Handles creating, reading and updating events.

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            "shortName": "MicroScope training mars 2022",
            "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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            "type": "Training course",
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            "end_date": "2022-03-18",
            "venue": "Evry University Paris Saclay",
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            "name": "Introduction to Oxford Nanopore Technology data analyses - 2021 - session 09/28-30",
            "shortName": "Introduction to ONT data analyses - 2021 - session 09/28-30",
            "description": "This course offers an introduction to ONT data analysis. It includes 5 issues: basecalling, reads quality control, assemblies and polishing/correction, contig quality and structural variants detection.",
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            "name": "Cluster - session 2022/03/15",
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            "homepage": "https://www.france-bioinformatique.fr/formation/ebaii-2022-n1/",
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                "NGS Sequencing Data Analysis"
            ],
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            "openTo": "Everyone",
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            "id": 393,
            "name": "Cours Programmation Scientifique en Python",
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            "description": "The ever growing usage of high throughput technologies in Biology is revolutionizing the life sciences and profoundly changing its practices. Scripting languages are used on a daily basis in life science labs in order to mine huge data sets produced by high-throughput devices. This two-week course will give participants basic knowledge in python and state-of-the-art machine learning methods to analyze their own data sets.\r\nDescription:\r\nThis course is intended for PhD students, engineers and research scientists willing to acquire knowledge in scientific programming. Throughout the course, we will use Python language to lead participants from the basics of computer programming to more advanced techniques such as practical machine learning techniques.",
            "homepage": "https://www.pasteur.fr/fr/programmation-scientifique-python",
            "is_draft": false,
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                "Tool integration",
                "Workflow development",
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            "updated_at": "2024-06-10T12:40:00.372956Z",
            "type": "Training course",
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            "end_date": "2017-03-30",
            "venue": "",
            "city": "Institut Pasteur",
            "country": "",
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            "name": "Formation IFB Science Ouverte & PGD - Comment gérer des jeux de données haut-débit en sciences de la vie et de la santé - Session 2",
            "shortName": "FAIR data - Session 2",
            "description": "L’Institut Français de Bioinformatique (IFB) organise une formation à destination de bioinformaticiens, biologistes et médecins. La formation abordera les différents points fondamentaux (théoriques, pratiques, juridiques) en lien avec la politique nationale d’ouverture des données de la recherche et présentera sous forme de séances pratiques les ressources nationales accessibles à la communauté scientifique ainsi que les solutions proposées par l’IFB pour gérer les données d’un projet de recherche.",
            "homepage": "https://www.france-bioinformatique.fr/formation/fair-data-science-ouverte-et-pgd-session-2/",
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            ],
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            "type": "Training course",
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            "end_date": "2021-11-18",
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            "country": "France",
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            "id": 703,
            "name": "Python scripts for bioinformatics and Linux - Session 2025",
            "shortName": "Scripts en Python pour la bioinformatique et environnement Linux",
            "description": "OBJECTIFS\r\n- Connaître les principes et les avantages du système Linux\r\n- Connaître et savoir utiliser les commandes de base permettant de lancer des programmes sous Linux\r\n- Comprendre et savoir lancer des scripts\r\n- Être capable d'écrire des scripts en Python\r\n- Acquérir de l'autonomie pour effectuer des analyses bioinformatiques qui combinent plusieurs outils \r\n\r\nPRÉREQUIS\r\n- Notions de base en informatique : fichiers, répertoires, etc. \r\n\r\nPROGRAMME\r\n- Linux : lignes de commandes, principales commandes, redirection\r\n- Lancer, créer et modifier des scripts\r\n- Notions de variables, de boucles, de choix\r\n- Programmation de scripts : utilisation de paramètres et de variables, combinaison d'outils et de logiciels, écriture des résultats dans un ou plusieurs fichiers\r\n- Création d'un pipeline d'outils",
            "homepage": "https://cnrsformation.cnrs.fr/linux-et-script-pour-bioinformatique",
            "is_draft": false,
            "costs": [
                "1200 €"
            ],
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            "keywords": [
                "Linux",
                "Python Language"
            ],
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            "accessConditions": "",
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            "logo_url": null,
            "updated_at": "2025-02-11T08:50:54.103356Z",
            "type": "Training course",
            "start_date": "2025-11-04",
            "end_date": "2025-11-07",
            "venue": "",
            "city": "Montpellier",
            "country": "France",
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            "registration_opening": "2025-02-01",
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        {
            "id": 704,
            "name": "Mathematical and Computational Evolutionary Biology (MCEB)",
            "shortName": "MCEB",
