 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
  • Data Science School: Machine learning applications for life sciences (Online)

    17 - 22 September 2020

    Cambridge, United Kingdom

    Elixir node event
    Data Science School: Machine learning applications for life sciences (Online) https://tess.elixir-europe.org/events/data-science-school-machine-learning-applications-for-life-sciences THIS EVENT IS NOW FULLY BOOKED! PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We aim to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout. This School aims to familiarise biomedical students and researchers with principles of Data Science. Focusing on utilising machine learning algorithms to handle biomedical data, it will cover: effects of experimental design, data readiness, pipeline implementations, machine learning in Python, and related statistics, as well as Gaussian Process models. Providing practical experience in the implementation of machine learning methods relevant to biomedical applications, including Gaussian processes, we will illustrate best practices that should be adopted in order to enable reproducibility in any data science application. This event is sponsored by [Cambridge Centre for Data-Driven Discovery (C2D3)](https://www.bigdata.cam.ac.uk/). Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3357195&amp;course-title=Data%20Science%20School).'' 2020-09-17 09:00:00 UTC 2020-09-22 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Machine learning Bioinformatics University of Cambridge Bioinformatics Training [] Students and researchers from life-sciences or biomedical backgroundswho haveor will shortly havethe need to apply the techniques presented during the course to biomedical data.The course is open to Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals<span style="color:#FF0000">Please note that all participants attending this course will be charged a registration fee. <span style="color:#0000FF"> Non-members of the University of Cambridge to pay £400. </span style> <span style="color:#0000FF">All Members of the University of Cambridge to pay £200. </span style> <span style="color:#FF0000">A booking will only be approved and confirmed once the fee has been paid in full.</span style> workshops_and_courses [] HDRUK
  • An Introduction to Solving Biological Problems with Python (ONLINE LIVE TRAINING)

    23 - 24 September 2020

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Solving Biological Problems with Python (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/an-introduction-to-solving-biological-problems-with-python-online-live-training-9e9853da-7fc8-48ca-9b26-ef587b08f115 PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We aim to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout. This course provides a practical introduction to the writing of Python programs for the complete novice. Participants are lead through the core aspects of Python illustrated by a series of example programs. Upon completion of the course, attentive participants will be able to write simple Python programs and customize more complex code to fit their needs. Course materials are available [here](http://pycam.github.io/). Please note that the content of this course has recently been updated. This course now mostly focuses on core concepts including Python syntax, data structures and reading/writing files. Concepts and strategies for working more effectively with Python are now the focus of a new 2-days course, [Data Science in Python](http://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-dspyt/). Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3574283&amp;course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20Python).'' 2020-09-23 08:30:00 UTC 2020-09-24 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Data Science in Python (ONLINE LIVE TRAINING)

    28 - 29 September 2020

    Cambridge, United Kingdom

    Elixir node event
    Data Science in Python (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/data-science-in-python-online-live-training-71027e74-1bfb-44fb-9091-3962ed5dedbe PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We aim to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout. This course covers concepts and strategies for working more effectively with Python with the aim of writing reusable code, using function and libraries. Participants will acquire a working knowledge of key concepts which are prerequisites for advanced programming in Python e.g. writing modules and classes. Note: this course is the continuation of the [Introduction to Solving Biological Problems with Python](http://training.csx.cam.ac.uk/bioinformatics/course/bioinfo-python/); participants are expected to have attended the introductory Python course and/or have acquired some working knowledge of Python. This course is also open to Python beginners who are already fluent in other programming languages as this will help them to quickly get started in Python. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3573762&amp;course-title=Data%20Science%20in%20Python).'' 2020-09-28 08:30:00 UTC 2020-09-29 15:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Biology Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Introduction to R for Biologists (ONLINE LIVE TRAINING)

    1 - 2 October 2020

    Cambridge, United Kingdom

    Elixir node event
    Introduction to R for Biologists (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/introduction-to-r-for-biologists-online-live-training-27fd895b-753e-4b53-964d-1aa9ea9ad8dd PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online, with tutors to assist you with instant and personalised feedback and to help you to run/execute the scripts which we will be using during the course. We aim to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout. R is one of the leading programming languages in Data Science. It is widely used to perform statistics, machine learning, visualisations and data analyses. It is an open source programming language so all the software we will use in the course is free. This course is an introduction to R designed for participants with no programming experience. We will start from scratch by introducing how to start programming in R and progress our way and learn how to read and write to files, manipulate data and visualise it by creating different plots - all the fundamental tasks you need to get you started analysing your data. During the course we will be working with one of the most popular packages in R; tidyverse that will allow you to manipulate your data effectively and visualise it to a publication level standard. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3573719&amp;course-title=Introduction%20to%20R%20for%20Biologists).'' 2020-10-01 08:30:00 UTC 2020-10-02 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • An Introduction to Machine Learning (ONLINE LIVE TRAINING)

