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  • Bacterial Genomes: Disease Outbreaks and Antimicrobial Resistance

    1 January - 31 December 2021

    Bacterial Genomes: Disease Outbreaks and Antimicrobial Resistance https://tess.elixir-europe.org/events/bacterial-genomes-disease-outbreaks-and-antimicrobial-resistance-b178602b-e29f-4ac7-afbf-5deafd52f8dd # Overview * **Duration**: There is no longer a live period for this course, and there will be no live monitoring of the forums, but you can still join and complete the course throughout 2021. * Free * Certificate of achievement available on satisfactory completion * **CPD Approval**: Royal College of Pathologists (9 credits), Royal College of Nursing (9 credits)** ** ### 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 ### 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 2021-01-01 09:00:00 UTC 2021-12-31 23:59:59 UTC Wellcome Genome Campus - Advanced Courses [] advancedcourses@wellcomegenomecampus.org [] [] workshops_and_courses [] bacterialgenomesAMRHDRUK
  • Next Generation Sequencing Platforms and Bioinformatics Analysis (ONLINE LIVE TRAINING)

    26 - 27 October 2021

    Cambridge, United Kingdom

    Elixir node event
    Next Generation Sequencing Platforms and Bioinformatics Analysis (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/next-generation-sequencing-platforms-and-bioinformatics-analysis-online-live-training-e3757e4e-fa87-48a9-b5bf-256dd59b045b PLEASE NOTE The Bioinformatics Team are presently teaching as many courses live online. 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. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. Day 1 will introduce you to next generation sequencing technologies (NGS) and how they work, providers, common bioinformatics workflows, standardised file types, quality control. This session will include an introduction to Galaxy. [Galaxy](https://galaxyproject.org/) is an open, web-based platform for data-intensive life science research that enables non-bioinformaticians to create, run, tune, and share their own bioinformatic analyses. Day 2 will be hands-on practicals on using Galaxy to explore sequencing quality control, before and after removal of low quality samples. This forms the core of all NGS analyses and this day will conclude with how this data pipes into gene expression studies, variant calling and genome assemblies. 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=4036128&course-title=NGS%20Platforms%20and%20Bioinformatics%20Analysis).'' 2021-10-26 08:00:00 UTC 2021-10-27 11:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Bioinformatics University of Cambridge Bioinformatics Training [] Biologistswet-lab scientistsbioinformatics and other life scientists planning to work with next-generation sequencing data.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)

    2 - 5 November 2021

    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-cf5cb065-abcc-47d8-ac97-76fdc498f962 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 continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. 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=4039513&course-title=Introduction%20to%20R%20for%20Biologists).'' 2021-11-02 09:30:00 UTC 2021-11-05 17:30:00 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
  • Analysis of single cell RNA-seq data (ONLINE LIVE TRAINING)

    4 - 18 November 2021

    Cambridge, United Kingdom

    Elixir node event
    Analysis of single cell RNA-seq data (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/analysis-of-single-cell-rna-seq-data-online-live-training PLEASE NOTE The Bioinformatics Team are presently teaching many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. Recent technological advances have made it possible to obtain genome-wide transcriptome data from single cells using high-throughput sequencing (scRNA-seq). Even though scRNA-seq makes it possible to address problems that are intractable with bulk RNA-seq data, analysing scRNA-seq is also more challenging. In this course we will be surveying the existing problems as well as the available computational and statistical frameworks available for the analysis of scRNA-seq. 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=4036239&&course-title=Analysis%20of%20single%20cell%20RNA-seq%20data).'' 2021-11-04 09:30:00 UTC 2021-11-18 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Transcriptomics Functional genomics Data visualisation Data mining 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
  • Metagenomics bioinformatics

    9 - 12 November 2021

    Cambridge, United Kingdom

    Elixir node event
    Metagenomics bioinformatics https://tess.elixir-europe.org/events/metagenomics-bioinformatics-57053a63-9889-4fee-bb77-70394c57f080 EMBL-EBI plans to deliver the majority of its 2021 events face-to-face with a small number of virtual events. Please note that some events that are currently listed as ‘on-site’ might need to be delivered virtually, depending on the prevailing status of the pandemic at the time. More courses will be added to this programme as our plans develop further. 2021-11-09 09:00:00 UTC 2021-11-12 17:00:00 UTC European Bioinformatics Institute (EMBL-EBI), Cambridge, United Kingdom European Bioinformatics Institute (EMBL-EBI) Cambridge United Kingdom CB10 1SD [] Meredith Willmott [] [] [] [] HDRUK
  • Metagenomics bioinformatics (Virtual)

    9 - 12 November 2021

    Cambridge, United Kingdom

    Elixir node event
    Metagenomics bioinformatics (Virtual) https://tess.elixir-europe.org/events/metagenomics-bioinformatics-virtual-24fa1698-1f9b-4529-893a-8fe88b17b165 Gain knowledge of the tools, processes and analysis approaches used in the field of metagenomics. This course will cover the metagenomics data analysis workflow from the point of newly generated sequence data. Participants will explore the use of publicly available resources and tools to manage, share, analyse and interpret metagenomics data. 2021-11-09 09:00:00 UTC 2021-11-12 17:00:00 UTC European Bioinformatics Institute (EMBL-EBI), Cambridge, United Kingdom European Bioinformatics Institute (EMBL-EBI) Cambridge United Kingdom CB10 1SD [] Meredith Willmott [] [] [] [] HDRUK
  • Introduction to Statistical Analysis (Online)

