Handles creating, reading and updating events.

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        },
        {
            "id": 472,
            "name": "Workflow4metabolomics - 2021 session postponed to 2022, march",
            "shortName": "W4E 2021",
            "description": "Processing, statistical analysis, and annotation of metabolomics data is a complex task for experimenters since it involves many steps and requires a good knowledge of both the methodology and software tools. The Workflow4Metabolomics.org (W4M) online infrastructure provides a user-friendly and high-performance environment with advanced computational modules for building, running, and sharing complete workflows for LC-MS, GC-MS, FIA and NMR analysis. Such features are of major values for teaching computational metabolomics to experimenters, and previous courses using W4M since 2014 have been very successful.",
            "homepage": "https://workflow4metabolomics.org/w4e2021",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 20,
            "contacts": [
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            ],
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            "logo_url": null,
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2022-03-21",
            "end_date": "2022-03-25",
            "venue": "",
            "city": "Toulouse",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
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            "realisation_status": "past",
            "registration_opening": null,
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            "courseMode": "Onsite"
        },
        {
            "id": 381,
            "name": "Linux For Dummies",
            "shortName": "",
            "description": " \nThis 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.\nPrerequisites\nNo experience required\n\nProgram\nConnecting to a distant HPC\nNavigating through a Unix file system\nCreating and deleting files\nManipuling and filtering file text\nBasics searching for text within a file\n\n\nLearning objectives\nAfter this course, participants should be able to:\nConnect to a Unix / Linux system\nManipulate files and directories within the Linux system\nWork with text files\nRun programs from the command-line\n\n\nInstructors\nChristine Tranchant - christine.tranchant@ird.fr\nNdomassi Tando - ndomassi.tando@ird.fr\nBruno Granouillac - bruno.granouillac@ird.fr\nFrançois Sabot - francois.sabot@ird.fr\nGautier Sarah  - gautier.sarah@cirad.fr\n\n",
            "homepage": "https://southgreenplatform.github.io/trainings//linux/",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
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            "organisedByTeams": [
                {
                    "id": 24,
                    "name": "South Green",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/South%20Green/?format=api"
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            ],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2018-03-11",
            "end_date": null,
            "venue": "",
            "city": "Centre IRD, Montpellier",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
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            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
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            "courseMode": null
        },
        {
            "id": 282,
            "name": "Analyse de données metabarcoding",
            "shortName": "",
            "description": "Nous avons le plaisir de vous annoncer la tenue d'une formation sur l'analyse de données metabarcoding en mai 2018.\nCelle-ci vous proposera : \n- une formation complète à l'outil FROGS sous Galaxy\n- l'intervention de plusieurs experts du domaine avec exposés thématiques et tutoriaux \n- le tout sur 5j, du 14 au 18 mai prochain\nCette semaine thématique est co-organisée entre la cellule bioinformatique de l’ifremer à Brest, la plateforme MIGALE de Jouy et  la plate-forme ABiMS de Roscoff qui accueillera la formation.\nRetrouver les détails du programme ici : \nhttp://tiny.ifremer.fr/formation-metabarcoding-2018\nSi cette formation vous intéresse, merci de bien vouloir compléter le formulaire d'inscription (disponible dans le  lien ci-dessus).\n----------------------------------------\nWe are pleased to announce a training on metabarcoding data analysis in May 2018.\nThis one will propose to you:\n- complete training in the FROGS tool under Galaxy\n- the intervention of several experts in the field with thematic presentations and tutorials\n- all on  5days , from May 14 to 18\nThis theme week is co-organized with the IFREMER bioinformatic team (Brest) , the Migale bioinformatic platform(Jouy en Josas)  and  the ABiMS (Roscoff) bioinformatic platform and would take place in Roscoff..\nFind the details of the program here:\nhttp://tiny.ifremer.fr/formation-metabarcoding-2018\nIf you are interested in this training, please complete the registration form (see link above).\nTrainning will be in French with slides in English.\n",
            "homepage": "http://tiny.ifremer.fr/formation-metabarcoding-2018",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "Ecology",
                "Biodiversity",
                "Microbial ecology",
                "NGS Data Analysis",
                "Metagenomics",
                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "Dates et lieu\nDu 14 au 18 mai 2018\nStation Biologique de Roscoff\nPublic visé\nDoctorants, ITA, chercheurs, enseignants et ingénieurs impliqués dans des projets concrets d’analyse de données de metabarcoding.\nPré-requis\nAvoir une connaissance de l'environnement Galaxy et un projet d'analyse de données de metabarcoding.\nNombre de participants attendus\n18 participants.\nEtant donné le nombre limité de places pour cette formation, une sélection des participants sera réalisée dans le cas où nous aurions reçu plus de 18 candidatures.\nFrais d'inscription\n600€ HT (tarif unique)\nCes frais d'inscription comprennent les déjeuners et diners qui seront pris au restaurant Gulf Stream à Roscoff.\n",
