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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
  • What is Genetic Counselling?

    25 January - 19 April 2021

    What is Genetic Counselling? https://tess.elixir-europe.org/events/what-is-genetic-counselling-fe2fc46a-63e5-4681-b66f-575aac9b49b7 # 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. ### What do people say about this course? _"What a great course. Perfect introduction to genetic counseling. This has given me a very real insight into the work that is carried out prior to my role in a genetic testing laboratory. Also overwhelming to think of the hours that go into the counselling sessions, ensuring patients are prepared, informed and able to make their own decisions." - Previous Participant_ _"Thank you very much for such an informative, enjoyable and though-provoking course. I have learnt a lot during these six weeks and I definitely know more now than I did prior to starting! I am glad to say that this has increased my interest in Genetic counselling as a profession and am very likely going to pursue it as a career." - Previous Participant_ _"Thank you Anna and Jonathan for a very interesting course, I have enjoyed the role play as it allowed me to be in the GC and clients shoes, and discussing my thoughts/comments with my fellow learners, and learning about the difference in other countries that was shared. Kept me gripped learning something new." _- _Previous Participant_ _"It has been a great and interesting time in the last six weeks. Understanding the personal feelings/ views of patients (autonomy, empathy, patience, etc), professional ways of communication in GC, ethics of GC, with the professional know how of the Genetic Counsellors; the different contexts of Genetic Services in different countries,and also sharing the view of my co-learners, has been a great experience._ _These will greatly assist in the discharge of my duties to the the patients as I come across them whether at my duty post or elsewhere."_ - Previous Participant # 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 2021-01-25 09:00:00 UTC 2021-04-19 23:59:59 UTC Wellcome Genome Campus - Advanced Courses [] advancedcourses@wellcomegenomecampus.org [] [] workshops_and_courses [] geneticcounsellingHDRUK
  • Bioinformatics for Biologists: An Introduction to Linux, Bash Scripting, and R

    15 February - 8 March 2021

    Bioinformatics for Biologists: An Introduction to Linux, Bash Scripting, and R https://tess.elixir-europe.org/events/new-course-bioinformatics-for-biologists-an-introduction-to-linux-bash-scripting-and-r # Overview ### Duration: 2 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 this course? Bioinformatics is a rapidly growing academic field, and one that promises to change how we analyse and compare biological data. On this course, you’ll get familiar with Linux – the operating system often used to access and analyse biological data. You’ll come away able to navigate it using the command line, understanding how to write scripts and prepare data files for further analysis and visualisation. ### Who is this course for? This course will appeal to students, biologists, and research scientists with an interest in bioinformatics. Learners are expected to have some knowledge of or experience with life sciences, but no prior knowledge of computing or bioinformatics is expected. There are no formal prerequisites. # Programme ### Course start dates This course will be repeated twice a year. ### What topics will you cover? * What is Linux? Why Linux for biologists? * The Linux file system and navigating around it via the command line * Manipulation and searching of data files using the command line to access useful biological data * The basics of writing Bash scripts and its use for process automation * Guidelines and recommendations for best practice preparation of data files under Linux for exporting to other environments (use of R for further analysis and visualisation) * Exercises on biological data using different case scenarios ### What will you achieve? By the end of the course, you‘ll be able to... * identify main characteristics of Linux and its use in biology * describe the structure of a Linux file system * use Linux commands to navigate the file system * perform Linux commands to manipulate and interrogate biological data files * prepare biological data files under Linux for exporting into other environments such as R * write and execute simple shell scripts in order to automate processing of data # Educators ## Lead Educators ### 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. ### Fatma Guerfali Researcher at Institut Pasteur in Tunis and Trainer in Bioinformatics. Passionate about data analysis and visualization for pathogens related Genomics and Transcriptomics ### Victoria Offord As a Prinicipal Bioinformatician in Experimental Cancer Genetics at the Wellcome Sanger Institute, I develop and run pipelines for saturation mutagenesis, CRISPR screens, RNA-Seq and variant calling. ### Mark Sheppard I am the Assistant IT Manager for the Wellcome Genome Campus Advanced Courses and Scientific Conferences team. My interests include machine learning and coding. # 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 2021-02-15 09:00:00 UTC 2021-03-08 23:59:59 UTC Wellcome Genome Campus - Advanced Courses [] advancedcourses@wellcomegenomecampus.org [] [] workshops_and_courses [] entermostrelevantkeywordhereHDRUK
  • Transcriptome Analysis for Non-Model Organisms (ONLINE LIVE TRAINING)

