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  • What is Genetic Counselling?

    27 January - 19 April 2020

    What is Genetic Counselling? https://tess.elixir-europe.org/events/what-is-genetic-counselling-de9049ee-4df5-4c8c-a099-9f91c2696d3b # Overview * **Duration:** 6 weeks live, 2 hours per week * **Free** * **Certificate of achievement** available on satisfactory completion * **Start Date:** The course is run ‘live’ for 6 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? Who are genetic counsellors? Who has genetic counselling and what does a genetic counsellor do? On this course, you will find the answers to these questions whilst learning about the role of genetic counselling in healthcare and the genomic era. You will discover why people seek genetic counselling and how it compares in different contexts and countries. You will explore the main skills and knowledge needed of a genetic counsellor, as well as their key responsibilities to patients. You will also discuss the ethical issues of genetic counselling, and its varied opportunities and challenges for the future. ### Who is the course for? This course is designed for healthcare professionals, clinicians, biomedical research scientists, and anyone curious about genetic counselling. Although not required, a basic knowledge of genetics, genetic testing technologies, and inheritance patterns would help support your learning on this course. # Programme ### What topics will you cover? * Why people would see a genetic counsellor * Some of a genetic counsellor’s key tasks * A genetic counsellor’s key skills and knowledge: counselling skills, medical and scientific knowledge * Ethical issues in genetic counselling * What the future might hold for genetic counsellors ### What will you achieve? By the end of the course, you'll be able to... * Identify why people have genetic counselling and the different contexts in which people receive genetic counselling * Describe the different skills and knowledges needed by genetic counsellors * Compare genetic counselling in different contexts and different countries * Reflect on some ethical issues that arise in genetic counselling * Discuss the role of genetic counselling in healthcare as we enter the ‘genomic era'. ### What software or tools do you need? No specific software, hardware or other resources are required to complete the course. # Educators ## Lead Educators ### Anna Middleton I am the Chair of the Association of Genetic Nurses and Counsellors in the UK and ROI (2018/19) and Head of Society and Ethics Research at the Wellcome Genome Campus, Connecting Science, Cambridge, UK ### Jonathan Roberts I am a pre-registration genetic counsellor at Addenbrooke’s Hospital, Cambridge. I am also a Staff Scientists at the Wellcome Genome Campus. I conduct my research within the Society and Ethics Research group. # 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 2020-01-27 09:00:00 UTC 2020-04-19 23:59:59 UTC Wellcome Genome Campus - Advanced Courses [] advancedcourses@wellcomegenomecampus.org [] [] workshops_and_courses [] geneticcounsellingHDRUK
  • Bacterial Genomes: Disease Outbreaks and Antimicrobial Resistance

    9 March - 10 May 2020

    Bacterial Genomes: Disease Outbreaks and Antimicrobial Resistance https://tess.elixir-europe.org/events/bacterial-genomes-disease-outbreaks-and-antimicrobial-resistance-562964f7-002f-4d58-8d54-da81b6d29cc8 # 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 2020-03-09 09:00:00 UTC 2020-05-10 23:59:59 UTC Wellcome Genome Campus - Advanced Courses [] advancedcourses@wellcomegenomecampus.org [] [] workshops_and_courses [] bacterialgenomesAMRHDRUK
  • Data Science in Python (ONLINE LIVE TRAINING)

    16 - 17 April 2020

    Cambridge, United Kingdom

    Elixir node event
    Data Science in Python (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/data-science-in-python-6ffd964b-42a0-40ea-9b1e-057efa56aea6 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 be teaching the course live online, with tutors available to help you work through the course material on a personal copy of the course environment. We will be aiming 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=3166613&course-title=Data%20Science%20in%20Python).'' 2020-04-16 08:30:00 UTC 2020-04-17 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)

