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15 events found

Country: United Kingdom 

  • Analysis of single cell RNA-seq data (ONLINE LIVE TRAINING)

    17 June - 1 July 2022

    Cambridge, United Kingdom

    Elixir node event
    Analysis of single cell RNA-seq data (ONLINE LIVE TRAINING) http://tess.elixir-uk.org/events/analysis-of-single-cell-rna-seq-data-online-live-training-b8ef1f2a-776d-42f4-a490-f018700ae7ba Recent technological advances have made it possible to obtain genome-wide transcriptome data from single cells using high-throughput sequencing (scRNA-seq). Even though scRNA-seq makes it possible to address problems that are intractable with bulk RNA-seq data, analysing scRNA-seq is also more challenging. In this course we will be surveying the existing problems as well as the available computational and statistical frameworks available for the analysis of scRNA-seq. Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=4306409&&course-title=Analysis%20of%20single%20cell%20RNA-seq%20data).'' 2022-06-17 08:30:00 UTC 2022-07-01 16:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Transcriptomics Functional genomics Data visualisation Data mining Bioinformatics University of Cambridge Bioinformatics Training [] Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Core Statistics using R (ONLINE LIVE TRAINING)

    29 June - 14 July 2022

    Cambridge, United Kingdom

    Elixir node event
    Core Statistics using R (ONLINE LIVE TRAINING) http://tess.elixir-uk.org/events/core-statistics-using-r-online-live-training-1bdf4c7a-2283-4160-b3e3-4a8e7385502d This [award winning](https://www.cctl.cam.ac.uk/teaching-prizes/tel-prize/2020) virtually delivered course is intended to provide a strong foundation in practical statistics and data analysis using the R software environment. The underlying philosophy of the course is to treat statistics as a practical skill rather than as a theoretical subject and as such the course focuses on methods for addressing real-life issues in the biological sciences. There are three core goals for this course: # Use R confidently for statistics and data analysis # Be able to analyse datasets using standard statistical techniques # Know which tests are and are not appropriate R is an open source programming language so all of the software we will use in the course is free. In this course, we explore classical statistical analysis techniques starting with simple hypothesis testing and building up to linear models and power analyses. The focus of the course is on practical implementation of these techniques and developing robust statistical analysis skills rather than on the underlying statistical theory. After the course you should feel confident to be able to select and implement common statistical techniques using R and moreover know when, and when not, to apply these techniques. Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=4180988&course-title=Core%20Statistics%20using%20R).'' 2022-06-29 08:30:00 UTC 2022-07-14 12:00:00 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
  • Building Workflows in Digital Health

    29 June 2022

    Manchester, United Kingdom

    Building Workflows in Digital Health http://tess.elixir-uk.org/events/building-workflows-in-digital-health Orchestration Workflows are widely used in computational data analysis, enabling innovation and decision-making. Often the analysis components are numerous, and written by third parties, without an eye on interoperability. In addition, many competing workflow systems exist, potentially limiting portability of workflows written for any one specific workflow system. This hinders the transfer of workflows between different systems and projects, limiting their re-usability. The Common Workflow Language (CWL) project (https://www.commonwl.org/) was established in order to produce free and open standards for describing command-line tool-based workflows. The CWL language is declarative and provides a focused set of common abstractions enabling the expression of computational workflows constructed from diverse software tools. Explicit declaration of requirements for runtime environments and software containers enables portability and reuse. Workflows written according to the CWL standards are a reusable description of that analysis, runnable on a diverse set of computing environments. 2022-06-29 10:00:00 UTC 2022-06-29 17:00:00 UTC N8CIR University Place, University of Manchester, Manchester, United Kingdom University Place, University of Manchester Manchester United Kingdom M13 9PL Bioinformatics Workflows Data architecture, analysis and design University of Manchester [] [] workshops_and_courses registration_of_interest workflowsdata-analysiscomputational methods
  • An Introduction to Machine Learning (ONLINE LIVE TRAINING)

    4 - 12 July 2022

    Cambridge, United Kingdom

    Elixir node event
    An Introduction to Machine Learning (ONLINE LIVE TRAINING) http://tess.elixir-uk.org/events/an-introduction-to-machine-learning-online-live-training-f0d82528-636b-4d41-856d-71a7ec0f8672 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 note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=4341268&course-title=An%20Introduction%20to%20Machine%20Learning).'' 2022-07-04 08:30:00 UTC 2022-07-12 16:00:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Machine learning Data mining University of Cambridge Bioinformatics Training [] This is aimed at life scientists with little or no experience in machine learning and that are looking at implementing these approaches in their research.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Systems biology: from large datasets to biological insight

