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  • Bacterial Genomes: From DNA to Protein Function Using Bioinformatics

    12 October 2020 - 7 February 2021

    Bacterial Genomes: From DNA to Protein Function Using Bioinformatics # 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 twice a year. ### 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 2020-10-12 09:00:00 UTC 2021-02-07 23:59:59 UTC Wellcome Genome Campus - Advanced Courses [] [] [] workshops_and_courses [] bacterialgenomesinformaticsHDRUK
  • WORKSHOP: Online data analysis for biologists - November 2020

    12 November 2020

    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
  • Quality Assurance and Quality Control in Metabolomics

    30 November - 18 December 2020

    Elixir node event
    Quality Assurance and Quality Control in Metabolomics 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

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