Handles creating, reading and updating events.

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            "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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                "Workflow development"
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            "name": "Annotation and analysis of prokaryotic genomes using the MicroScope platform - mars 2022",
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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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            "end_date": "2022-03-18",
            "venue": "Evry University Paris Saclay",
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            "name": "Linux/Unix",
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            "description": "This training presents the following points: how to access the platform, how to use a Unix environment, how to create and manipulate and transfer files with command line from your computer toward our cluster and vice versa. Organized jointly by the Sigenae and bioinfo genotoul platforms.\n",
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            "name": "Advanced sequence analysis",
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            "description": "https://cnrsformation.cnrs.fr/stage-19019-Analyse-avancee-de-sequences.h...\n",
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            "type": "Training course",
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            "id": 554,
            "name": "Graphiques sous R avec ggplot2 / Graphics with R-ggplot2 (2023 session )",
            "shortName": "Graphics with R-ggplot2 (2023)",
            "description": "Objectifs pédagogiques :\r\nÀ l’issue de la formation, les stagiaires connaîtront les principales fonctionnalités du package R « ggplot2 » et la démarche sous-jacente pour construire un graphique à partir d’un tableau de données. Ils seront capables de réaliser plusieurs types de représentations graphiques, telles que des nuages de points, des courbes, des histogrammes, des diagrammes en bâtons, des boxplots, des heatmaps, etc.  Les stagiaires pourront apporter leur propre tableau de données et pratiquer dessus en fin de formation. \r\n\r\nProgramme :\r\n- Principes généraux liés au package ggplot2 \r\n- Principales fonctions graphiques pour réaliser des nuages de points, des histogrammes, des boxplots, etc. \r\n- Principales fonctions pour jouer sur les coloriages en fonction d’une variable, sur les échelles de couleurs, sur les graduations, sur les représentations multiples, etc.",
            "homepage": "https://migale.inrae.fr/trainings",
            "is_draft": false,
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            "accessConditions": "",
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                    "id": 88,
                    "name": "BioinfOmics",
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                }
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                    "id": 10,
                    "name": "MIGALE",
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            ],
            "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png",
            "updated_at": "2024-01-17T10:24:23.197102Z",
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            "end_date": "2023-05-15",
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            "name": "5th workshop Single-Cell : Transcriptomics, Spatial and Long reads",
            "shortName": "5th SincellTE",
            "description": "This workshop focuses on the large-scale study of heterogeneity across individual cells from a genomic, transcriptomic and epigenomic point of view. New technological developments enable the characterization of molecular information at a single cell resolution for large numbers of cells. The high dimensional omics data that these technologies produce raise novel methodological challenges for the analysis. In this regard, dedicated bioinformatics and statistical methods have been developed in order to extract robust information.\r\n\r\nThe workshop aims to provide such methods for engineers and researchers directly involved in functional genomics projects making use of single-cell technologies. A wide range of single cell topics will be covered in lectures, demonstrations and practical classes. Among others, the areas and issues to be addressed will include the choice of the most appropriate single-cell sequencing technology, the experimental design and the bioinformatics and statistical methods and pipelines. For this edition, new courses/practicals will focus on spatial transcriptomics, cell phenotyping and additional multi-omics.\r\n\r\nA wide range of single cell topics will be covered in lectures, demonstrations and practical classes. Among others, the areas and issues to be addressed will include the choice of the most appropriate single-cell sequencing technology, the experimental design and the bioinformatics and statistical methods and pipelines. For this edition, new courses/practicals will focus on spatial transcriptomics, cell phenotyping and additional multi-omics.\r\n\r\nRequirements : Participants must have prior experience on NGS data analysis  with everyday use of R and good knowledge of Unix command line. Before the training, participants will be asked to familiarize themselves with the processing and primary analyses steps of scRNA-seq datasets with provided pedagogic material.\r\n\r\nIt is not necessary to have personal single-cell data to analyse.\r\n\r\nAll the classes will be taught in English",
            "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=27",
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                "long read sequencing",
                "spatial transcriptomics"
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                "Master",
                "Autre (Diplôme universitaire, école d'ingénieur ...)"