    4 - 8 July 2022

    United Kingdom

    Elixir node event
    Systems biology: from large datasets to biological insight http://tess.elixir-uk.org/events/systems-biology-from-large-datasets-to-biological-insight-d2a1656c-29ef-412d-9ddb-233bf139d811 This course covers the use of computational tools to extract biological insight from omics datasets. The content will explore a range of approaches - ranging from network inference and data integration to machine learning and logic modelling - that can be used to extract biological insights from varied data types. Together these techniques will provide participants with a useful toolkit for designing new strategies to extract relevant information and understanding from large-scale biological data. The motivation for running this course is a result of advances in computer science and high-performance computing that have led to groundbreaking developments in systems biology model inference. With the comparable increase of publicly-available, large-scale biological data, the challenge now lies in interpreting them in a biologically valuable manner. Likewise, machine learning approaches are making a significant impact in our analysis of large omics datasets and the extraction of useful biological knowledge. In-person course We plan to deliver this course in an in-person manner onsite at our training suite at EMBL-EBI, Hinxton.  Please be aware that we are continually evaluating the ongoing pandemic situation and, as such, may need to change the format of courses at short notice. Your safety is paramount to us; you can read our COVID guidance policy for more information. All information is correct at time of publishing. 2022-07-04 09:00:00 UTC 2022-07-08 00:00:00 UTC European Bioinformatics Institute Hinxton, United Kingdom European Bioinformatics Institute Hinxton Cambridge United Kingdom CB10 1SD [] [] This course is aimed at advanced PhD students, post-doctoral researchers, and non-academic scientists who are currently working with large-scale omics datasets with the aim of discerning biological function and processes. Ideal applicants should already have some experience (ideally 1-2 years) working with systems biology or related large-scale (multi-)omics data analyses. Applicants are expected to have a working knowledge of the Linux operating system and the ability to use the command line. Experience of using a programming language (i.e. Python) is highly desirable, and while the course will make use of simple coding or streamlined approaches such as Python notebooks, higher levels of competency will allow participants to focus on the scientific methodologies rather than the practical aspects of coding and how they can be applied in their own research. We recommend these free tutorials: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Introduction and exercises for Linux: https://training.linuxfoundation.org/free-linux-training Python tutorial: https://www.w3schools.com/python/ R tutorial: https://www.datacamp.com/courses/free-introduction-to-r Regardless of your current knowledge we encourage successful participants to use these to prepare for attending the course and future work in this area. Selected participants will also be sent materials prior to the course. These might include pre-recorded talks and required reading that will be essential to fully understand the course. 30 [] [] []
  • Introduction to working with UNIX and bash (ONLINE LIVE TRAINING)

    6 - 7 July 2022

    Cambridge, United Kingdom

    Elixir node event
    Introduction to working with UNIX and bash (ONLINE LIVE TRAINING) http://tess.elixir-uk.org/events/introduction-to-working-with-unix-and-bash-online-live-training-b013c4ea-fc73-42d1-9ac5-b11435801e1b PLEASE NOTE The Bioinformatics Team are presently teaching many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. Using the Linux operating system and the bash command line interface, we will demonstrate the basic structure of the UNIX operating system and how we can interact with it using a basic set of commands. Applying this, we will learn how to navigate the filesystem, manipulate text-based data and structure simple pipelines out of these commands. Building on the techniques learnt so far, we will then construct bash scripts combining the commands and structures already learnt into more complex, reusable tools. We will look at how we can apply these scripts to common problems faced in UNIX environments such as: communicating with remote servers; managing custom software installations and integrating these tools into our simple pipelines. This course is targeted at participants with no prior experience working with UNIX-like systems (OSX, Linux) or command line interfaces. Please note that if you are not eligible for a University of Cambridge Raven account you will need to Book or register Interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=4316938&course-title=Introduction%20to%20working%20with%20Unix%20and%20bash).'' 2022-07-06 13:00:00 UTC 2022-07-07 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
  • Bioinformatics for T-Cell immunology

