Handles creating, reading and updating events.

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            "description": "In an effort to inform members of the research community about our annotation methods, to provide training for collaborators and other scientists who use the MicroScope platfom, and to inform scientific public on the analysis available in PkGDB (Prokaryotic Genome DataBase), we have developed a 4.5-day course in Microbial Genome Annotation and Comparative Analysis using the MaGe graphical interfaces.\r\n\r\nThis course will familiarize attendees with LABGeM’s annotation pipeline and the manual annotation software MaGe (Magnifying Genome) . No specific bioinformatics skill is required: detailed instruction on the algorithm developed in each annotation methods can be found in specific training courses on «Genomic sequences analysis». Here we focus on the general idea behind each method and, above all, the way you can interpret the corresponding results and combine them with other evidences in order to change or correct the current automatic functional annotation of a given gene, if necessary.\r\n\r\nThis course will also describe how to perform effective searches and analysis of procaryotic data using the graphical functionalities of the MaGe’s interfaces. Because of the numerous pre-computation available in our system (results of “common” annotation tools, synteny with all complete bacterial genomes, metabolic pathway reconstruction, fusion/fission events, genomic islands, …), many practical exercises allow attendees to get familiar with the use the MaGe graphical interfaces in order to efficiently explore these sets of results.",
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            "updated_at": "2025-01-23T13:31:47.576548Z",
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            "name": "Traitement bioinformatique et analyse différentielle de données d’expression RNA-seq sous Galaxy : 2025",
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            "updated_at": "2025-01-29T11:32:09.198019Z",
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                "R"
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            "city": "Aubière",
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            "name": "Cluster - 12 March 2025",
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            "updated_at": "2024-12-06T20:50:57.555838Z",
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            "start_date": "2025-03-12",
            "end_date": "2025-03-12",
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            "city": "castanet-tolosan",
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            "geographical_range": "National",
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            "updated_at": "2024-01-17T10:46:26.358781Z",
            "type": "Training course",
            "start_date": "2024-03-14",
            "end_date": "2024-03-14",
            "venue": "https://migale.inrae.fr/how-to-come",
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        {
            "id": 477,
            "name": "Cluster - session 2022/10/11",
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        {
            "id": 462,
            "name": "Principes FAIR dans un projet de bioinformatique - Session 2022",
            "shortName": "FAIR bioinfo - session 2022",
            "description": "L’Institut Français de Bioinformatique (IFB) organise en partenariat avec l’Institut de Biologie Intégrative de la Cellule (I2BC) une formation à destination des bioinformaticiens et biostatisticiens souhaitant mettre en oeuvre les principes “FAIR” (Facile à trouver, Accessible, Interopérable, Réutilisable) dans leurs projets d’analyse et de développement. Les concepts FAIR, initialement définis dans le contexte d’ouverture des données de la recherche, seront ici adaptés pour cadrer avec un projet type de développement et/ou analyse bioinformatique/biostatistique. Ainsi, la formation n’abordera pas les aspects “FAIR” spécifiques aux données mais introduira plusieurs outils permettant d’améliorer la reproductibilité des analyses.",
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                "NGS Sequencing Data Analysis",
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            "updated_at": "2022-10-07T08:23:00.426374Z",
            "type": "Training course",
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            "name": "Introduction au profilage taxonomique et visualisation de communautés microbiennes à partir de données métagénomiques avec Galaxy",
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        },
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            "description": "L’Institut Français de Bioinformatique (IFB) organise en partenariat avec l’Institut de Biologie Intégrative de la Cellule (I2BC) une formation à destination des bioinformaticiens et biostatisticiens souhaitant mettre en oeuvre les principes “FAIR” (Facile à trouver, Accessible, Interopérable, Réutilisable) dans leurs projets d’analyse et de développement. Les concepts FAIR, initialement définis dans le contexte d’ouverture des données de la recherche, seront ici adaptés pour cadrer avec un projet type de développement et/ou analyse bioinformatique/biostatistique. Ainsi, la formation n’abordera pas les aspects “FAIR” spécifiques aux données mais introduira plusieurs outils permettant d’améliorer la reproductibilité des analyses.",
            "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=19",
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            ],
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            ],
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            "updated_at": "2023-10-16T08:28:12.972795Z",
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            "id": 541,
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            "description": "Bilille propose des formations en partenariat avec CNRS Formation Entreprises à destination des chercheur-euse-s, enseignant-e-s-chercheur-euse-s, ingénieur-e-s, technicien-ne-s en biologie et médecine. \r\n\r\nObjectifs :\r\n- Comprendre les principes des méthodes d'analyse de données de séquençage à haut débit (NGS)\r\n- Comprendre les paramètres des méthodes et leur impact sur les résultats\r\n- Apprendre à identifier les outils d'analyse en fonction du jeu de données\r\n- Être autonome pour analyser des données dans un gestionnaire de workflow comme Galaxy\r\n- Savoir manipuler les fichiers de lecture de séquençage : extraction, préparation, filtrage / nettoyage\r\n- Savoir évaluer la qualité des données de séquençage\r\n- Savoir analyser des données de séquençage de génomes (avec ou sans génome de référence) et prendre du recul sur le protocole expérimental\r\n- Savoir analyser des données de RNA-seq (avec ou sans génome de référence) et prendre du recul sur le protocole expérimental",
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            ],
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            "end_date": "2023-10-20",
            "venue": "",
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        },
        {
            "id": 620,
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        },
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            "id": 478,
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            ],
            "topics": [
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                "Linux"
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        },
        {
            "id": 730,
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            "description": "In an effort to inform members of the research community about our annotation methods, to provide training for collaborators and other scientists who use the MicroScope platfom, and to inform scientific public on the analysis available in PkGDB (Prokaryotic Genome DataBase), we have developed a 4.5-day course in Microbial Genome Annotation and Comparative Analysis using the MaGe graphical interfaces.\r\n\r\nThis course will familiarize attendees with LABGeM’s annotation pipeline and the manual annotation software MaGe (Magnifying Genome) . No specific bioinformatics skill is required: detailed instruction on the algorithm developed in each annotation methods can be found in specific training courses on «Genomic sequences analysis». Here we focus on the general idea behind each method and, above all, the way you can interpret the corresponding results and combine them with other evidences in order to change or correct the current automatic functional annotation of a given gene, if necessary.\r\n\r\nThis course will also describe how to perform effective searches and analysis of procaryotic data using the graphical functionalities of the MaGe’s interfaces. Because of the numerous pre-computation available in our system (results of “common” annotation tools, synteny with all complete bacterial genomes, metabolic pathway reconstruction, fusion/fission events, genomic islands, …), many practical exercises allow attendees to get familiar with the use the MaGe graphical interfaces in order to efficiently explore these sets of results.",
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