    20 - 21 April 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-787ea3ae-ab3d-43f5-8957-cd2c4577cf5a 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, 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 will be aiming 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=3338924&course-title=Introduction%20to%20R%20for%20Biologists).'' 2020-04-20 08:30:00 UTC 2020-04-21 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
  • Bacterial Genomes: From DNA to Protein Function Using Bioinformatics

    20 April - 16 August 2020

    Bacterial Genomes: From DNA to Protein Function Using Bioinformatics https://tess.elixir-europe.org/events/bacterial-genomes-from-dna-to-protein-function-using-bioinformatics-92c9e794-2186-4766-8435-3273e0756322 # Overview * **Duration**: 2 weeks, 5 hours per week * Free * Certificate of Achievement available on satisfactory completion * **CPD Approval**: Royal College of Pathologists (10 credits) * **Start Date**: The course is run ‘live’ for 2 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? Join us in our quest to discover what makes microbes dangerous. Use bioinformatics to probe genomes, to explore and represent DNA and protein sequences. Then, use databases to find protein sequences’ conserved domains and investigate their functions. ### Who is the course for? The course will be of interest to undergraduates, post-graduates, researchers, bioinformaticians, biomedical researchers, microbiologists, healthcare professionals and all those who are interested in learning about the underlying mechanisms of bacterial disease, DNA sequences and protein data, or how to use online analytical tools to probe genomes. The topics covered in this course are applicable to the genomes of all organisms. It is not essential to have previous knowledge or experience in bioinformatics. Scientific terminology is explained. The opportunity to use online computational tools in the context of bacterial genomes will also be of interest to teachers and their 16-18-year-old science and computing students. ### What do people say about this course? "_Clear introduction of the – often viewed as complex – field of bioinformatics_." Mqondisi Tshabalala, PhD student, Institute for Cellular and Molecular Medicine, University of Pretoria, South Africa "_Highlights of the course were the investigations with the databases - these reinforced the learning._" Dr. Alan McLintic, Anaesthesiologist, Faculty of Medicine and Health Scientists, University of Auckland, New Zealand # Programme and start dates ### Course start dates This course will be repeated: Next start dates: * September 2019 (date TBC) ### What topics will you cover? * Bioinformatics tools, DNA and protein sequences * Retrieving DNA and protein sequences from repositories * Databases for protein annotation * Inferring function from sequence ### What will you achieve? By the end of the course, you'll be able to... * assess DNA representations and protein sequences * perform searches in primary databases (repositories) and retrieve gene/protein data * interpret different repository submission formats * investigate biological databases for research * identify the putative function of proteins based on their conserved domains # Educators ## **Lead Educators** ### Dr Anna Protasio I am a researcher in parasitology and life sciences. I am passionate about bioinformatics and how we can use these tools to answer questions in biology. ### Martin Aslett I am the IT Manager for the Wellcome Genome Campus Advanced Courses and Scientific Conferences team. My interests lie in bioinformatics and its application to microbial genomics. ### Dr Christine Boinett I am a researcher in bacterial genetics and my interest is in understanding the development of resistance in bacterial pathogens using next generation sequencing techniques. ## **Educator** ### Matthew Dorman I am a graduate student at the Wellcome Sanger Institute, where I research the virulence and the molecular genetics of bacterial pathogens as part of the Infection Genomics programme. ## **Programme Lead Educator** ### Professor Nicholas Thomson Group Leader at the Wellcome Sanger Institute, interested in bacterial evolution and the spread of infectious disease; provides scientific oversight for this course. The course also features interviews with two distinguished experts: ### Dr Rob Finn Team Leader of EMBL-EBI Sequence Families Team ### Dr Claire Chewapreecha Sir Henry Wellcome Fellow and Lecturer, University of Cambridge, UK, and King Mongkut University of Technology, Thailand. # 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 # CPD Approval 2020-04-20 09:00:00 UTC 2020-08-16 23:59:59 UTC Wellcome Genome Campus - Advanced Courses [] advancedcourses@wellcomegenomecampus.org [] [] workshops_and_courses [] bacterialgenomesinformaticsHDRUK
  • Extracting biological information from gene lists (ONLINE LIVE TRAINING TBC)

