Handles creating, reading and updating training events.

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            "name": "Linux for Dummies",
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            "description": "This course offers an introduction to work with Linux. We will describe the Linux environment, the first linux commands so participants can start to utilize command-line tools and feel comfortable using bioinformatics softwares through a linux terminal",
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            "updated_at": "2023-12-04T15:05:31.847400Z",
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            "id": 379,
            "name": "Manipulating  & Visualizing Data with R",
            "shortName": "R - DataViz",
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            "updated_at": "2025-02-21T08:47:18.779528Z",
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            "name": "HOW TO RUN A NF-CORE NEXTFLOW WORKFLOW ON GENOTOUL ?",
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            "name": "Initiation à Galaxy / Galaxy Initiation",
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            "name": "Introduction to Linux",
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            "name": "Environments and best practices for using the BiRD cluster",
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            "name": "Développement d’une application avec R Shiny /",
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            "description": "Objectifs pédagogiques\r\n\r\nÀ l’issue de la formation, les stagiaires connaîtront les principes de bases et le fonctionnement du package “Shiny”. Ils et elles seront capables de créer leurs premières applications web interactives à partir de scripts R. Les solutions de déploiement d’applications Shiny seront également abordées.\r\n\r\nProgramme\r\n\r\nPrincipes généraux et fonctionnement d’une application Shiny\r\nDéveloppement d’applications Shiny\r\nDéploiement d’applications Shiny",
            "homepage": "https://documents.migale.inrae.fr/trainings.html",
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            "topics": [
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            "updated_at": "2024-01-18T13:14:32.711762Z",
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            "shortName": "Initiation à Linux",
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            "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png",
            "updated_at": "2024-01-18T14:43:04.391836Z",
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            "name": "Graphiques sous R avec ggplot2 / Graphics with R-ggplot2",
            "shortName": "ggplot2",
            "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.",
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            "name": "Introduction aux bonnes pratiques pour des analyses reproductibles",
            "shortName": "Good practices for better reproducibility of analyses",
            "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": [
                "Priced"
            ],
            "topics": [
                "http://edamontology.org/topic_0605"
            ],
            "keywords": [
                "Reproducibility"
            ],
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            "openTo": "Everyone",
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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": "2024-01-18T13:15:23.269149Z",
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            "difficultyLevel": "Novice",
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            "learningOutcomes": "L’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.",
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        },
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            "id": 298,
            "name": "LINUX",
            "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)",
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            ],
            "topics": [
                "http://edamontology.org/topic_3316"
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            "prerequisites": [
                "none"
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            ],
            "logo_url": "http://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png",
            "updated_at": "2024-06-05T08:59:07.762580Z",
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            "audienceRoles": [
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            "difficultyLevel": "Novice",
            "trainingMaterials": [],
            "learningOutcomes": "You will learn to access the platform genotoul bioinfo 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.",
            "hoursPresentations": 3,
            "hoursHandsOn": 3,
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            "personalised": null,
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                "https://catalogue.france-bioinformatique.fr/api/event/608/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/447/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/667/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/632/?format=api",
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        },
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            "id": 284,
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            "description": "Objectifs pédagogiques\r\nConnaître les concepts et méthodes bioinformatiques utilisés pour l’analyse primaire de données issues de séquenceurs nouvelle génération (NGS). Savoir effectuer un alignement sur un génome de référence, un assemblage de novo d’un génome bactérien\r\n\r\nProgramme\r\nThéorie\r\n* Présentation des différents types de technologies de séquençage (lectures longues et courtes)\r\n\r\nPratique : Analyse des données de séquençage d’un génome bactérien\r\n* Contrôle qualité\r\n* Assemblage de-novo\r\n* Nettoyage des données\r\n* Assemblage\r\n* Visualisation et statistiques sur l’assemblage\r\n* Alignement de lectures sur un génome de référence et visualisation\r\nTous les TPs seront réalisés sous l’environnement d’exécution de traitements Galaxy.",
            "homepage": "https://documents.migale.inrae.fr/trainings.html",
            "is_draft": false,
            "costs": [
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            ],
            "topics": [
                "http://edamontology.org/topic_0092",
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                "http://edamontology.org/topic_0196",
                "http://edamontology.org/topic_3168"
            ],
            "keywords": [
                "Galaxy",
                "NGS"
            ],
            "prerequisites": [
                "Galaxy - Basic usage"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 10,
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                    "id": 88,
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            "updated_at": "2024-01-18T13:51:11.796060Z",
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            "hoursPresentations": 3,
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            "id": 303,
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                "Master"
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            "openTo": "Internal personnel",
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            ],
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                    "id": 23,
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            "logo_url": null,
            "updated_at": "2022-06-02T11:50:50.812642Z",
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        },
        {
            "id": 302,
            "name": "Initiation à la ligne de commande",
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            "homepage": "https://mesocentre.uca.fr/",
            "is_draft": false,
            "costs": [
                "Free to academics"
            ],
            "topics": [