    5 - 8 October 2020

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Machine Learning (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/an-introduction-to-machine-learning-online-live-training-a2aeb4bb-41d7-4a01-8977-d5172fecc0cd PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We aim to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout. Machine learning gives computers the ability to learn without being explicitly programmed. It encompasses a broad range of approaches to data analysis with applicability across the biological sciences. Lectures will introduce commonly used algorithms and provide insight into their theoretical underpinnings. In the practicals students will apply these algorithms to real biological data-sets using the R language and environment. Please be aware that the course syllabus is currently being updated following feedback from the last event; therefore the agenda below will be subjected to changes. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3590342&amp;course-title=An%20Introduction%20to%20Machine%20Learning).'' 2020-10-05 08:30:00 UTC 2020-10-08 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Machine learning Data mining University of Cambridge Bioinformatics Training [] This is aimed at life scientists with little or no experience in machine learning and that are looking at implementing these approaches in their research.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • 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
  • Extracting biological information from gene lists (ONLINE LIVE TRAINING)

    15 October 2020

    Cambridge, United Kingdom

    Elixir node event
    Extracting biological information from gene lists (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/extracting-biological-information-from-gene-lists-online-live-training PLEASE NOTE that until further notice, due to the evolving situation with Coronavirus no courses will be offered as classroom based at the Training Facility. The Bioinformatics Team will be teaching the course live online in conjunction with the presenters. Many experimental designs end up producing lists of hits, usually based around genes or transcripts. Sometimes these lists are small enough that they can be examined individually, but often it is useful to do a more structured functional analysis to try to automatically determine any interesting biological themes which turn up in the lists. This course looks at the various software packages, databases and statistical methods which may be of use in performing such an analysis. As well as being a practical guide to performing these types of analysis the course will also look at the types of artefacts and bias which can lead to false conclusions about functionality and will look at the appropriate ways to both run the analysis and present the results for publication. Course materials are available [here](https://www.bioinformatics.babraham.ac.uk/training.html#fagl). Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3566444&amp;course-title=Extracting%20biological%20information%20from%20gene%20lists).'' 2020-10-15 08:30:00 UTC 2020-10-15 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Biology Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Analysis of DNA Methylation using Sequencing (ONLINE LIVE TRAINING)

    16 October 2020

    Cambridge, United Kingdom

    Elixir node event
    Analysis of DNA Methylation using Sequencing (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/analysis-of-dna-methylation-using-sequencing-online-live-training PLEASE NOTE that until further notice, due to the evolving situation with Coronavirus no courses will be offered as classroom based at the Training Facility. The Bioinformatics Team will be teaching the course live online in conjunction with the presenters. This course will cover all aspects of the analysis of DNA methylation using sequencing, including primary analysis, mapping and quality control of BS-Seq data, common pitfalls and complications. It will also include exploratory analysis of methylation, looking at different methods of quantitation, and a variety of ways of looking more widely at the distribution of methylation over the genome. Finally the course will look at statistical methods to predict differential methylation. The course will be comprised of a mixture of theoretical lectures and practicals covering a range of different software packages. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3566473&amp;course-title=Analysis%20of%20DNA%20Methylation%20using%20Sequencing).'' 2020-10-16 08:30:00 UTC 2020-10-16 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Epigenetics Data visualisation Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Introduction to Scientific Figure Design (ONLINE LIVE TRAINING)

    30 October 2020

    Cambridge, United Kingdom

    Elixir node event
    Introduction to Scientific Figure Design (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/introduction-to-scientific-figure-design-online-live-training PLEASE NOTE that until further notice, due to the evolving situation with Coronavirus no courses will be offered as classroom based at the Training Facility. The Bioinformatics Team will be teaching the course live online in conjunction with the presenters. This course provides a practical guide to producing figures for use in reports and publications. It is a wide ranging course which looks at how to design figures to clearly and fairly represent your data, the practical aspects of graph creation, the allowable manipulation of bitmap images and compositing and editing of final figures. The course will use a number of different open source software packages and is illustrated with a number of example figures adapted from common analysis tools. Further information and access to the course materials is [here](http://www.bioinformatics.babraham.ac.uk/training.html#figuredesign). Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3566463&amp;course-title=Introduction%20to%20Scientific%20Figure%20Design).'' 2020-10-30 09:30:00 UTC 2020-10-30 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data visualisation Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • 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
  • LIPID MAPS Spring School

    12 - 16 April 2021

    Cardiff, United Kingdom

    LIPID MAPS Spring School https://tess.elixir-europe.org/events/lipid-maps-spring-school This Spring School will focus on theoretical and practical aspects of lipidomics, using state-of-the-art approaches. There will be a major focus on the underlying biology and biochemistry of lipids, including their roles in health and disease. There will be 20+ sessions over 5 days, topics include neutral lipids, fatty acids, eicosanoids, sphingolipids, sterols and bile acids. An introduction to MS-based lipidomics will cover all aspects from sample preparation, storage, chromatography, instrumentation, and identification using databases including LIPID MAPS. There will be a dedicated session on novel technologies, such as iKnife, REIMS, imaging, and new standards for quantitation. This will be alongside practical tutorials on software and informatics tools for lipidomics. An introduction into data integration using biostatistics and systems biology, to include lipid 2021-04-12 09:00:00 UTC 2021-04-16 17:00:00 UTC Cardiff University Park Plaza Cardiff, Greyfriars Road, Cardiff, United Kingdom Park Plaza Cardiff, Greyfriars Road Cardiff United Kingdom CF10 3AL [] [] Early Career Researcher [] [] lipidomics

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