    9 November 2021

    Cambridge, United Kingdom

    Elixir node event
    Introduction to Statistical Analysis (Online) https://tess.elixir-europe.org/events/introduction-to-statistical-analysis-online-296374b8-5b8c-4190-a0dc-86057641cd04 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 continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. This course provides a refresher on the foundations of statistical analysis. The emphasis is on interpreting the results of a statistical test, and being able to determine the correct test to apply. Practicals are conducted using a series of online apps, and we will not teach a particular statistical analysis package, such as R. For courses that teach R, please see the links under "Related courses" . This event is part of a series of training courses organized in collaboration with the Bioinformatics Core Facility at [CRUK Cambridge Institute](http://www.cruk.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 Interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=4007755&course-title=Introduction%20to%20Statistical%20Analysis).'' 2021-11-09 09:30:00 UTC 2021-11-09 17:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR 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
  • Core Statistics using R (ONLINE LIVE TRAINING)

    12 - 26 November 2021

    Cambridge, United Kingdom

    Elixir node event
    Core Statistics using R (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/core-statistics-using-r-online-live-training-03b1a824-6682-4ac6-ac2c-0d33014a3a72 The Bioinformatics Team are presently teaching this course live online, with tutors available to help you throughout if have any questions. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching in our training room. This [award winning](https://www.cctl.cam.ac.uk/teaching-prizes/tel-prize/2020) virtually delivered course is intended to provide a strong foundation in practical statistics and data analysis using the R software environment. The underlying philosophy of the course is to treat statistics as a practical skill rather than as a theoretical subject and as such the course focuses on methods for addressing real-life issues in the biological sciences. There are three core goals for this course: # Use R confidently for statistics and data analysis # Be able to analyse datasets using standard statistical techniques # Know which tests are and are not appropriate R is an open source programming language so all of the software we will use in the course is free. In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. The focus of the course is on practical implementation of these techniques and developing robust statistical analysis skills rather than on the underlying statistical theory. After the course you should feel confident to be able to select and implement common statistical techniques using R and moreover know when, and when not, to apply these techniques. 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=4040721&course-title=Core%20Statistics%20using%20R).'' 2021-11-12 09:30:00 UTC 2021-11-26 17:30:00 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 individualsThis course is included as part of several DTP and MPhil programmesas well as other departmental training within the University of Cambridge (potentially under a different name) so participants who have attended statistics training elsewhere should check before applying. workshops_and_courses [] HDRUK
  • Analysis of bulk RNA-seq data (ONLINE LIVE TRAINING)

    15 - 29 November 2021

    Cambridge, United Kingdom

    Elixir node event
    Analysis of bulk RNA-seq data (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/analysis-of-bulk-rna-seq-data-online-live-training-372bd3c0-97bf-45a6-a35f-2a24a72033c7 PLEASE NOTE The Bioinformatics Team are presently teaching many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. The aim of this course is to familiarize the participants with the primary analysis of RNA-seq data. This course starts with a brief introduction to RNA-seq and discusses quality control issues. Next, we will present the alignment step, quantification of expression and differential expression analysis. For downstream analysis we will focus on tools available through the Bioconductor project for manipulating and analysing bulk RNA-seq. 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=4036206&course-title=Analysis%20of%20bulk%20RNA-seq%20data).'' 2021-11-15 09:30:00 UTC 2021-11-29 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data mining Transcriptomics Data visualisation Functional genomics 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
  • Managing your Research Data (Online)

    3 December 2021

    Cambridge, United Kingdom

    Elixir node event
    Managing your Research Data (Online) https://tess.elixir-europe.org/events/managing-your-research-data-online-76810eb7-4087-4495-8dab-9322044fe215 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 continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. How much data would you lose if your laptop was stolen? Have you ever emailed your colleague a file named 'final_final_versionEDITED'? Have you ever struggled to import your spreadsheets into R? Would you be able to write a Data Management Plan as part of a grant proposal? As a researcher, you will encounter research data in many forms, ranging from measurements, numbers and images to documents and publications. Whether you create, receive or collect data, you will certainly need to organise it at some stage of your project. This workshop will provide an overview of some basic principles on how we can work with data more effectively. We will discuss the best practices for research data management and organisation so that our research is auditable and reproducible by ourselves, and others, in the future. Course materials are available [here](https://datachampcam.github.io/avoid-data-disaster/) This event is part of a series of training courses organized in collaboration with the Bioinformatics Core Facility at [CRUK Cambridge Institute](http://www.cruk.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=4011883&course-title=Managing%20your%20Research%20Data).'' 2021-12-03 10:00:00 UTC 2021-12-03 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR 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

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