Handles creating, reading and updating events.

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            "name": "Construction and analysis of eukaryotic pangenome graphs - 30 novembre 2026",
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            "description": "This training session is organized by the Genotoul-Bioinfo platform. This 2 days long course is dedicated to the construction and the analysis of eukaryotic pangenome graphs.\r\n\r\nWe will first present the concept of graph-based pangenome, then build one. We will then apply several tools for its analysis: use annotation, call variants, extract sub-graphs, visualize the graph, map reads, genotype individuals, and perform a GWAS on the graph. The different formats will also be presented.\r\n\r\nBy the end of the course, trainees will be familiar with the topic, and able to run the major tools made to build an exploit a pangenome graph.",
            "homepage": "https://bioinfo.genotoul.fr/index.php/events/pangenome/",
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                "INRAE for INRAE's staff: 300 € no VAT charged",
                "Academic non-INRAE for academic but non-INRAE: 340 € + 20% taxes (TVA)"
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            "updated_at": "2026-04-20T08:13:35.712988Z",
            "type": "Training course",
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            "end_date": "2026-12-02",
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            "name": "LINUX - 28 septembre 2026",
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            "description": "This training session is organized by the Genotoul bioinfo platform and aims at learning sequence analysis. This training session has been designed to familiarize yourself with the platform resources and its organization. You will learn to access the platform from your work station, what is an Linux environment and how to use it, how to create and manipulate files, how to transfer them from and to your personal computer.\r\n\r\nThis training is focused on practice. It consists of 3 modules with a large variety of exercises:\r\n\r\n- Connect to « genotoul » server (09:00 am to 10:30 am): Platform presentation, Linux basics, opening an user account, Putty installation, first connection.\r\n- Files and basics commands  (10:45 am to 12:00 pm): types of files and secure access, file manipulation commands, text editors and viewers, disk space management .\r\n- Transfers and file manipulation (14:00 pm to 17:00 pm): download/transfer, compress/uncompress, utility commands and data extraction, output redirections.",
            "homepage": "https://bioinfo.genotoul.fr/index.php/events/linux-2-2/",
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            "updated_at": "2026-04-20T08:19:30.914358Z",
            "type": "Training course",
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                    "name": "Linux slides - Genotoul-bioinfo",
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            "name": "Galaxy Beyond Basics: Mastering Workflows, Automation, and Scalability 2026",
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            "description": "Join us for an intensive, week-long, in-person training designed to elevate your Galaxy expertise to new heights. This workshop is tailored for data scientists, advanced Galaxy users, and team leaders who need to scale, automate, and publish their data analysis workflows for batch processing and production-level applications.\r\n\r\nOver five days, you’ll embark on a comprehensive journey through Galaxy’s advanced capabilities:\r\n\r\nMonday: Introduction & Workflow Development\r\n\r\nStart with a welcome and icebreaker to foster collaboration, followed by a brief overview of Galaxy and its workflow features. Dive into hands-on workflow development, where you’ll learn to design clean, efficient workflows, customize them with parameters, and generate user-friendly workflow reports—combining theory with practical application.\r\n\r\nTuesday: Workflow FAIRification, Documentation, and Export\r\n\r\nBegin with a recap of Day 1, then explore UseGalaxy.fr and its unique features. Learn to annotate workflows with metadata, apply best practices for FAIR compliance, and implement tests to ensure reliability. Publish your workflows to WorkflowHub and Dockstore via the IWC. Develop high-resolution workflow visualizations and create interactive tutorials using a “Choose Your Own Tutorial” approach. Finally, master workflow export by creating RO-Crates for reproducibility and submitting workflows to LifeMonitor for performance tracking.\r\n\r\nWednesday: Scaling Workflows & Galaxy Using Command-Line and API\r\n\r\nStart with a recap and real-world examples of large-scale Galaxy projects. Learn to execute workflows from the command line using Planemo, automate batch processing with shell scripts, and analyze performance for efficiency. Discover how to scale Galaxy use with BioBlend, designing Python scripts for batch workflow execution and evaluating scalability. The day concludes with an introduction to the “Bring Your Own Work” session.\r\n\r\nThursday: Bring Your Own Work (BYOW)\r\n\r\nDedicate the day to applying your new skills to your own projects. With guidance from trainers, refine your workflows, troubleshoot challenges, and implement solutions using your personal data. Collaborate with peers, document your progress, and optimize your workflows to leave with actionable results for your research.\r\n\r\nFriday: Storage, Data Management, Recap, and Closing\r\n\r\nThe final half-day begins with a recap of the week’s progress, followed by a session on “Bring Your Own Storage”, exploring how to integrate personal or institutional storage with Galaxy. Learn about managing databases in Galaxy and the IDC (Intergalactic Data Commission) effort for efficient data organization. The workshop concludes with a general recap, supplementary exercises, and feedback and closing remarks, ensuring you leave with a comprehensive understanding and resources for continued success.\r\n\r\nThis training will be conducted in French, while the materials (slides) will be in English.\r\n\r\nRequirements\r\n\r\nPrior knowledge and experience using Galaxy\r\nPrior knowledge and experience using command line\r\nFluent in French (materials will be in English and discussions will happen in French)\r\nYour own computer\r\nOptional but encouraged: your own workflow and dataset for the Bring Your Own Work (BYOW) session. The workflow and the dataset must be shareable and non-sensitive (i.e., they must not contain any patient-related information or confidential data). The dataset size must be small.",