    1 - 5 March 2021

    Cambridge, United Kingdom

    Elixir node event
    Transcriptome Analysis for Non-Model Organisms (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/transcriptome-analysis-for-non-model-organisms-online-live-training 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. RNA-Seq technology has been transformative in our ability to explore gene content and gene expression in all realms of biology, and de novo transcriptome assembly has enabled opportunities to expand transcriptome analysis to non-model organisms. This course provides an overview of modern applications of transcriptome sequencing and popular tools, and algorithms, for exploring transcript reconstruction and expression analysis in a genome-free manner. Attendees will perform quality assessment and upstream analysis of both Illumina and long reads single molecule sequencing data; the derived transcriptomes will be compared, annotated and used as reference for quantifying transcript expression, leveraging on Bioconductor tools for differential expression analysis. Additional methods will be explored for characterising the assembled transcriptome and revealing biological findings. 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=3803220&course-title=Transcriptome%20Analysis%20for%20Non-Model%20Organisms).'' 2021-03-01 09:30:00 UTC 2021-03-05 17:30:00 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
  • Genomic Scenarios in Primary Care

    8 - 29 March 2021

    Genomic Scenarios in Primary Care https://tess.elixir-europe.org/events/genomic-scenarios-in-primary-care # Overview ### Duration: 3 weeks, 3 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 this course? The public are increasingly bringing results from genomic tests obtained through commercial routes. Most patients will present within primary care, but they may approach any clinician involved in their care. It is crucial that healthcare professionals presented with results from genomic testing have a working knowledge of how to manage these patients. This unique course will give you the tools you need to understand the process of genomic testing within the primary care sector and the difference between direct to consumer testing. ### Who is this course for? This course is primarily for frontline primary care clinicians within the UK (GPs, Advanced Nurse Practitioners and Physician Associates) as well as medical students, trainees and educators interested in primary care worldwide. # Programme ### Course start dates This course will be repeated twice a year. ### What topics will you cover? * The types of genomic testing available * Considerations and limitations of commercial genomic testing * An overview of the NHS Genomics Medicine Service * Assessment and management of patients presenting with genomic test results * Ethical and communication issues pertaining to genomic testing By the end of the course, you‘ll be able to... * recognise how genomics issues may present in primary care * use patient and family history as a tool to assess genomic risk * communicate with patients about DTC testing and its limitations * identify clinically relevant information from different types of genetic and genomic tests * manage the patient pathway and institute appropriate clinical management of genetic and genomic concerns * use familial data in accordance with ethical and data governance principles # Educators ## Lead Educators ### Imran Rafi A GP with a strong interest in genetics. He is a Reader in Primary Care and Genomics at the Institute for Medical and Biomedical Education, St George's University of London ### Debbie Hipps A GP trainer in South London with an interest in genomics ### Catherine Millington-Sanders A GP and educationalist with a special interest in end of life care and communication skills. ### Will Evans A GP in Leeds and a researcher at the University of Nottingham. He has a long interest in rare and genetic diseases and the role of primary care. ### Jude Hayward A GP in Leeds and a GPwSI in Genetics within the Yorkshire Regional Genetics Service. She has a longstanding interest in Genetics Education and Service Development within Primary Care. # 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 2021-03-08 09:00:00 UTC 2021-03-29 23:59:59 UTC Wellcome Genome Campus - Advanced Courses [] advancedcourses@wellcomegenomecampus.org [] [] workshops_and_courses [] onlinecourseHDRUK
  • An Introduction to Machine Learning (ONLINE LIVE TRAINING)

    8 - 10 March 2021

    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-cb6fa31e-53e7-4e78-9ebb-ab470eb47192 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 subject 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=3732957&course-title=An%20Introduction%20to%20Machine%20Learning).'' 2021-03-08 09:30:00 UTC 2021-03-10 17:00:00 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
  • Introduction to Linear Modelling with R (Online)