    11 - 15 July 2022

    United Kingdom

    Elixir node event
    Bioinformatics for T-Cell immunology http://tess.elixir-uk.org/events/bioinformatics-for-t-cell-immunology This course will introduce and explore a number of key bioinformatics tools and resources that can be applied to T-cell immunological research. Targeted at life scientists with a wet-lab focus, it will provide participants with an overview of best-practice methods in applying bioinformatics approaches and enable them to become confident users of their own and public domain data. The resources introduced during the course will cover a variety of data types, from genomic data to computational models, and biological pathways. Participants will gain experience of the analysis pipelines for RNA-Seq and flow cytometry experiments as well as data integration of -omics data and basics concepts of machine learning approaches.This course has been developed in collaboration with the ENLIGHT-TEN+ project, a consortium focused on developing early-stage research expertise in T-cell immunology and big data analysis. In-person course We plan to deliver this course in an in-person manner onsite at our training suite at EMBL-EBI, Hinxton.  Please be aware that we are continually evaluating the ongoing pandemic situation and, as such, may need to change the format of courses at short notice. Your safety is paramount to us; you can read our COVID guidance policy for more information. All information is correct at time of publishing. 2022-07-11 09:00:00 UTC 2022-07-15 00:00:00 UTC European Bioinformatics Institute Hinxton, United Kingdom European Bioinformatics Institute Hinxton Cambridge United Kingdom CB10 1SD [] [] The course is aimed at wet-lab scientists working in the field of immunology who wish to learn more about available data and tools that can help them in their research. 15 places are reserved for early-stage researchers from the ENLIGHT-TEN+ project.   30 [] [] []
  • Omics analyses: Pathways, Networks and Biomarkers

    12 - 14 July 2022

    Liverpool, United Kingdom

    Omics analyses: Pathways, Networks and Biomarkers http://tess.elixir-uk.org/events/omics-analyses-pathways-networks-and-biomarkers A CBF three-day face-to-face intense course for experimental biologists and clinicians Demystify computational biology and come to learn: -Functional & pathway enrichment -In-silico biomarker discovery using multivariate methods and machine learning -Identification of transcriptional hubs & master regulators via network analysis -Best experimental design practices -Dedicated time to talk about your data and experiments Theory and practice sessions. 1-1 support. Requirements All materials have been built using relevant life sciences/clinical examples. The course has been designed for delegates with some R experience (basics). A refresher of R from beginner level is included and all relevant code will be provided such as delegates will only have to run specific scripts. Administrative details A significantly reduced access fee of £225 is available to all academic delegates. Other delegates will be quoted upon request. 2022-07-12 09:00:00 UTC 2022-07-14 17:00:00 UTC Computational Biology Facility TBC, Liverpool, United Kingdom TBC Liverpool Merseyside United Kingdom L69 7ZX Experimental design and studies Machine learning Data visualisation Bioinformatics University of Liverpool CBF@liverpool.ac.uk Liverpool Shared Research FacilitiesComputational Biology Facility Experimental Researchers 20 workshops_and_courses first_come_first_served Systems biology, Pathway analysis, Network analysis, Microarray data analysis, Nanomaterialsmachine learningExperimental designProteomicsMetabolomicstranscriptomics
  • High Performance Computing: An Introduction (ONLINE LIVE TRAINING)

    13 - 14 July 2022

    Cambridge, United Kingdom

    Elixir node event
    High Performance Computing: An Introduction (ONLINE LIVE TRAINING) http://tess.elixir-uk.org/events/high-performance-computing-an-introduction-online-live-training-2e94ddaf-6071-4664-9d5d-619b49b20888 PLEASE NOTE The Bioinformatics Team are presently teaching many courses live online, with tutors available to help you work through the course material on a personal copy of the course environment. We continue to monitor advice from the UK government and the University of Cambridge on resuming in-person teaching back in the training room. Have you heard about High Performance Computing, but are not sure what it is or whether it is relevant for your work? Would you like to use a HPC, but are not sure where to start? Are you using your personal computer to run computationally demanding tasks, which take long and slow down your work? Do you need to use software that runs on Linux, but don't have access to a Linux computer? If any of these questions apply to you, then this course might be for you! Knowing how to work on a High Performance Computing system is an essential skill for applications such as bioinformatics, big-data analysis, image processing, machine learning, parallelising tasks, and other high-throughput applications. In this course we will cover the basics of High Performance Computing, what it is and how you can use it in practice. This is a hands-on workshop, which should be accessible to researchers from a range of backgrounds and offering several opportunities to practice the skills we learn along the way. As an optional session for those interested, we will also introduce the (free) HPC facilities available at Cambridge University (the course is not otherwise Cambridge-specific). Please note that if you are not eligible for a University of Cambridge Raven account you will need to book or register your interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=4316957&course-title=High%20Performance%20Computing:%20An%20Introduction).'' 2022-07-13 13:00:00 UTC 2022-07-14 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 [] This course is aimed at students and researchers of any background.We assume no prior knowledge of what a HPC is or how to use it.It may be particularly useful for those who have attended other Facility Courses and now need to process their data on a Linux server. It will also benefit those who find themselves using their personal computers to run computationally demanding analysis/simulations and would like to learn how to adapt these to run on a HPC.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses [] HDRUK
  • Proteomics bioinformatics

