Handles creating, reading and updating events.

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            "name": "Traitement bioinformatique et analyse différentielle de données d’expression RNA-seq sous Galaxy - 2026",
            "shortName": "Analyse données RNA-seq sous Galaxy 2026",
            "description": "Objectifs pédagogiques\r\nA l’issue de cette formation, vous serez capable, dans le cadre d’une analyse de données RNA- seq avec génome de référence et plan d’expérience simple :\r\n* de connaître le vocabulaire et les concepts bioinformatiques et biostatistiques ;\r\n* de savoir enchaîner de façon pertinente un ensemble d’outils bioinformatiques et biostatistiques dans l’environnement Galaxy ;\r\n* de comprendre le matériel et méthodes d’un article du domaine ;\r\n* d’évaluer la pertinence d’une analyse RNA-seq en identifiant les éléments clefs et comprendre les particularités liées à la nature des données.\r\n\r\nProgramme\r\nBioinformatique :\r\n* Obtenir des données de qualité : nettoyage, filtrage, qualité\r\n* Aligner les lectures sur un génome de référence\r\n* Détecter de nouveaux transcrits\r\n* Quantifier l’expression des gènes\r\n* Préparer et déployer unensemble d’analyses sur plusieurs échantillons\r\n\r\nBiostatistique :\r\n* Construire un plan d’expérience simple\r\n* Normaliser les données de comptage\r\n* Identifier les gènes différentiellements exprimés\r\n* Se sensibiliser aux tests multiples\r\n\r\nAnalyse de protocoles Bioinformatique et Biostatistiques issus de la littérature",
            "homepage": "https://documents.migale.inrae.fr/trainings.html",
            "is_draft": false,
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            "updated_at": "2026-02-12T10:21:56.410571Z",
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            "end_date": "2026-03-18",
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            "id": 792,
            "name": "Analyse de données de métabarcoding - 2026",
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            "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",
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            "updated_at": "2026-02-12T10:55:22.536502Z",
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            "name": "Linux For Jedi - April 2022",
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            "description": "This course offers to develop and enhance advanced Linux shell command line and scripting skills for the processing and analysis of NGS data. We will work on a HPC server and use linux powerful commands to allow to analyze big amount of biological data.",
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            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
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            "name": "Introduction to python - May 2022",
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            "description": "This course provides an introduction to programming using python. At the end of the training, participants should be able to write simple python programs to handle biological data and to understand more complex programs written by others.\r\nNote : This course in currently available only in french",
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        {
            "id": 719,
            "name": "LINUX - Novembre 18 2025",
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            "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;"
            ],
            "topics": [
                "http://edamontology.org/topic_3316"
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            "keywords": [],
            "prerequisites": [
                "none"
            ],
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                    "id": 37,
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            ],
            "logo_url": "http://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png",
            "updated_at": "2025-05-09T13:20:41.290573Z",
            "type": "Training course",
            "start_date": "2025-11-18",
            "end_date": "2025-11-18",
            "venue": "",
            "city": "castanet-tolosan",
            "country": "France",
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        {
            "id": 708,
            "name": "New session of Introduction à l'utilisation d'un cluster de calcul",
            "shortName": "",
            "description": "Knowledge of the concepts and best practices for using the computing resources of the mesocenter cluster Clermont Auvergne in a bioinformatics context.\r\nBecome familiar with the work environment of the computing cluster, become autonomous in the use of its resources and learn to use a scheduler. \r\nPresentation of the resources accessible on the cluster (computing nodes, storage spaces, tools).\r\nConcept of jobs, queues and parallel computing.\r\nJob management (submission, follow-up, deletion).",
            "homepage": "https://mesocentre.uca.fr/",
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                "http://edamontology.org/topic_0605",
                "http://edamontology.org/topic_0091"
            ],
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            "prerequisites": [
                "Linux and knowledge of NGS formats"
            ],
            "openTo": "Internal personnel",
            "accessConditions": "Have an account on the Mesocentre UCA computing cluster (make a request if necessary on the site https://hub.mesocentre.uca.fr)\r\nAlternation of theoretical courses and practical work.\r\nCOME WITH A LAPTOP with an operational Eduroam connection.\r\nThe training is in French.",
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                    "id": 94,
                    "name": "University Clermont Auvergne",