    12 March 2021

    Cambridge, United Kingdom

    Elixir node event
    Introduction to Linear Modelling with R (Online) https://tess.elixir-europe.org/events/introduction-to-linear-modelling-with-r-online 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. The course will cover ANOVA, linear regression and some extensions. It will be a mixture of lectures and hands-on time using RStudio to analyse data. 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=3730565&course-title=Introduction%20to%20Linear%20Modelling%20With%20R).'' 2021-03-12 09:45:00 UTC 2021-03-12 17:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Extracting biological information from gene lists (ONLINE LIVE TRAINING)

    15 March 2021

    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-d0278754-5f41-4b1c-82e6-eadb23f9ca28 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=3748734&course-title=Extracting%20biological%20information%20from%20gene%20lists).'' 2021-03-15 09:30:00 UTC 2021-03-15 17:30:00 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
  • Managing your Research Data (Online)

    19 March 2021

    Cambridge, United Kingdom

    Elixir node event
    Managing your Research Data (Online) https://tess.elixir-europe.org/events/managing-your-research-data-online-5bc7a95c-ab27-40ca-b077-6cbed40277f1 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. 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=3730088&course-title=Managing%20your%20Research%20Data).'' 2021-03-19 10:00:00 UTC 2021-03-19 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
  • Analysis of bulk RNA-seq data (ONLINE LIVE TRAINING)

    22 - 24 March 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-ee05caa6-487f-4a18-b800-2dca60520065 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. 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=3748780&course-title=Analysis%20of%20bulk%20RNA-seq%20data).'' 2021-03-22 09:30:00 UTC 2021-03-24 17:30:00 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
  • Introduction to Command Line Linux (Online)

    25 March 2021

    Cambridge, United Kingdom

    Elixir node event
    Introduction to Command Line Linux (Online) https://tess.elixir-europe.org/events/introduction-to-command-line-linux-online 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 short (0.5 day) intensive course serves to introduce you to the command-line interface in Linux. It is based upon elements of the Software Carpentries Shell(novice) and Shell(extras) courses. It is recommended for those CI personnel planning on attending the CI High Performance Computing facilities (Cluster) course. This course is run by the [CRUK CI Bioinformatics and IT core](https://www.cruk.cam.ac.uk/core-facilities/bioinformatics-core/). 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=3800791&course-title=Introduction%20to%20Command%20Line%20Linux).'' 2021-03-25 13:00:00 UTC 2021-03-25 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 [] The course is recommended for all staff and students who use Linux in their research or plan on attending the CI High Performance Computing facilities (Cluster) course.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)

    26 March 2021

    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-40c3cb6f-2b31-47af-a93c-5841e69e7d95 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=3748804&course-title=Introduction%20to%20Scientific%20Figure%20Design).'' 2021-03-26 09:30:00 UTC 2021-03-26 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
  • An Introduction to Solving Biological Problems with Python (ONLINE LIVE TRAINING)

    29 - 30 March 2021

    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-5128e676-3e0b-4560-8588-82a32afadf29 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=3732841&course-title=An%20Introduction%20to%20Solving%20Biological%20Problems%20with%20Python).'' 2021-03-29 08:30:00 UTC 2021-03-30 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)

    8 - 9 April 2021

    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-9dcba601-4c55-44a0-88bc-7d06811329f3 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=3748813&course-title=Data%20Science%20in%20Python).'' 2021-04-08 08:30:00 UTC 2021-04-09 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
  • Core Statistics (ONLINE LIVE TRAINING)

    13 - 27 April 2021

    Cambridge, United Kingdom

    Elixir node event
    Core Statistics (ONLINE LIVE TRAINING) https://tess.elixir-europe.org/events/core-statistics-online-live-training-372cc372-3912-4b4b-841e-95abaa36090a PLEASE NOTE that this course will be taught live online, with tutors available to help you throughout if have any questions. All resources and lectures will be recorded and uploaded to the course VLE page so that you will be able to access that information even if technical or time zone restrictions means that you aren't able to join us for all of the live sessions. This [award winning](https://www.cambridge.org/core/cambridge-technology-enabled-learning-prize-2020) virtually delivered course is intended to provide a strong foundation in practical statistics and data analysis using the R or Python software environments. 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 or Python confidently for statistics and data analysis # Be able to analyse datasets using standard statistical techniques # Know which tests are and are not appropriate Both R and Python are free software environments that are suitable for statistical and data analysis. 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 or Python 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=3816286&course-title=Core%20Statistics).'' 2021-04-13 08:30:00 UTC 2021-04-27 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 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

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