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            "openTo": "Everyone",
            "accessConditions": "Participants must have prior experience on NGS data analysis with everyday use of R and/or Python and good knowledge of Unix command line. Before the training, participants are advised to familiarize themselves with the processing and primary analyses steps of scRNA-seq datasets. \r\nIt is not necessary to have personal single-cell data to analyse.",
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                    "id": 48,
                    "name": "Institut Pasteur",
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            "logo_url": "https://github.com/IFB-ElixirFr/Training/blob/main/logo_sincellte.png?raw=true",
            "updated_at": "2024-03-20T16:00:20.423462Z",
            "type": "Training course",
            "start_date": "2024-10-20",
            "end_date": "2024-10-25",
            "venue": "Station Biologique",
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            "country": "France",
            "geographical_range": "International",
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            "registration_opening": "2024-03-12",
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        {
            "id": 350,
            "name": "Analyse de données métagénomiques 16S",
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            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2017-06-19",
            "end_date": "2017-06-22",
            "venue": "",
            "city": "Jouy en Josas",
            "country": "",
            "geographical_range": "",
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            "name": "Metagenomic amplicon analysis/Frogs",
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            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2017-02-19",
            "end_date": "2017-02-22",
            "venue": "",
            "city": "Salle de formation Inra",
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            "id": 199,
            "name": "Ecole single-cell 2019",
            "shortName": "SincellTE 2019",
            "description": "Transcriptomique et épigénomique en cellule unique: théorie et pratique",
            "homepage": "https://ressources.france-bioinformatique.fr/fr/evenements/sincellTE_2019",
            "is_draft": false,
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            "accessConditions": "",
            "maxParticipants": 30,
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            "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/sincellTE_logo_0_2.png",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2019-02-03",
            "end_date": "2019-02-08",
            "venue": "Station Biologique",
            "city": "Roscoff",
            "country": "France",
            "geographical_range": "",
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            "registration_closing": "2018-11-15",
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        },
        {
            "id": 262,
            "name": "Galaxy : Reads alignment and SNP calling",
            "shortName": "",
            "description": "As the command line training but with Galaxy. Organized jointly by the Sigenae and bioinfo genotoul platforms.\n",
            "homepage": "http://bioinfo.genotoul.fr/index.php/events/reads-alignment-and-small-size-varia…",
            "is_draft": false,
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                "Variant analysis",
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                "NGS Sequencing Data Analysis"
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            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "You need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private\n",
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            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2018-10-07",
            "end_date": "2018-10-08",
            "venue": "",
            "city": "Auzeville-Tolosane",
            "country": "",
            "geographical_range": "",
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        {
            "id": 628,
            "name": "EBAII - Ecole de Bioinformatique  \"Initiation au traitement des données de génomique obtenues par séquençage à haut débit\" session 2024",
            "shortName": "EBAII niv1 - 2024 session",
            "description": "Description : La formation EBAII IFB Aviesan de niveau 1 propose une expérience d'apprentissage intensive conçue pour les biologistes, qu'ils soient ingénieurs, doctorants, chercheurs, enseignants-chercheurs ou praticiens, qui sont confrontés à l'analyse de données NGS (Next-Generation Sequencing) mais qui ne disposent pas encore des compétences bioinformatiques nécessaires, ou qui cherchent à renforcer leurs compétences existantes.\r\n\r\nContenu : Cette formation est structurée autour d'une combinaison de sessions théoriques et d'ateliers pratiques. Les participants auront l'occasion d'explorer diverses thématiques, notamment le traitement de données de variants, ChIP-Seq, Bulk RNA-Seq, et Single-Cell RNA-Seq. De plus, ils recevront une introduction aux technologies \"long reads\".\r\n\r\nObjectifs généraux:\r\nAcquérir une compréhension approfondie des concepts liés à l'analyse de données NGS.\r\nMaîtriser les outils informatiques nécessaires pour effectuer ces analyses.\r\nInterpréter les résultats des analyses de données NGS.",
            "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=28",
            "is_draft": false,
            "costs": [
                "Priced"
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            "topics": [],
            "keywords": [
                "Biostatistics",
                "Sequence analysis",
                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [],
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