            "homepage": "https://training.galaxyproject.org/training-material/events/2026-10-12-Advanced-Galaxy-Training.html#overview",
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                "700 euros HT"
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            "updated_at": "2026-06-16T15:50:42.378756Z",
            "type": "Training course",
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            "name": "AlphaFold et au-delà : Modélisation de la structure 3D des protéines avec des outils d’IA  - édition 2027/ AlphaFold & beyond: 3D Protein Structure Modeling with AI Tools - 2027 session",
            "shortName": "AlphaFold 2027",
            "description": "L’Institut Français de Bioinformatique organise en partenariat avec l'IDRIS et les plateformes PRABI-AMS, BIOI2, CUBIC, RPBS et Bilille une nouvelle formation intitulée: “AlphaFold et au-delà : Modélisation de la structure 3D des protéines avec des outils d’IA / AlphaFold & beyond: 3D Protein Structure Modeling with AI Tools”.",
            "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=53",
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            "costs": [
                "300 € for academics, 1000 € for non-academics"
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            "topics": [
                "http://edamontology.org/topic_1317",
                "http://edamontology.org/topic_3542",
                "http://edamontology.org/topic_3534",
                "http://edamontology.org/topic_0736",
                "http://edamontology.org/topic_0091"
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                "Comparative and de novo structure modeling",
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            "updated_at": "2026-06-16T15:36:19.749232Z",
            "type": "Training course",
            "start_date": "2027-01-20",
            "end_date": "2027-01-22",
            "venue": "http://www.idris.fr/info/contacts/alleridris.html",
            "city": "ORSAY CEDEX",
            "country": "France",
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            "name": "Artificial Intelligence and Machine Learning in Life Sciences: from foundations to applications 2026",
            "shortName": "AI & ML in LS 2026",
            "description": "“ELIXIR course: Artificial Intelligence and Machine Learning in Life Sciences” provides researchers with the conceptual foundations and practical skills needed tu use AI and ML methods appropriately, critically, and reproducibly in life-science research. If you plan to analyse complex biological datasets or incorporate AI-based approaches into your work, this course may be for you.\r\n\r\nArtificial Intelligence (AI) and Machine Learning (ML) are rapidly transforming life sciences, enabling new approaches to the analysis, interpretation, and integration of increasingly large and complex biological datasets. To fully benefit from these advances, researchers need both a solid understanding of AI/ML methods and awareness of their limitations, best practices, and regulatory frameworks.\r\n\r\nThis five-day, hands-on training course will guide participants from the foundations of machine learning through deep learning, foundation models, and generative AI, while also covering reproducibility, the DOME recommendations, and the EU AI Act.\r\n\r\nBuilding on the success of the first edition, this second ELIXIR Summer School on Artificial Intelligence and Machine Learning in Life Sciences will bring together AI/ML experts from five ELIXIR Nodes and 25 participants from across the ELIXIR community, fostering knowledge exchange, collaboration, and the responsible adoption of AI in life sciences.",
            "homepage": "https://courses.crg.eu/events/artificial-intelligence-and-machine-learning-life-science-foundations-applications-2026",
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                "300€ for academics, 600€ for industry"
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                "Machine learning"
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                "basic statistics",
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            "updated_at": "2026-07-06T08:01:45.817013Z",
            "type": "Training course",
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            "end_date": "2026-09-18",
            "venue": "Centre for Genomic Regulation (CRG)",
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            "name": "Interactive Online Companionship - R formation Session 2027",
            "shortName": "IOC - R",
            "description": "Introduction to R for data analysis (October to December 2026) – 10 Zoom sessions of 3 hours – €800\r\n\r\nThis course covers the basics of R, data organization and filtering, basic statistics, and creation of publication-ready graphics. The goal is to make you self-sufficient in using R for your own analyses.\r\n\r\n\r\nKey Highlights:\r\n\r\n\r\nSmall group sessions for interactive and personalized learning.\r\nHands-on practice with an individualized project presented at the end of each training course.\r\nTailored feedback on your own data.\r\nLimited spots available, registration is now open.",
            "homepage": "https://inforbio.github.io/content/iot_r_scrnaseq.html",
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            "updated_at": "2026-09-11T11:30:33.453053Z",
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