    17 - 22 July 2022

    United Kingdom

    Elixir node event
    Proteomics bioinformatics http://tess.elixir-uk.org/events/proteomics-bioinformatics-e45e1bf8-c758-491b-817d-e236414eb179 This course provides hands-on training in the basics of mass spectrometry (MS) and proteomics bioinformatics, search engines and post-processing software, quantitative approaches, MS data repositories, the use of public databases for protein analysis, annotation of subsequent protein lists, and incorporation of information from molecular interaction and pathway databases. This course is organised in association with the Vlaams Instituut voor Biotechnologie (VIB). In-person course We plan to deliver this course in an in-person manner onsite at our training suite at EMBL-EBI, Hinxton.  Please be aware that we are continually evaluating the ongoing pandemic situation and, as such, may need to change the format of courses at short notice. Your safety is paramount to us; you can read our COVID guidance policy for more information. All information is correct at time of publishing. 2022-07-17 09:00:00 UTC 2022-07-22 00:00:00 UTC European Bioinformatics Institute Hinxton, United Kingdom European Bioinformatics Institute Hinxton Cambridge United Kingdom CB10 1SD [] [] The course is aimed at research scientists with a minimum of a degree in a biological discipline, including laboratory and clinical staff, as well as specialists in related fields. The practical elements of the course will take raw data from a proteomics experiment and analyse it. Participants will be able to go from MS spectra to identifying and quantifying peptides, and finally to obtaining lists of protein identifiers that can be analysed further using a wide range of resources. The final aim is to provide attendees with the practical bioinformatics knowledge they need to go back to the lab and process their own data when collected. 30 [] [] []
  • Mathematics of life: modelling molecular mechanisms

    12 - 16 September 2022

    United Kingdom

    Elixir node event
    Mathematics of life: modelling molecular mechanisms http://tess.elixir-uk.org/events/mathematics-of-life-modelling-molecular-mechanisms-1b57c504-4751-4313-a48d-3ac2da24ab02 This course will provide participants with an introduction and hands-on training on modelling approaches, tools and resources used in systems biology as well as touch on network analysis. Computer models are increasingly used to understand the essential processes of biology. Researchers in academic institutions as well as the pharmaceutical industry use mathematical models to generate hypotheses on how complex biomolecular systems work. Modelling of biochemical pathways deregulated in disease conditions can offer mechanistic insights into the pathology, help to elucidate mechanisms behind drug action, and predict the dose required for treatment thus facilitating fundamental research and drug discovery. This course will provide a helpful brief introduction to key modelling concepts and hands on training to use popular tools and resources used in this scientific field. In-person course We plan to deliver this course in an in-person manner onsite at our training suite at EMBL-EBI, Hinxton.  Please be aware that we are continually evaluating the ongoing pandemic situation and, as such, may need to change the format of courses at short notice. Your safety is paramount to us; you can read our COVID guidance policy for more information. All information is correct at time of publishing. 2022-09-12 09:00:00 UTC 2022-09-16 00:00:00 UTC European Bioinformatics Institute Hinxton, United Kingdom European Bioinformatics Institute Hinxton Cambridge United Kingdom CB10 1SD [] [] This course is aimed at experimental biologists, bioinformaticians and mathematicians who have just started in systems biology, are familiar with the basic terminology in this field and who are now keen on gaining a better knowledge of systems biology modelling approaches to understand biological and biomedical problems. An experience of using a programming language (e.g Python, R, Matlab) would be a benefit but is not mandatory. An undergraduate knowledge of molecular and cellular biology or some background in mathematics is highly beneficial. 30 [] [] []
  • Bioinformatics and functional genomics in zebrafish

    26 - 30 September 2022

    United Kingdom

    Elixir node event
    Bioinformatics and functional genomics in zebrafish http://tess.elixir-uk.org/events/bioinformatics-and-functional-genomics-in-zebrafish Zebrafish are widely used to study development, toxicity and disease, and functional genomics is used throughout the field to identify new pathways and mechanisms and for comparison to other model systems and humans. In this hands-on course, participants will learn how to design functional genomics experiments, manage and analyse RNA-seq datasets from zebrafish, and compare results to other species. The aim of the course is to equip researchers with tools to carry out functional analysis and data visualisation of RNA-seq data that has already been mapped to the genome and been analysed for differential gene expression. The course will be relevant to researchers working on a wide range of topics and will use real datasets from our lab for hands-on analysis. Who is this course for? This course is aimed at researchers currently working with zebrafish and generating genomic and functional data. Graduate students, postdoctoral fellows, research scientists and faculty are encouraged to apply.  Little to no experience with RNA-seq analysis is required, however, applicants who have already generated an RNA-seq dataset from zebrafish samples relevant to their project will gain the most benefit from this course.  Some experience with R is beneficial. Please note this information is from the 2019 course edition and may change slightly for the course taking place in 2022.  2022-09-26 09:00:00 UTC 2022-09-30 00:00:00 UTC European Bioinformatics Institute Hinxton, United Kingdom European Bioinformatics Institute Hinxton Cambridge United Kingdom CB10 1SD [] [] [] 30 [] [] []
  • Single-cell RNA-seq analysis using R