            "maxParticipants": null,
            "contacts": [],
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            "communities": [],
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            "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/Pre%CC%81sentation1.jpg",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2018-05-13",
            "end_date": "2018-05-17",
            "venue": "",
            "city": "ROSCOFF",
            "country": "",
            "geographical_range": "",
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            "registration_closing": null,
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            "courseMode": null
        },
        {
            "id": 398,
            "name": "Analyse de séquences",
            "shortName": "",
            "description": "\n\n\nLes biologistes sont régulièrement confrontés à des gènes (ou des protéines) de fonctions inconnues ou mal annotés. Dans ce contexte, maîtriser quelques techniques basiques d’analyse de séquences peut se révéler d’une aide précieuse. \nL’objectif de cette formation est de présenter, au travers de l’utilisation de sites web spécialisés, quelques grands principes sur l’analyse de séquence. L’ensemble de la formation combine exposés théoriques (fondements méthodologiques des programmes) et applications pratiques (mise en relation des notions théoriques avec les paramètres des programmes et les résultats obtenus) pour permettre une utilisation autonome et critique de quelques logiciels d’analyse des séquences biologiques.\n\n\n\n",
            "homepage": "https://c3bi.pasteur.fr/training-analyse-de-sequences/",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [
                "Sequence analysis",
                "Comparative genomics"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2018-03-18",
            "end_date": "2018-03-22",
            "venue": "",
            "city": "Institut Pasteur",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
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            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
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            "id": 415,
            "name": "Introduction to Machine Learning Using R - 2021",
            "shortName": "",
            "description": "With the rise in high-throughput sequencing technologies, the volume of omics data has grown exponentially in recent times and a major issue is to mine useful knowledge from these data which are also heterogeneous in nature. Machine learning (ML) is a discipline in which computers perform automated learning without being programmed explicitly and assist humans to make sense of large and complex data sets. The analysis of complex high-volume data is not trivial and classical tools cannot be used to explore their full potential. Machine learning can thus be very useful in mining large omics datasets to uncover new insights that can advance the field of bioinformatics.\r\n\r\nThis 2-day course will introduce participants to the machine learning taxonomy and the applications of common machine learning algorithms to omics data. The course will cover the common methods being used to analyse different omics data sets by providing a practical context through the use of basic but widely used R libraries. The course will comprise a number of hands-on exercises and challenges where the participants will acquire a first understanding of the standard ML processes, as well as the practical skills in applying them on familiar problems and publicly available real-world data sets.",
            "homepage": "https://fpsom.github.io/2021-06-ml-elixir-fr/",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 30,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/556/?format=api"
            ],
            "elixirPlatforms": [],
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            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 8,
                    "name": "Elixir",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Elixir/?format=api"
                },
                {
                    "id": 4,
                    "name": "IFB - ELIXIR-FR",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 29,
                    "name": "IFB Core",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api"
                }
            ],
            "logo_url": "https://www.dissco.eu/wp-content/uploads/Elixir-Europe-logo-1.png",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2021-06-16",
            "end_date": "2021-06-17",
            "venue": "",
            "city": "",
            "country": "",
            "geographical_range": "International",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": "Online"
        },
        {
            "id": 305,
            "name": "RNASeq with Galaxy",
            "shortName": "",
            "description": "",
            "homepage": "",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
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            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
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            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2017-05-22",
            "end_date": "2017-05-23",
            "venue": "",
            "city": "Roscoff",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        }
    ]
}