Handles creating, reading and updating events.

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            "name": "Linux Avancé / Advanced Linux",
            "shortName": "Advanced Linux",
            "description": "Objectifs\r\n- Savoir utiliser des commandes linux pour traiter de grosses quantités de données : fichiers\r\nvolumineux et/ou en grands nombres : recherche, comptage, tri, fusion, …\r\nProgramme\r\n- Introduction\r\n- Décrire (wc, grep)\r\n- Manipuler des fichiers tabulés (cut, sort)\r\n- Rechercher (grep)\r\n- Redirection / Pipeline (stdin, stdout, stderr, >, 2>, &&, |)\r\n- Recherche avancée : notion d’expression régulière (egrep)\r\n- Rechercher/Remplacer haut débit (tr, sed)\r\n- Manipulation de fichier tabulé – mode avancé (awk)\r\n- Traitement séquentiel de nombreux fichiers (for)",
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                "Free"
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                    "name": "SBR - Roscoff Marine Station",
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            "updated_at": "2026-03-24T10:31:12.050942Z",
            "type": "Training course",
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            "id": 796,
            "name": "Annotation and analysis of prokaryotic genomes using the MicroScope platform",
            "shortName": "MicroScope training - December 2026",
            "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.",
            "homepage": "https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/training-annotation-analysis-of-prokaryotic-genomes-using-the-microscope-platform/",
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                "http://edamontology.org/topic_0085",
                "http://edamontology.org/topic_3301",
                "http://edamontology.org/topic_0797"
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                "Licence"
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                    "id": 15,
                    "name": "Laboratory of Bioinformatics Analyses for Genomics and Metabolism",
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                    "id": 67,
                    "name": "University Paris-Saclay",
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            "updated_at": "2026-03-26T14:14:19.457285Z",
            "type": "Training course",
            "start_date": "2026-12-07",
            "end_date": "2026-12-11",
            "venue": "",
            "city": "Evry",
            "country": "France",
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            "id": 652,
            "name": "Analyses NGS avec R",
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            "description": "Cette formation introduira les paquetages Bioconductor permettant l'analyse de données issues du séquençage nouvelle génération.\r\n\r\n- Rappels des concepts du séquençage NGS\r\n- Les outils d'annotation et de conversion d'identifiants\r\n- L'analyse des reads et du résultat d'alignement\r\n- L'analyse d'expression différentielle en RNA-seq\r\n- Les techniques d'enrichissement\r\n- Les outils de visualisation pour les NGS\r\n\r\nLa fin du stage (2 h) sera consacrée à un atelier pédagogique d'analyse et de réflexion sur les données apportées par les stagiaires.",
            "homepage": "https://cnrsformation.cnrs.fr/analyses-ngs-r?axe=176",
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                "http://edamontology.org/topic_0605"
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                "NGS Data Analysis",
                "R Language",
                "Gene expression differential analysis",
                "Data visualization"
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                "Linux - Basic Knowledge"
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                    "name": "CBiB",
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            ],
            "logo_url": "https://services.cbib.u-bordeaux.fr/utils/logo_cbib.png",
            "updated_at": "2025-12-09T10:03:11.757971Z",
            "type": "Training course",
            "start_date": "2026-06-04",
            "end_date": "2026-06-05",
            "venue": "",
            "city": "Bordeaux",
            "country": "France",
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            "registration_opening": "2025-12-03",
            "registration_closing": "2026-05-20",
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        {
            "id": 792,
            "name": "Analyse de données de métabarcoding - 2026",
            "shortName": "Métabarcoding 2026",
            "description": "Cette formation est dédiée à l’analyse de données de type “metabarcoding” issues de la technologie de séquençage Illumina. Nous aborderons les différentes étapes bioinformatiques nécessaires pour transformer les données de séquençage brutes en table d’abondances. Nous présenterons également les outils et méthodologies classiquement utilisés pour décrire la diversité observée et comparer les échantillons.\r\n\r\nA l’issue des 4 jours de formation, les stagiaires connaîtront le périmètre, les avantages et limites des analyses de données de séquençage amplicons (métabarcoding). Ils seront capables d’utiliser les outils de FROGS sur les jeux de données de la formation (16S et ITS) et sauront utiliser l’application Easy16S.\r\n\r\nIls seront capables d’identifier les outils et méthodes adaptées au cadre de leurs analyses. S’ils ont en leur possession un jeu de données à analyser, ils sont encouragés à venir avec celui- ci.\r\n\r\nProgramme :\r\n\r\n\r\nAnalyses bioinformatiques sous Galaxy\r\n\r\n    Introduction générale sur les données amplicons\r\n    Présentation et mise en application avec la suite FROGS du nettoyage des données, du clustering, de la détection de chimères, de l’assignation taxonomique et des étapes annexes\r\n    Conclusion, limite des méthodes, outils compagnons\r\n\r\nAnalyses statistiques avec Easy16S\r\n\r\n    Introduction générale\r\n    Import, manipulation et visualisation des données\r\n    Mesure de diversités : Unifrac, Bray-Curtis, etc.\r\n    Ordination et réduction de dimension : MDS\r\n    Clustering et Heatmap\r\n    Comparaison d’échantillons : PERMANOVA, adonis\r\n\r\nMise en application sur données personnelles ou publiques",
            "homepage": "https://documents.migale.inrae.fr/trainings.html",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [
                "http://edamontology.org/topic_3697"
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                "Metabarcoding"
            ],
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                    "id": 82,
                    "name": "INRAE",
