Handles creating, reading and updating events.

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            "name": "NGS data analysis on the command line - Session 7",
            "shortName": "NGS-analysis-cli - session7",
            "description": "This hands-on course will teach bioinformatic approaches for analyzing Illumina sequencing data. Our goal is to introduce the command line skills you need to make the most of your NGS data. \r\nDuring this 4-day training we will first introduce the Linux environment, shell commands and basic R scripting.  And then we will focus on two NGS data analyses -- small RNA-seq and RNA-seq -- based on published datasets from the model organism Arabidopsis thaliana",
            "homepage": "https://www.ibmp.cnrs.fr/bioinformatics-trainings/",
            "is_draft": false,
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                "Free to academics"
            ],
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                "http://edamontology.org/topic_3168",
                "http://edamontology.org/topic_2269",
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                "none"
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            "updated_at": "2024-12-04T16:36:11.548859Z",
            "type": "Training course",
            "start_date": "2025-03-03",
            "end_date": "2025-03-07",
            "venue": "",
            "city": "Strasbourg",
            "country": "",
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            "id": 800,
            "name": "LINUX - 28 septembre 2026",
            "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": "https://bioinfo.genotoul.fr/index.php/events/linux-2-2/",
            "is_draft": false,
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                "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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                "http://edamontology.org/topic_3316"
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                    "name": "MIAT - Mathématiques et Informatique Appliquées de Toulouse",
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            "logo_url": "https://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png",
            "updated_at": "2026-04-20T08:19:30.914358Z",
            "type": "Training course",
            "start_date": "2026-09-28",
            "end_date": "2026-09-28",
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            "id": 469,
            "name": "Linux For Jedi - April 2022",
            "shortName": "",
            "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.",
            "homepage": "https://southgreenplatform.github.io/trainings/linuxJedi/",
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            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2022-04-19",
            "end_date": "2022-04-21",
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            "name": "Introduction to python - May 2022",
            "shortName": "",
            "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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            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2022-05-16",
            "end_date": "2022-05-20",
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            "id": 738,
            "name": "Soumission de données et métadonnées à BioSample et ENA - 2025",
            "shortName": "FAIR Data EBI 2025",
            "description": "Nous vous proposons une formation en ligne sur le processus et les outils mis en place dans le cadre des projets AgroDiv et BReIF pour soumettre des données à ENA (EMBL-EBI) associées à des descriptions riches des échantillons séquencés dans BioSamples. Le webinaire abordera une explication approfondie des fichiers d'entrée requis pour la soumission, des champs demandés dans les template ainsi qu'une démonstration de l'utilisation des scripts développés pour automatiser la soumission des données et simplifier le processus.",
            "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=44",
            "is_draft": false,
            "costs": [
                "Free"
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                "http://edamontology.org/topic_3366",
                "http://edamontology.org/topic_0219",
                "http://edamontology.org/topic_0625",
                "http://edamontology.org/topic_0780",
                "http://edamontology.org/topic_0091"
            ],
            "keywords": [
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            "prerequisites": [
                "none"
            ],
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            "updated_at": "2025-10-10T12:42:20.404551Z",
            "type": "Training course",
            "start_date": "2025-11-06",
            "end_date": "2025-11-06",
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            "city": "Online",
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        {
            "id": 802,
            "name": "Galaxy Beyond Basics: Mastering Workflows, Automation, and Scalability 2026",
            "shortName": "Galaxy avancée 2026",