    22 April 2020

    Cambridge, United Kingdom

    Elixir node event
    Extracting biological information from gene lists (ONLINE LIVE TRAINING TBC) https://tess.elixir-europe.org/events/extracting-biological-information-from-gene-lists-06e84be3-c3c2-40da-b84a-1465e1a5571a 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 are investigating a workable solution to offer some of the courses on a remote basis and will be in contact with updates as soon as possible. Where courses cannot be offered online, we will advise new classroom dates as soon as we are able. 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). The training room is located on the first floor and there is currently no wheelchair or level access available to this level. 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=3097799&course-title=Extracting%20biological%20information%20from%20gene%20lists).'' 2020-04-22 08:30:00 UTC 2020-04-22 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
  • Introduction to metagenomics

    23 - 24 April 2020

    Cambridge, United Kingdom

    Elixir node event
    Introduction to metagenomics https://tess.elixir-europe.org/events/introduction-to-metagenomics 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 are investigating a workable solution to offer some of the courses on a remote basis and will be in contact with updates as soon as possible. This two days course will focus on the theory and applications of metagenomics, for the analysis of complex microbiomes (microbial communities). The course will include theoretical (~40%) and practical (~60%) training. We will start with the fastest, simplest and cheapest amplicon based methods and will go up to the Hi-C metagenomics methods that give highly detailed results on the complex microbial communities. The practical component will cover bioinformatics analysis of metagenomics. The training room is located on the first floor and there is currently no wheelchair or level access available to this level. 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=3331686&course-title=Introduction%20to%20metagenomics).'' 2020-04-23 08:30:00 UTC 2020-04-24 15:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data mining Data visualisation Metagenomics Bioinformatics University of Cambridge Bioinformatics Training [] The course is aimed at biologists interested in microbiologyprokaryotic genomicsanalysis of complex microbiomes and antimicrobial resistance.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Analysis of bulk RNA-seq data (Pencilled in for ONLINE LIVE TRAINING)

    27 - 29 April 2020

    Cambridge, United Kingdom

    Elixir node event
    Analysis of bulk RNA-seq data (Pencilled in for ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/analysis-of-bulk-rna-seq-data-66d0a6e6-6641-406b-9df9-53937e6a1c5c 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 are investigating a workable solution to offer some of the courses on a remote basis and will be in contact with updates as soon as possible. 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=3246123&course-title=Analysis%20of%20bulk%20RNA-seq%20data).'' 2020-04-27 08:30:00 UTC 2020-04-29 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR RNA-Seq 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
  • Reproducible Research with R

    18 May 2020

    Cambridge, United Kingdom

    Elixir node event
    Reproducible Research with R https://tess.elixir-europe.org/events/reproducible-research-with-r-305a5426-1147-498c-b766-f1cc965a6732 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 are investigating a workable solution to offer some of the courses on a remote basis and will be in contact with updates as soon as possible. This course introduces concepts about reproducibility that can be used when you are programming in R. We will explore how to create notebooks - a way to integrate your R analyses into reports using Rmarkdown. The course also introduces the concept of version control. We will learn how to create a repository on GitHub and how to work together on the same project collaboratively without creating conflicting versions of files. The training room is located on the first floor and there is currently no wheelchair or level access available to this level. 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=3356804&course-title=Reproducible%20Research%20with%20R).'' 2020-05-18 08:30:00 UTC 2020-05-18 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
  • Bacterial Genomes: Comparative Genomics using Artemis Comparison Tool (ACT)

