Handles creating, reading and updating training events.

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            "name": "Les langages de workflows pour une analyse bioinformatique reproductible / Workflow languages for reproducible bioinformatics analysis",
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            "description": "Bilille propose un cycle de découverte de la bioinformatique à destination des chercheur·euses, enseignant·es-chercheur·euses, ingénieur·es, technicien·nes et doctorant·es en biologie. Aucun pré-requis en informatique n'est attendu.\r\nLe cycle est constitué de quatre modules de deux jours:\r\n- Banques de données et BLAST\r\n- Alignement de séquences\r\n- Prédiction de gènes et annotation de protéines\r\n- Initiation à la reconstruction phylogénétique en biologie moléculaire\r\nCes modules peuvent être suivis indépendamment, mais ont une cohérence. Suivre chaque module peut aider à une meilleure compréhension des modules suivants.\r\nLes fiches descriptives des différents modules sont accessibles sur le site web de Bilille.\r\nLes objectifs du module 1 sont :\r\n- Découvrir différentes banques de données de séquences généralistes\r\n- Savoir interroger les banques de données et réaliser des requêtes pertinentes\r\n- Comprendre la structure des données\r\n- Savoir utiliser de manière optimale le logiciel Blast en fonction de l'application visée (ex : recherche d’homologie, prédiction de gènes…)\r\n- Etre capable d'analyser un résultat avec un regard critique",
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            "description": "Researchers often have access to or generate multiple omics data (RNAseq, metabolomics, lipidomics, proteomics…) within a single study. Although each omics data is usually analyzed individually, combining complementary data can yield a better understanding of the mechanisms involved in biological processes. Several integrative approaches are now available to combine such data, coming essentially from two families of methods, namely multivariate statistical analyses and network-based approaches. During this summer school both methodologies will be covered, introducing RGCCA and mixOmics for multivariate analyses and WGCNA and SNF for network-based strategies. To get meaningful biological information, the interpretation of statistical results needs to be done contextualizing them in the available biological knowledge. To address this major step we need to be able to access and interrogate databases. We will harness this subject introducing semantic web and knowledge graphs in the context of metabolic networks.\r\n\r\nDuring the School, significant time will be devoted to hands-on and the program will be divided into three phases / topics:\r\n- Multivariate statistical analyses (Instructors: Arnaud Gloaguen & Jimmy Vandel)\r\n- Network-based approaches (Instructors: Morgane Térézol & Marie-Galadriel Brière)\r\n- Results contextualisation: an introduction to metabolic models, web semantic and knowledge graphs (Instructors: Jean-Clément Gallardo, Maxime Delmas & Marco Pagni)\r\n\r\nThe participants will work in groups and shortly present the application of what they have learned to their own project.",
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            "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).",
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            "id": 29,
            "name": "Initiation à Python",
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            "description": "\nObjectifs\n\nInitiation à la programmation.\nRéalisation de tâches simples d'extractions d'informations.\nIdentifier les possibilités offertes par l'écriture de quelques lignes de codes.\n \n\n \n \n \n \nProgramme\n\n• Présentation de Python\n• Variables Python\n• Structures de contrôle\n• Réalisation de programmes simples\n• Gestion de fichiers\n• Fonctions\nIllustration avec des exercices de manipulation de fichiers de séquences\n",
            "homepage": "http://migale.jouy.inra.fr/",
            "is_draft": false,
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            "keywords": [
                "Programming Languages & Computer Sciences",
                "Python Language"
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            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "Ce cycle est ouvert à l'ensemble des agents de l'INRA et aux extérieurs.\n",
            "maxParticipants": null,
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            "logo_url": "",
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            "id": 72,
            "name": "Galaxy : Reads alignment and SNP calling",
            "shortName": "",
            "description": "As the command line training but with Galaxy. Organized jointly by the Sigenae and bioinfo genotoul platforms.\n",
            "homepage": "http://bioinfo.genotoul.fr/index.php/events/reads-alignment-and-small-size-varia…",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "NGS Data Analysis",
                "Galaxy",
                "Variant analysis",
                "Genomics (DNA-seq)",
                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "You need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private\n",
            "maxParticipants": null,
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        },
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            "id": 71,
            "name": "Galaxy : first step",
            "shortName": "",
            "description": "Galaxy is a workbench available for biologists from Sigenae Platform. Galaxy objectives are:\n    First, making bioinfo Linux tools accessible to biologists.\n    Then, it is possible to add Linux tools by developpers into Galaxy workbench.\n    Then, Galaxy is used to hide the complexity of the infrastructure and to allow creation, execution and sharing of workflows.\nYou will acquire the following competencies required for the other Galaxy trainning:\n    Login to Galaxy: Galaxy Workbench (To access to Galaxy, you need to have an LDAP Genotoul login and password).\n    Begin to use some tools provided (BWA, SAM tools, FastQC).\n    Work on files.\nOrganized jointly by the Sigenae and the Bioinfo Genotoul platform.\n",
            "homepage": "http://bioinfo.genotoul.fr/index.php/events/first-step-with-galaxy/",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "Web portals",
                "Galaxy",
                "Interfaces",
                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "You need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private.\n",
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        },
        {
            "id": 77,
            "name": "Formation de chercheurs",
            "shortName": "",
            "description": " lors de Workshop (organisation de séances de travaux pratiques)\n pour des formations individuelles\n",
            "homepage": "",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "Metagenomics"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
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            "maxParticipants": null,
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        },
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            "id": 78,
            "name": "Formation des post-doctorants",
            "shortName": "",
            "description": "Pour la recherche et l’annotation des IS.\n",
            "homepage": "",
            "is_draft": false,
            "costs": [],
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            "keywords": [
                "Metagenomics"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
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            "maxParticipants": null,
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            "id": 28,
            "name": "Initiation à R",
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            "homepage": "http://migale.jouy.inra.fr/",
            "is_draft": false,
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            "keywords": [
                "Programming Languages & Computer Sciences",
                "R Language"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "Ce cycle est ouvert à l'ensemble des agents de l'INRA et aux extérieurs.\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
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        },
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            "id": 30,
            "name": "Python avancé",
            "shortName": "",
            "description": "\nObjectifs\n\nEtre autonome pour des manipulations simples visant à extraire, reformater des données issues de fichiers texte.\n \n\n \n \n \n \nProgramme\n\n- Expressions régulières\n- Gestion des erreurs\n- Biopython\n- Réalisation de programmes simples\n",
            "homepage": "http://migale.jouy.inra.fr/",
            "is_draft": false,
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            "sponsoredBy": [],
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            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.812642Z",
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