            "description": "Join us for an intensive, week-long, in-person training designed to elevate your Galaxy expertise to new heights. This workshop is tailored for data scientists, advanced Galaxy users, and team leaders who need to scale, automate, and publish their data analysis workflows for batch processing and production-level applications.\r\n\r\nOver five days, you’ll embark on a comprehensive journey through Galaxy’s advanced capabilities:\r\n\r\nMonday: Introduction & Workflow Development\r\n\r\nStart with a welcome and icebreaker to foster collaboration, followed by a brief overview of Galaxy and its workflow features. Dive into hands-on workflow development, where you’ll learn to design clean, efficient workflows, customize them with parameters, and generate user-friendly workflow reports—combining theory with practical application.\r\n\r\nTuesday: Workflow FAIRification, Documentation, and Export\r\n\r\nBegin with a recap of Day 1, then explore UseGalaxy.fr and its unique features. Learn to annotate workflows with metadata, apply best practices for FAIR compliance, and implement tests to ensure reliability. Publish your workflows to WorkflowHub and Dockstore via the IWC. Develop high-resolution workflow visualizations and create interactive tutorials using a “Choose Your Own Tutorial” approach. Finally, master workflow export by creating RO-Crates for reproducibility and submitting workflows to LifeMonitor for performance tracking.\r\n\r\nWednesday: Scaling Workflows & Galaxy Using Command-Line and API\r\n\r\nStart with a recap and real-world examples of large-scale Galaxy projects. Learn to execute workflows from the command line using Planemo, automate batch processing with shell scripts, and analyze performance for efficiency. Discover how to scale Galaxy use with BioBlend, designing Python scripts for batch workflow execution and evaluating scalability. The day concludes with an introduction to the “Bring Your Own Work” session.\r\n\r\nThursday: Bring Your Own Work (BYOW)\r\n\r\nDedicate the day to applying your new skills to your own projects. With guidance from trainers, refine your workflows, troubleshoot challenges, and implement solutions using your personal data. Collaborate with peers, document your progress, and optimize your workflows to leave with actionable results for your research.\r\n\r\nFriday: Storage, Data Management, Recap, and Closing\r\n\r\nThe final half-day begins with a recap of the week’s progress, followed by a session on “Bring Your Own Storage”, exploring how to integrate personal or institutional storage with Galaxy. Learn about managing databases in Galaxy and the IDC (Intergalactic Data Commission) effort for efficient data organization. The workshop concludes with a general recap, supplementary exercises, and feedback and closing remarks, ensuring you leave with a comprehensive understanding and resources for continued success.\r\n\r\nThis training will be conducted in French, while the materials (slides) will be in English.\r\n\r\nRequirements\r\n\r\nPrior knowledge and experience using Galaxy\r\nPrior knowledge and experience using command line\r\nFluent in French (materials will be in English and discussions will happen in French)\r\nYour own computer\r\nOptional but encouraged: your own workflow and dataset for the Bring Your Own Work (BYOW) session. The workflow and the dataset must be shareable and non-sensitive (i.e., they must not contain any patient-related information or confidential data). The dataset size must be small.",
            "homepage": "https://training.galaxyproject.org/training-material/events/2026-10-12-Advanced-Galaxy-Training.html#overview",
            "is_draft": false,
            "costs": [
                "700 euros HT"
            ],
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                "http://edamontology.org/topic_3316",
                "http://edamontology.org/topic_0769",
                "http://edamontology.org/topic_0091"
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                "Workflow development"
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            ],
            "logo_url": "https://training.galaxyproject.org/training-material/assets/images/GTN.png",
            "updated_at": "2026-06-16T15:50:42.378756Z",
            "type": "Training course",
            "start_date": "2026-10-12",
            "end_date": "2026-10-16",
            "venue": "",
            "city": "Paris",
            "country": "France",
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            "registration_opening": "2026-04-22",
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            "id": 572,
            "name": "Analyse de données métagénomiques shotgun / shotgun metagenomics (2024 session)",
            "shortName": "Shotgun metagenomics (2024)",
            "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",
            "is_draft": false,
            "costs": [
                "Priced"
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            "topics": [
                "http://edamontology.org/topic_3697"
            ],
            "keywords": [
                "Metagenomics"
            ],
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                "Cluster"
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            "accessConditions": "",
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            ],
            "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png",
            "updated_at": "2024-01-17T10:55:12.140373Z",
            "type": "Training course",
            "start_date": "2024-03-18",
            "end_date": "2024-03-19",
            "venue": "https://migale.inrae.fr/how-to-come",
            "city": "Jouy-en-Josas",
            "country": "France",
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        {
            "id": 583,
            "name": "Traitement bioinformatique et analyse différentielle de données d’expression RNA-seq sous Galaxy (session 2024)",
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            "homepage": "http://abims.sb-roscoff.fr/training/courses",