    8 June - 9 August 2020

    Bacterial Genomes: Comparative Genomics using Artemis Comparison Tool (ACT) https://tess.elixir-europe.org/events/bacterial-genomes-comparative-genomics-using-artemis-comparison-tool-act-34117159-0fd6-4263-8a2c-9882b99f2572 # Overview * **Duration**: 3 weeks, 5 hours per week * Free * Certificate of achievement available on satisfactory completion * **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? Disease outbreaks are still a big problem in our modern world. Comparison between two or more bacterial genomes can help improve understanding of the causes of pathogenicity and outbreaks of disease caused by bacteria. On this course you will learn how to use the free Artemis Comparison Tool (ACT). Developed at the Wellcome Sanger Institute, ACT will help you to visualise the comparison of genomes and analyse the results. ### Who is the course for? This course would benefit those interested in learning how to use tools to investigate and research bacterial genomes, and acquire bioinformatics skills to evaluate the role of microbial genes in disease. Learners will gain experience in comparative genomics, using the Artemis Comparison Tool to probe, visualise and compare genomes, and analyse the results. This course will be of interest to anyone interested in microbiology, including undergraduates, post-graduates, biomedical researchers, microbiologists, bioinformaticians, teachers, and healthcare professionals. The opportunity to gain experience in using the Artemis Comparison Tool, a computational tool designed for comparative genomics, will also be of interest to all those who have studied our pre-requisite courses: those with an interest in genomics and disease outbreaks, teachers and their 16-18-year-old science and computing students. Ideally, you will have completed [Bacterial Genomes: From DNA to Protein Function Using Bioinformatics][1] and [Bacterial Genomes: Accessing and Analysing Microbial Genome Data][2] before joining this course. [1]: /our-events/bacterial-genomes-dna-protein-function-bioinformatics-online-sep19/ [2]: /our-events/bacterial-genomes-accessing-analysing-microbial-genome-data-feb19/ # Programme ### What topics will you cover? Week 1 * Introduction to comparative genomics * Introduction to ACT Week 2 * Analyse available data * Generate your own comparison files * Make your own comparisons in ACT Week 3 * Identify pseudogenes in Mycobacterium leprae using ACT * Peer review project: Comparative genomics on two clinically relevant plasmids from Shigella ### What will you achieve? By the end of the course, you'll be able to... * Explain the advantages of comparative genomics * Explore basic tools of ACT * Interpret results from already generated comparison files * Produce new comparisons and analyse results * Develop hypothesis based on results observation ### What software or tools do you need? This course will give you an opportunity to learn about and use Artemis Comparison Tool (ACT), a free tool used to display pairwise comparisons between two DNA sequences. To run this software effectively, you will require a computer (Windows, Mac or Linux) with 2GB RAM. The current version of ACT requires version 11 of Java to run successfully. Java 11 can be downloaded from [this link][1]. Older versions of ACT require Java 8 to run successfully. Java 8 can be downloaded from [this link][2]. [1]: https://www.oracle.com/technetwork/java/javase/downloads/jdk11-downloads-5066655.html [2]: https://www.java.com/en/download/ # Educators ## Lead Educators ### Dr Anna Protasio I am a researcher in parasitology and life sciences. I am passionate about bioinformatics and how we can use these tools to answer questions in biology. ### Dr Christine Boinett I am a researcher in bacterial genetics and my interest is in understanding the development of resistance in bacterial pathogens using next generation sequencing techniques. ### Dr. Ulrike Böhme I am a researcher in parasitology at the Wellcome Sanger Institute where I work as biocurator for Plasmodium genomes. ### Dr. Pablo Tsukayama I am a professor of microbiology at Universidad Peruana Cayetano Heredia and a visiting research scholar at the Wellcome Sanger Institute. I study how pathogen populations evolve and spread in Peru. ### Martin Aslett I am the IT Manager for the Wellcome Genome Campus Advanced Courses and Scientific Conferences team. My interests lie in bioinformatics and its application to microbial genomics. ### Matthew Dorman I am a graduate student at the Wellcome Sanger Institute, where I research the virulence and the molecular genetics of bacterial pathogens as part of the Infection Genomics programme. ## Programme Lead Educator ### Professor Nicholas Thomson 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. # 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 2020-06-08 09:00:00 UTC 2020-08-09 23:59:59 UTC Wellcome Genome Campus - Advanced Courses [] advancedcourses@wellcomegenomecampus.org [] [] workshops_and_courses [] comparativegenomicsHDRUK
  • An Introduction to Machine Learning