    3 - 7 October 2022

    United Kingdom

    Elixir node event
    Single-cell RNA-seq analysis using R http://tess.elixir-uk.org/events/single-cell-rna-seq-analysis-using-r-b67492cf-c2ef-4d84-abf9-f33d9626cd86 This course covers the analysis of scRNA-seq data using R and command line tools. Participants will be guided through droplet-based scRNA-seq analysis pipelines from raw reads to cell clusters. They will explore and interpret data using R as well as the Single Cell Expression Atlas. Finally participants will put their knowledge into practice through a group challenge on the last two days of the course. Please note that participants will not analyse their own data as part of the course. There will, however, be ample opportunity to discuss their research and ideas with other course participants and trainers. Please note that the dates set for this 2022 course are subject to change, but all changes will be reflected on this course page. To keep informed of changes to the course and to find out when the course opens for applications, please register your interest.  Full programme details will be added in due course.   2022-10-03 09:00:00 UTC 2022-10-07 00:00:00 UTC European Bioinformatics Institute Hinxton, United Kingdom European Bioinformatics Institute Hinxton Cambridge United Kingdom CB10 1SD [] [] [] 30 [] [] []
  • ELIXIR Bioinformatics Industry Forum: Enabling Ecosystems for Machine Learning in the Life Sciences

    11 October 2022

    London, United Kingdom

    ELIXIR Bioinformatics Industry Forum: Enabling Ecosystems for Machine Learning in the Life Sciences http://tess.elixir-uk.org/events/elixir-bioinformatics-industry-forum-enabling-ecosystems-for-machine-learning-in-the-life-sciences The ELIXIR Bioinformatics Industry Forum (EBIF) is a one-day event and aims to bring together the community of bioinformaticians to discuss visionary ideas, bottlenecks and solutions to some of the major challenges in the data-driven life science sector. This year’s EBIF focus is on making Machine Learning robust and reproducible for the Life Sciences. The programme includes a mixture of presentations from industry and academia that will lead to panel discussions on the following themes: Interoperable data and workflows to enable reproducible Machine Learning in the life sciences and the role of Open Science in the value chain; Challenges and solutions in Machine Learning for the life sciences - Federated Learning and Synthetic Data; Innovation, collaboration and security in the Machine Learning Ecosystem. Format: Hybrid event We encourage physical attendance for participating in roundtable discussions and networking activities, and for engaging with the speakers. Virtual particiapnts will only access live stream and ask questions via SliDo. Target audience:  Bioinformaticians and technical specialists with an interest in the industry perspective of the topic. Aims: Give companies the chance to present technological advances in the field of Machine Learning in life sciences; Provide a forum for knowledge exchange and collaboration in the pre-competitive space; Create networking opportunities with bioinformatics opinion leaders, academic experts in ELIXIR and other industry members. Programme: Two Sessions of presentations from academia and industry Flash talk session and round table discussions (only for physical attendees) Panel discussions Keynote speech 2022-10-11 09:00:00 UTC 2022-10-11 18:00:00 UTC Wellcome Collection, London, United Kingdom Wellcome Collection London United Kingdom NW1 2BE [] [] [] [] [] []
  • Structural bioinformatics

    17 - 21 October 2022

    United Kingdom

    Elixir node event
    Structural bioinformatics http://tess.elixir-uk.org/events/structural-bioinformatics-f94b8ddd-31e6-4539-b4c9-fdff8bc0b841 Please note that the dates set for this 2022 course are subject to change, but all changes will be reflected on this course page.  We are at this stage unable to confirm whether this course will be running onsite at Hinxton or will be delivered virtually. To keep informed of all changes to the course and to find out when the course opens for applications, please register your interest. 2022-10-17 09:00:00 UTC 2022-10-21 00:00:00 UTC European Bioinformatics Institute Hinxton, United Kingdom European Bioinformatics Institute Hinxton Cambridge United Kingdom CB10 1SD [] [] [] 30 [] [] []

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