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            ],
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                "Linux",
                "Operating systems"
            ],
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                    "name": "SBR - Roscoff Marine Station",
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            ],
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            "updated_at": "2025-01-23T13:51:59.887045Z",
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            "end_date": "2024-05-28",
            "venue": "",
            "city": "Roscoff",
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            "name": "Cluster - 25 mars 2026",
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            "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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                "Cluster"
            ],
            "prerequisites": [
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            ],
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            "maxParticipants": 12,
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                    "id": 37,
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                    "id": 22,
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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": [
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                {
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            "registration_closing": "2026-02-10",
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        {
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            "name": "Analyse statistique de données RNA-Seq - Recherche des régions d’intérêt différentiellement exprimées - 2026",
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            "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",
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                "http://edamontology.org/topic_3170",
                "http://edamontology.org/topic_3308"
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            "keywords": [
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                "RNA-seq"
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            "prerequisites": [
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            ],
            "openTo": "Everyone",
            "accessConditions": "",
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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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            ],
            "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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            "computingFacilities": [],
            "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": [
                "http://edamontology.org/topic_0605"
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            "keywords": [
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            ],
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            "updated_at": "2024-01-17T11:04:05.427843Z",
            "type": "Training course",
            "start_date": "2024-03-21",
            "end_date": "2024-03-21",
            "venue": "https://migale.inrae.fr/how-to-come",
            "city": "Jouy-en-Josas",
            "country": "France",
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            "trainers": [
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                "https://catalogue.france-bioinformatique.fr/api/userprofile/743/?format=api"
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        {
            "id": 488,
            "name": "Exploration de la Diversité Taxonomique  des Ecosystèmes par Metabarcoding",
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            "description": "En matière de prospectives scientifiques, l’INSU OA, le CNRS et l’IRD ambitionnent de caractériser la biodiversité environnementale afin d’étudier l’impact du changement global sur les milieux et de l’anthropisation de la planète. Ces enjeux nécessitent l’acquisition de connaissances sur la biodiversité pour répondre aux grands défis planétaires (e.g. modéliser, anticiper, prévenir les catastrophes écologiques), aux objectifs de développement durable, et contribuer aux grandes transitions de la société dans un contexte de changement climatique.\r\n\r\nLe metabarcoding est aujourd’hui une des approches incontournable dans la description des écosystèmes pour répondre à ces enjeux scientifiques; elle offre une caractérisation exhaustive de la diversité taxonomique (composition en espèces et abondances) d’un écosystème via le séquençage massif de marqueurs d’intérêts (e.g. ARN ribosomaux 16S, 18S, gène COX, …) et le post-traitement bio-informatique des données générées.\r\n\r\nL’Action Nationale de Formation CNRS-INSU MetaBioDiv, portée par l’Institut Méditerranéen d’Océanologie (Armougom F., MIO) et la Délégation Régionale Côte d’Azur CNRS (DR20, Pierrette Finsac), propose à la communauté scientifique une formation sur la caractérisation de la biodiversité taxonomique d’écosystèmes (procaryotes et micro-eucaryotes) par le prisme du séquençage haut-débit Illumina (Miseq) et du traitement bio-informatique associé (outils R sous Rstudio).",
            "homepage": "https://anfmetabiodiv.mio.osupytheas.fr",
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            "end_date": "2022-09-09",
            "venue": "Village Club les Miléades",
            "city": "Carry le Rouet",
            "country": "France",
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}