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                    "id": 31,
                    "name": "AuBi",
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            "logo_url": "https://mesocentre.uca.fr/medias/photo/logoaubi-2019minus_1553844844490-jpg?ID_FICHE=41175",
            "updated_at": "2025-02-17T13:03:10.078913Z",
            "type": "Training course",
            "start_date": "2025-04-16",
            "end_date": "2025-04-16",
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            "city": "Clermont-Ferrand",
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        {
            "id": 572,
            "name": "Analyse de données métagénomiques shotgun / shotgun metagenomics (2024 session)",
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            "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",
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            "topics": [
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            "updated_at": "2024-01-17T10:55:12.140373Z",
            "type": "Training course",
            "start_date": "2024-03-18",
            "end_date": "2024-03-19",
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            "city": "Jouy-en-Josas",
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        {
            "id": 583,
            "name": "Traitement bioinformatique et analyse différentielle de données d’expression RNA-seq sous Galaxy (session 2024)",
            "shortName": "Analyse données RNA-seq sous Galaxy (2024)",
            "description": "Objectifs pédagogiques\r\nA l’issue de cette formation, vous serez capable, dans le cadre d’une analyse de données RNA- seq avec génome de référence et plan d’expérience simple :\r\n* de connaître le vocabulaire et les concepts bioinformatiques et biostatistiques ;\r\n* de savoir enchaîner de façon pertinente un ensemble d’outils bioinformatiques et biostatistiques dans l’environnement Galaxy ;\r\n* de comprendre le matériel et méthodes d’un article du domaine ;\r\n* d’évaluer la pertinence d’une analyse RNA-seq en identifiant les éléments clefs et comprendre les particularités liées à la nature des données.\r\n\r\nProgramme\r\nBioinformatique :\r\n* Obtenir des données de qualité : nettoyage, filtrage, qualité\r\n* Aligner les lectures sur un génome de référence\r\n* Détecter de nouveaux transcrits\r\n* Quantifier l’expression des gènes\r\n* Préparer et déployer unensemble d’analyses sur plusieurs échantillons\r\n\r\nBiostatistique :\r\n* Construire un plan d’expérience simple\r\n* Normaliser les données de comptage\r\n* Identifier les gènes différentiellements exprimés\r\n* Se sensibiliser aux tests multiples\r\n\r\nAnalyse de protocoles Bioinformatique et Biostatistiques issus de la littérature",
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            "id": 623,
            "name": "Linux - Initiation / Linux for Beginners - 2024",
            "shortName": "Linux Init - 2024",
            "description": "Objectifs :\r\n- Être capable de se connecter à une machine Linux\r\n- Être capable de transférer des fichiers à partir de/vers une machine Linux\r\n- Être capable de naviguer dans le système de fichiers\r\n- Être capable d’examiner le contenu d’un fichier et de gérer l’espace disque\r\n- Être capable de gérer les droits d’accès aux répertoires et aux fichiers.\r\n- Être capable de gérer le lancement, l’interruption et l’arrêt de processus",
            "homepage": "http://abims.sb-roscoff.fr/training/courses",
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            ],
            "topics": [
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            ],
            "keywords": [
                "Linux",
                "Operating systems"
            ],
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                    "id": 65,
                    "name": "SBR - Roscoff Marine Station",
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            ],
            "organisedByTeams": [
                {
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                    "name": "ABiMS",
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            ],
            "logo_url": "https://abims.sb-roscoff.fr/sites/default/files/abims.png",
            "updated_at": "2025-01-23T13:51:59.887045Z",
            "type": "Training course",
            "start_date": "2024-05-28",
            "end_date": "2024-05-28",
            "venue": "",
            "city": "Roscoff",
            "country": "France",
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        {
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            "name": "Cluster - 25 mars 2026",
            "shortName": "",
            "description": "This training session is designed to help you deal with the platform compute cluster and data banks. You will launch your first processing batch on the cluster and will learn how to track and manage them. Organized jointly by the Sigenae and bioinfo genotoul platforms.",
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                "Academic but non-INRAE: 170 € + 20% taxes (TVA)",
                "For INRAE's staff: 150 € no VAT charged;"
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            "keywords": [
                "Linux",
                "Cluster"
            ],
            "prerequisites": [
                "Linux/Unix"
            ],
            "openTo": "Everyone",
            "accessConditions": "You need to register (via the website) and pay 170 euros a day for academic and 550 euros a day for a private.",
            "maxParticipants": 12,
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                "https://catalogue.france-bioinformatique.fr/api/userprofile/739/?format=api"
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                {