            "description": "MCEB will take place in Granada, Spain for its 2025 edition. The meeting will put the emphasis on methods and models for phylogenomics and population genomics. Beyond this year's themes, general concepts, models, methods and algorithms will be presented and discussed, just as in the previous editions of MCEB. As usual, the meeting will bring together researchers originating from various disciplines: mathematics, statistics, computer science, phylogenetics, population genetics, molecular epidemiology, biodiversity and macroevolution... Keynote speakers will\r\nintroduce a field of research and discuss their own work in this field. Afternoon will be for short presentations and posters, with plenty of time for discussions. We will stop early every day, thus leaving time for other activities.\r\n\r\nKEYNOTES:\r\n** Sophie Abby - \"Evolution of biosynthetic pathways in Bacteria\"\r\n** Richard Durbin - \"Population genome variation – going beyond SNPs\"\r\n** Lisa Pokorny Montero - \"Genomic approaches to the study of plant evolution\"\r\n** Harald Ringbauer - \"Advanced ancient DNA analysis\"\r\n** Kristina Wicke - \"Inference of phylogenetic networks\"\r\n** Jaime Huerta-Cepas - \"Evolutionary significance of unknown microbial genes\"",
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            ],
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            "description": "Presentation of IMGT® patterns and resources for the study of genes, expressed repertoires and three-dimensional structures of immunoglobulins (antibodies) and T cell receptors.",
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            "id": 400,
            "name": "Diplôme Universitaire en Bioinformatique Intégrative - session  2020 / University Diploma in Integrative Bioinformatics - 2020 session",
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            "description": "La bioinformatique est devenue une compétence incontournable pour l'analyse de données de nature diverse : génomes, transcriptomes, protéomes, métabolomes, structures macromoléculaires, réseaux d'interactions. L'appropriation par les biologistes des méthodes et outils de biostatistique et bioinformatique intégrative est un enjeu majeur pour la montée en compétence des équipes de recherche et des plateformes de service. L'université Paris Diderot propose en partenariat avec l'Institut Français de Bioinformatique (IFB) la deuxième édition du Diplôme Universitaire en Bioinformatique intégrative (DU-Bii). Cette formation s’adresse en priorité à des biologistes en demande d'évolution ou de reconversion professionnelle ayant déjà acquis des compétences (formation courte, autoapprentissage, expérience de terrain) en informatique ou bioinformatique/biostatistique (environnement Unix, Python ou R ou autre langage de programmation). Les prérequis sont décrits sur le portail “DU” de l’université Paris Diderot, qui présente le DU-Bii et le DU complémentaire \"Création, Analyse et Valorisation de données omiques\" (DUO) : voir la page dédiée. Le DU-Bii fournira une formation théorique et pratique, complétée par une période d'immersion sur l'une des plateformes régionales de l'IFB, qui mobilisera, dans le cadre d'un projet tutoré, l'ensemble des méthodes et outils appris durant les cours pour réaliser un projet personnel de bioinformatique intégrative. Ce projet combinera des données propres à chaque participant produites dans son laboratoire (principe BYOD : “Bring Your Own Data”) ou collectées à partir de bases de données publiques. Cette formation se déroulera pendant 8 semaines réparties entre : Les cours : 4 semaines à raison de 4 jours/semaine en présentiel (96h) du 2 mars au 2 avril 2020 avec 1 semaine de césure la semaine 12). Le projet tutoré : 20 jours sur l'une des plateformes bioinformatique de l'IFB, à répartir entre le 6 avril et le 19 juin 2020.\r\nRenseignements et candidatures : fcsdv@univ-paris-diderot.fr\r\nInscriptions : voir la page page du DU-Bii de l'Université Paris Diderot\r\nContacts Paris-Diderot : Bertrand.Cosson@univ-paris-diderot.fr \r\nContacts IFB : Helene.Chiapello@inra.fr, Jacques.van-Helden@univ-amu.fr",
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            "type": "Training course",
            "start_date": "2022-11-21",
            "end_date": "2022-11-25",
            "venue": "Evry University Paris Saclay",
            "city": "Evry",
            "country": "France",
            "geographical_range": "International",
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            "homepage": "http://bioinfo.genotoul.fr/index.php/events/cluster-2/",
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                "Academic but non-INRAE: 170 € + 20% taxes (TVA)",
                "For INRAE's staff: 150 € no VAT charged;"
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            "topics": [],
            "keywords": [
                "Linux",
                "Cluster"
            ],
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            "updated_at": "2023-05-17T10:14:33.722250Z",
            "type": "Training course",
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            "end_date": "2022-10-11",
            "venue": "",
            "city": "Castanet Tolosan",
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            "openTo": "Internal personnel",
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            "updated_at": "2022-12-12T12:31:11.145062Z",
            "type": "Training course",
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            "end_date": "2023-03-06",
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            "country": "France",
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            "id": 414,
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            "id": 416,
            "name": "Principes FAIR dans un projet de bioinformatique - Session 2021",
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            "venue": "Institut des Systèmes Complexes\r\n113 rue Nationale 75013\r\nParis\r\nMétros : Olympiades (L14) ou Nationale (L6)\r\nStation Vélib : place Nationale.",
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        {
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                    "id": 87,
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            "venue": "",
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