    24 - 26 June 2020

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Machine Learning https://tess.elixir-europe.org/events/an-introduction-to-machine-learning-18be52a3-28d7-4f66-a339-edd4cc7f6dcb 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. The training room is located on the first floor and there is currently no wheelchair or level access available to this level. 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=3401732&course-title=An%20Introduction%20to%20Machine%20Learning).'' 2020-06-24 08:30:00 UTC 2020-06-26 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 Bioinformatics 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
  • An Introduction to MATLAB for biologists

    29 - 30 June 2020

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to MATLAB for biologists https://tess.elixir-europe.org/events/an-introduction-to-matlab-for-biologists-56fe486a-5d6b-46d2-ab62-33a6bf501fb4 This course aims to give you an introduction to the basics of Matlab. During the two day course we will use a practical based approach to give you the confidence to start using Matlab in your own work. In particular we will show you how to write your own scripts and functions and how to use pre-written functions. We will also explore the many ways in which help is available to Matlab users. In addition we will cover basic computer programming in Matlab to enable you to write more efficient scripts. The training room is located on the first floor and there is currently no wheelchair or level access available to this level. 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=3398010&course-title=An%20Introduction%20to%20MATLAB).'' 2020-06-29 08:30:00 UTC 2020-06-30 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
  • Using the Ensembl Genome Browser

    1 September 2020

    Cambridge, United Kingdom

    Elixir node event
    Using the Ensembl Genome Browser https://tess.elixir-europe.org/events/using-the-ensembl-genome-browser-467135ab-7028-4d4f-8a24-bbffa5548b3b The [Ensembl Project](http://www.ensembl.org) provides a comprehensive and integrated source of annotation of, mainly vertebrate, genome sequences. This workshop offers a comprehensive practical introduction to the use of the Ensembl genome browser as well as essential background information. This course will focus on the vertebrate genomes in Ensembl, however much of what will be covered is also applicable to the non-vertebrates (plants, bacteria, fungi, metazoa and protists) in Ensembl Genomes. The training room is located on the first floor and there is currently no wheelchair or level access available to this level. 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=3351117&course-title=Using%20the%20Ensembl%20Genome%20Browser).'' 2020-09-01 08:30:00 UTC 2020-09-01 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Gene transcripts Gene structure 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
  • Ensembl REST API workshop

    2 September 2020

    Cambridge, United Kingdom

    Elixir node event
    Ensembl REST API workshop https://tess.elixir-europe.org/events/ensembl-rest-api-workshop-c3f269e2-c30f-4a2d-b719-a822af0359c5 The [Ensembl project](http://www.ensembl.org/) provides a comprehensive and integrated source of annotation of mainly vertebrate genome sequences. This workshop is aimed at researchers and developers interested in exploring Ensembl beyond the website. The workshop covers how to use the Ensembl [REST APIs](http://rest.ensembl.org/), including understanding the major endpoints and how to write scripts to call them. The training room is located on the first floor and there is currently no wheelchair or level access available to this level. 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=3351102&course-title=Ensembl%20REST%20API%20Workshop).'' 2020-09-02 08:30:00 UTC 2020-09-02 14:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Bioinformatics University of Cambridge Bioinformatics Training [] Bioinformaticians and wet-lab biologists who can programGraduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Data Science School: Machine learning applications for life sciences

    21 - 24 September 2020

    Cambridge, United Kingdom

    Elixir node event
    Data Science School: Machine learning applications for life sciences https://tess.elixir-europe.org/events/data-science-school-machine-learning-applications-for-life-sciences 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/). The training room is located on the first floor and there is currently no wheelchair or level access available to this level. 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).'' 2020-09-21 09:00:00 UTC 2020-09-24 14:00:00 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

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