Handles creating, reading and updating events.

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            "name": "Module 2 : RNAseq bioinformatic from sequence to expression level smallRNA & isoform (eukaryote)",
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            "city": "Gif sur Yvette",
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            "homepage": "https://www.enseignement.biologie.ens.fr/spip.php",
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            "city": "Ecole Normale Supérieure",
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            "name": "Initiation à Galaxy / Galaxy Initiation - Session 1 - 2023",
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            "name": "Traitements bioinfo RNA-seq ",
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            "name": "How to use a  bioinformatic HPC? ",
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            "name": "Metagenomic amplicon analysis with stats",
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            "type": "Training course",
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            "city": "Salle de formation Inra",
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            "id": 396,
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            "description": "More than twenty years after the first bacterial genome has been sequenced, microbiologists are faced with an avalanche of genomic data. However the quality of the functional annotations of the sequenced proteome is very poor with more than half of the sequenced proteins remaining of unknown function. After taking this course, students should master an array of web-based tools to help to predict gene function. This will allow them to generate in silico based functional predictions and produce illustration for manuscripts that use comparative genomic methods. For background read (https://www.ncbi.nlm.nih.gov/pubmed/20001958)\n",
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                "Functional and regulatory pathways comparison",
                "Genomes comparison",
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                "Databases and information systems"
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            "updated_at": "2022-06-02T11:50:50.627601Z",
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            "end_date": "2017-10-25",
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            "name": "Data collection and registration of Diagnostic tests for Orphanet information scientists",
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            "updated_at": "2022-06-02T11:50:50.627601Z",
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            "start_date": "2017-09-28",
            "end_date": null,
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            "city": "Paris (à distance)",
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            "name": "Initiation à l’Analyse des données RNAseq sous l’environnement Galaxy",
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                "Free"
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            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2017-11-07",
            "end_date": "2017-11-09",
            "venue": "",
            "city": "Nantes",
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            "id": 221,
            "name": "BioMAJ Hackaton",
            "shortName": "",
            "description": "A BioMAJ hackaton will be held at IRISA Rennes the 26th and 27th of september, for people willing to contribute to BioMAJ code.",
            "homepage": "",
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                "NGS Data Analysis",
                "Analysis of RNAseq data",
                "Statistical Tests",
                "R Language",
                "Variant analysis",
                "Knowledge mining",
                "Statistical Genetics",
                "Transcriptomics (RNA-seq)",
                "Genomics (DNA-seq)"
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            "type": "Training course",
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            "id": 398,
            "name": "Analyse de séquences",
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            "description": "\n\n\nLes biologistes sont régulièrement confrontés à des gènes (ou des protéines) de fonctions inconnues ou mal annotés. Dans ce contexte, maîtriser quelques techniques basiques d’analyse de séquences peut se révéler d’une aide précieuse. \nL’objectif de cette formation est de présenter, au travers de l’utilisation de sites web spécialisés, quelques grands principes sur l’analyse de séquence. L’ensemble de la formation combine exposés théoriques (fondements méthodologiques des programmes) et applications pratiques (mise en relation des notions théoriques avec les paramètres des programmes et les résultats obtenus) pour permettre une utilisation autonome et critique de quelques logiciels d’analyse des séquences biologiques.\n\n\n\n",
            "homepage": "https://c3bi.pasteur.fr/training-analyse-de-sequences/",
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                "Free"
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                "Sequence analysis",
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            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
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            "id": 108,
            "name": "Survival Guide for Perl applied to Bioinformatics",
            "shortName": "",
            "description": "This course provides an introduction to programming using Perl.",
            "homepage": "https://southgreenplatform.github.io/trainings//perl/",
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            "type": "Training course",
            "start_date": "2017-10-01",
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            "city": "ISRA, Bel Air, Dakar (Sénégal)",
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            "id": 19,
            "name": "Montpellier Omics Days 2017",
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            "description": "Manifestation scientifique gratuite organisée dans le cadre de l’Unité d’Enseignement « Omiques »",
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            "id": 643,
            "name": "Artificial Intelligence and Machine Learning in Life Sciences: from foundations to applications 2025",
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            "description": "Artificial intelligence (AI) has permeated our lives, transforming how we live and work. Over the past few years, a rapid and disruptive acceleration of progress in AI has occurred, driven by significant advances in widespread data availability, computing power and machine learning. Remarkable strides were made in particular in the development of foundation models - AI models trained on extensive volumes of unlabelled data. Moreover, given the large amounts of omics data that are being generated and made accessible to researchers due to the drop in the cost of high-throughput technologies, analysing these complex high-volume data is not trivial, and the use of classical statistics can not explore their full potential. As such, Machine Learning (ML) and Artificial Intelligence (AI) have been recognized as key opportunity areas, as evidenced by a number of ongoing activities and efforts throughout the community.\r\n\r\nHowever, beyond the technological advances, it is equally important that the individual researchers acquire the necessary knowledge and skills to fully take advantage of Machine Learning. Being aware of the challenges, opportunities and constraints that ML applications entail, is a critical aspect in ensuring high quality research in life sciences.\r\n\r\nRecognizing this need, this week-long training will bring together experts from four ELIXIR Nodes and deliver a hands-on, high-intensity course available for members from all ELIXIR Nodes.\r\n\r\nLearners will be guided across the various steps in Machine Learning, from the foundational concepts, through the deep learning and generative AI techniques, closely complemented by insights into the existing reporting (DOME Recommendations) and regulatory frameworks (EU AI Act).\r\n\r\nThis 4-day school will involve around 10 trainers/helpers from across 4 different ELIXIR nodes and 30 participants from across all ELIXIR nodes. It will be hosted in France in May 2025.",
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                "http://edamontology.org/topic_3474"
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                "Machine learning",
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