                    "id": 37,
                    "name": "MIAT - Mathématiques et Informatique Appliquées de Toulouse",
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            ],
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                {
                    "id": 22,
                    "name": "Genotoul-bioinfo",
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            ],
            "logo_url": "https://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png",
            "updated_at": "2026-02-02T09:41:07.174427Z",
            "type": "Training course",
            "start_date": "2026-03-25",
            "end_date": "2026-03-25",
            "venue": "",
            "city": "Castanet-Tolosan",
            "country": "France",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [
                {
                    "id": 140,
                    "name": "Cluster TP - Genotoul-bioinfo",
                    "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Cluster%20TP%20-%20Genotoul-bioinfo/?format=api"
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                {
                    "id": 139,
                    "name": "Cluster Slides - Genotoul-bioinfo",
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            "realisation_status": "past",
            "registration_opening": "2026-01-14",
            "registration_closing": "2026-02-10",
            "registration_status": "closed",
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        },
        {
            "id": 786,
            "name": "Analyse statistique de données RNA-Seq - Recherche des régions d’intérêt différentiellement exprimées - 2026",
            "shortName": "Analyse statistique de données RNA-Seq 2026",
            "description": "Objectifs pédagogiques\r\n* Se sensibiliser aux concepts et méthodes statistiques pour l’analyse de données transcriptomiques de type RNA-Seq.\r\n* Comprendre le matériel et méthodes (normalisation et tests statistiques) d’un article.\r\n* Réaliser une étude transcriptomique avec R dans l’environnement RStudio.\r\n\r\nProgramme\r\n* Planification expérimentale des expériences RNA-Seq (identification des biais, répétitions, biais contrôlables).\r\n* Normalisation et analyse différentielle : recherche de “régions d’intérêt” différentiellement exprimées (modèle linéaire généralisé).\r\n*Prise en compte de la multiplicité des tests.\r\n\r\nLe cours sera illustré par différents exemples. Un jeu de données à deux facteurs sera analysé avec les packages R DESeq2 et edgeR dans l’environnement RStudio.",
            "homepage": "https://documents.migale.inrae.fr/trainings.html",
            "is_draft": false,
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                "http://edamontology.org/topic_0203",
                "http://edamontology.org/topic_3308"
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            "keywords": [
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                "RNA-seq"
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                "Basic knowledge of R"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 10,
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                    "id": 82,
                    "name": "INRAE",
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                {
                    "id": 88,
                    "name": "BioinfOmics",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=api"
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                    "name": "MIGALE",
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            ],
            "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png",
            "updated_at": "2026-02-12T10:29:38.805654Z",
            "type": "Training course",
            "start_date": "2026-05-18",
            "end_date": "2026-05-19",
            "venue": "",
            "city": "Jouy-en-Josas",
            "country": "France",
            "geographical_range": "",
            "trainers": [],
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            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": "2026-05-04",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 573,
            "name": "Introduction aux bonnes pratiques pour des analyses reproductibles (2024 session)",
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            "description": "Objectifs pédagogiques\r\n\r\nL’objectif de cette formation est d’initier les apprenants aux bonnes pratiques pour la reproductibilité des analyses. Ils apprendront à rédiger des rapports d’analyse en R Markdown et à les déposer sur un dépôt GitHub. Les principes FAIR (faciles à trouver, accessibles, interopérables et réutilisables) et les bases de la rédaction de PGD (plans de gestion de données) seront également présentés. Durant la formation, nous utiliserons RStudio et GitHub.\r\n\r\nProgramme\r\n\r\nPrincipes et enjeux de la recherche reproductible\r\nUtilisation de GitHub\r\nGestion des versions d’un document\r\nRédaction de document computationnel\r\nPartage d’un rapport avec ses collaborateurs\r\nPrincipes FAIR et PGD",
            "homepage": "https://documents.migale.inrae.fr/trainings.html",
            "is_draft": false,
            "costs": [
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            ],
            "topics": [
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            ],
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            "updated_at": "2024-01-17T11:04:05.427843Z",
            "type": "Training course",
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            "end_date": "2024-03-21",
            "venue": "https://migale.inrae.fr/how-to-come",
            "city": "Jouy-en-Josas",
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}