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                    "id": 88,
                    "name": "BioinfOmics",
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            ],
            "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png",
            "updated_at": "2026-02-12T10:55:22.536502Z",
            "type": "Training course",
            "start_date": "2026-06-08",
            "end_date": "2026-06-11",
            "venue": "",
            "city": "Jouy-en-Josas",
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        {
            "id": 608,
            "name": "LINUX - session 22/04/2024",
            "shortName": "",
            "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": "http://bioinfo.genotoul.fr/index.php/events/linux-2-2/",
            "is_draft": false,
            "costs": [
                "Non-academic: 550€ + 20% taxes (TVA)",
                "Academic but non-INRAE: 170 € + 20% taxes (TVA)",
                "For INRAE's staff: 150 € no VAT charged;"
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            "topics": [
                "http://edamontology.org/topic_3316"
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                "none"
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                    "id": 37,
                    "name": "MIAT - Mathématiques et Informatique Appliquées de Toulouse",
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            ],
            "logo_url": "http://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png",
            "updated_at": "2024-03-26T14:24:31.157055Z",
            "type": "Training course",
            "start_date": "2024-04-22",
            "end_date": "2024-04-22",
            "venue": "",
            "city": "Castanet Tolosan",
            "country": "France",
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                    "id": 137,
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                    "id": 138,
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        {
            "id": 780,
            "name": "Analyse de données métagénomiques shotgun / shotgun metagenomics - 2026",
            "shortName": "Shotgun metagenomics 2026",
            "description": "Objectifs pédagogiques\r\n\r\nCette formation est dédiée à l’analyse de données métagénomiques procaryotes de type « shotgun » issues de la technologie de séquençage Illumina. Nous présenterons les étapes bioinformatiques nécessaires pour nettoyer les données brutes et les caractériser d’un point de vue taxonomique. Nous aborderons ensuite les différentes stratégies à employer pour assembler les reads et obtenir des comptages sur des gènes prédits. Enfin nous présenterons quelques outils pour obtenir une annotation fonctionnelle des échantillons. A l’issue des 2 jours de formation, les stagiaires connaîtront le périmètre, les avantages et limites des analyses de données de séquençage shotgun. Ils seront capables d’utiliser les outils présentés sur les jeux de données de la formation. L’ensemble des TP se déroulera sur l’infrastructure de Migale et nécessite une pratique courante de la ligne de commande.\r\n\r\nProgramme\r\n\r\nIntroduction générale sur les données métagénomiques\r\nAssignation taxonomique\r\nNettoyage des données brutes\r\nAssemblage / Binning\r\nPrédiction de gènes procaryotes\r\nAnnotation fonctionnelle\r\nConclusion, limites des méthodes",
            "homepage": "https://documents.migale.inrae.fr/trainings.html",
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            "topics": [
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                "Metagenomics"
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                "Linux/Unix",
                "Cluster"
            ],
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                    "id": 88,
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            ],
            "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png",
            "updated_at": "2026-02-12T10:21:23.055473Z",
            "type": "Training course",
            "start_date": "2026-05-20",
            "end_date": "2026-05-21",
            "venue": "",
            "city": "Jouy-en-Josas",
            "country": "France",
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        {
            "id": 760,
            "name": "EB3I - Ecole de Bioinformatique niveau débutant 2026",
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            "description": "Description : La formation EB3I IFB, INSERM et INRAe 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\n\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=47",
            "is_draft": false,
            "costs": [
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            "keywords": [
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                "Sequence analysis",
                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "La formation s’adresse à des biologistes directement impliqués dans des projets “Next Generation Sequencing” (NGS). \r\nAucune connaissance préalable des environnements Linux ou R n’est requise, mais il sera demandé aux participants de suivre une autoformation en ligne en amont, pour faciliter la prise en main de ces langages. La formation approfondira progressivement l’usage de ces environnements au fil des sessions thématiques.",
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                    "name": "Inserm",
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            "homepage": "https://documents.migale.inrae.fr/trainings.html",
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            "description": "The Toulouse Genotoul bioinformatics platform, in collaboration with the Genotoul Biostatistics platform, and the MIAT unit, organize a 3,5 days long training course for bio-informaticians and biologists aiming at learning sequence analysis. It focuses on (protein coding) gene expression analysis using reads produced by ‘RNA-Seq’. This training session is designed to introduce sequences from ‘NGS’ (Next Generation Sequencing), particularly Illumina platforms (HiSeq). You will discover the standards file formats, learn about the usual biases of this type of data and run different kinds of analyses, such as spliced alignment on a reference genome, novel gene and transcript discovery, expression quantification of coding genes and transcripts. Finally you will be able to extract the differentially expressed genes.",
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            ],
            "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png",
            "updated_at": "2026-02-12T10:30:53.467274Z",
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