                "http://edamontology.org/topic_0091",
                "http://edamontology.org/topic_0605"
            ],
            "keywords": [],
            "prerequisites": [
                "Licence"
            ],
            "openTo": "Everyone",
            "accessConditions": "Avoir un compte sur le cluster de calcul du Mésocentre Clermont Auvergne (faire une demande le cas échéant sur le site\r\nhttps://hub.mesocentre.uca.fr)\r\nVENIR AVEC UN ORDINATEUR PORTABLE muni d’une connexion à Eduroam opérationnelle.",
            "maxParticipants": 10,
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                    "id": 45,
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            ],
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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": "2025-02-17T12:44:35.172676Z",
            "audienceTypes": [
                "Professional (initial)"
            ],
            "audienceRoles": [
                "Life scientists",
                "Biologists"
            ],
            "difficultyLevel": "Novice",
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                "https://catalogue.france-bioinformatique.fr/api/event/615/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/707/?format=api"
            ]
        },
        {
            "id": 359,
            "name": "Comparaison de génomes microbiens",
            "shortName": "Comparaison de génomes microbiens",
            "description": "Objectifs pédagogiques\r\nConnaître les concepts et les principales méthodes bioinformatiques pour comparer un jeu de données de génomes microbiens. Construire et évaluer la qualité d’un jeu de données. Savoir mettre en œuvre une comparaison de génomes et en interpréter les résultats.\r\n\r\nProgramme\r\n* Construction d’un jeu de données :\r\n* Téléchargement de données publiques\r\n* Evaluation de la qualité\r\n* Caractérisation de la diversité génomique\r\n* Stratégies de comparaison :\r\n* Construction de famille de protéines\r\n* Alignement de génomes complets\r\n* Analyse des résultats :\r\n   o Notion de core et pan-génome\r\n   o Notions élémentaires de phylogénomique\r\n   o Visualisation et interprétation des résultats\r\n* Mise en pratique sur un jeu de données bactériens, utilisation des logiciels dRep et Roary sous Galaxy.",
            "homepage": "https://documents.migale.inrae.fr/trainings.html",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [
                "http://edamontology.org/topic_0622",
                "http://edamontology.org/topic_3299"
            ],
            "keywords": [
                "Comparative genomics"
            ],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 10,
            "contacts": [
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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": "2024-01-18T14:13:49.810934Z",
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            ],
            "audienceRoles": [
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            ],
            "difficultyLevel": "Novice",
            "trainingMaterials": [],
            "learningOutcomes": "Connaître les concepts et les principales méthodes bioinformatiques pour comparer un jeu de données de génomes microbiens. \r\nConstruire et évaluer la qualité d’un jeu de données. \r\nSavoir mettre en œuvre une comparaison de génomes et en interpréter les résultats.",
            "hoursPresentations": 3,
            "hoursHandsOn": 3,
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            "personalised": null,
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                "https://catalogue.france-bioinformatique.fr/api/event/696/?format=api",
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        },
        {
            "id": 289,
            "name": "Introduction to galaxy: looking for variants in prokaryotes",
            "shortName": "Introduction to galaxy",
            "description": "This course will focus on the technical aspects of using a galaxy server. Accessible without any prerequisite in computer science, it will allow you to master the different fundamental tools of galaxy and will open the doors of bioinformatics analysis for your different projects.\r\nDifferent questions will be addressed through an example of variants analysis in a prokaryotic organism. At the end of this course, on any accessible galaxy instance, you will be able to:\r\n- upload your data\r\n- map them on a reference genome\r\n- find the variants (SNPs) and analyze the results\r\n- generate, manipulate and share your workflows, data and histories\r\n- find the right tools for other analyses and use them in your own project.\r\n\r\nUnless all participants speak French, the course will be taught in English.",
            "homepage": "https://pliniuscursus.univ-amu.fr/formation/galaxy-platform/",
            "is_draft": false,
            "costs": [
                "Free to academics"
            ],
            "topics": [
                "http://edamontology.org/topic_0091",
                "http://edamontology.org/topic_0622"
            ],
            "keywords": [],
            "prerequisites": [
                "Master"
            ],
            "openTo": "Internal personnel",
            "accessConditions": "The first sessions are only available for IM2B students.",
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            ],
            "logo_url": null,
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            ],
            "difficultyLevel": "Novice",
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        },
        {
            "id": 296,
            "name": "Initiation à l’utilisation de Galaxy",
            "shortName": "Initiation Galaxy",
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            "homepage": "https://documents.migale.inrae.fr/trainings.html",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [
                "http://edamontology.org/topic_0605"
            ],
            "keywords": [
                "Galaxy"
            ],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 10,
            "contacts": [
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            ],
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            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 82,
                    "name": "INRAE",
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                {
                    "id": 88,
                    "name": "BioinfOmics",
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                }
            ],
            "organisedByTeams": [
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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": "2024-01-18T12:44:57.722597Z",
            "audienceTypes": [
                "Professional (continued)"
            ],
            "audienceRoles": [
                "All"
            ],
            "difficultyLevel": "Novice",
            "trainingMaterials": [],
            "learningOutcomes": "Cette formation propose une introduction sur l’interface utilisateur et les fonctionnalités générales d’une plateforme Galaxy.\r\n\r\nA l’issue de la formation, les apprenants seront en mesure de :\r\n* connaître les caractéristiques et le fonctionnement d’un portail Galaxy,\r\n* appliquer sur des cas concrets en bioinformatique,\r\n* être autonome dans le traitement de fichiers et l’exécution d’outils.",
            "hoursPresentations": 1,
            "hoursHandsOn": 5,
            "hoursTotal": 6,
            "personalised": null,
            "event_set": [
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            ]
        },
        {
            "id": 63,
            "name": "Cluster",
            "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.",
            "homepage": "http://bioinfo.genotoul.fr/index.php/events/cluster-2/",
            "is_draft": false,
            "costs": [
                "Priced",
                "Non-academic: 550€ + 20% taxes (TVA)",
                "Academic but non-INRAE: 170 € + 20% taxes (TVA)",
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