Handles creating, reading and updating training events.

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            "id": 80,
            "name": "Bioinformatique pour le traitement de données de séquençage (NGS)",
            "shortName": "",
            "description": "\nLes objectifs sont :\n- Savoir choisir les outils d'analyse\n- Etre autonome pour effectuer un pipeline d'analyse\n- Comprendre les principes des méthodes d'analyse\n- Savoir manipuler les fichiers de séquences : préparation et filtration\n- Etre capable d'évaluer la qualité des données\n- Savoir analyser avec ou sans génome de référence\nhttps://cnrsformation.cnrs.fr/\n\n",
            "homepage": "http://cnrsformation.cnrs.fr/stage-17010-Bioinformatique-pour-le-traitement-de-d…",
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                "Methodology",
                "NGS Data Analysis",
                "Analysis of RNAseq data",
                "Assembly of genomes and transcriptomes",
                "Read alignment on genomes",
                "Variant analysis",
                "Complete genomes",
                "Transcriptomics (RNA-seq)",
                "Genomics (DNA-seq)",
                "NGS Sequencing Data Analysis"
            ],
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            "openTo": "Internal personnel",
            "accessConditions": "S'acquitter des frais d'inscription, notions de base en informatique : fichiers, répertoire..., notions du système linux et des lignes de commandes, niveau master\n",
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            "id": 16,
            "name": "Formations à la plate-forme Microscope",
            "shortName": "",
            "description": "The LABGeM team at Genoscope regularly organizes training courses dedicated to the analysis of bacterial genomes via the use of the MicroScope platform at the University of Évry.\n \nThe course \"Annotation and analysis of prokaryotic genomes using the MicroScope platform\" lasting 4.5 days is aimed at:\nacquiring theoretical and practical knowledge of genome annotation tools (structural and functional annotation, metabolic networks annotation)\nknowing how to interpret the results of functional annotation tools\nknowing how to carry out various comparative analyzes: analyzes of conserved syntenia, pan-genomes, phylogenetic and metabolic profiles\nlearning to interpret the results of metabolic network prediction tools and search for candidate genes for enzymatic activities\napplying those tools to the analysis of genomes of interest to the participants \nEach session is made up of half theory and half practical work. During the training, participants have the opportunity to work on their own data during practical work.\n \nThis training is aimed at doctoral students, engineers, researchers, experienced biological or medical laboratory technicians. It concerns both people who already have an annotation project on the MicroScope platform and wishing to deepen its use, as well as those wishing to learn microbial genomics.\n \n \nIn addition, if you are a user of the MicroScope platform and you have already followed the training \"Annotation and analysis of prokaryotic genomes using the MicroScope platform\" a few years ago we have implemented a new training , the \"MicroScope Platform - Advanced Course\" training in order to update your knowledge on the latest evolutions of the platform and to deepen some of its major functionalities.\n \nThis training, lasting 2 days, will consolidate your use of the platform but also go further:\nPresentation of the evolutions of the MicroScope platform\nPresentation of the new flagship features of the MicroScope platform\nPresentation of tools for RNA-seq analyzes\nDeepening of the functionalities allowing the exploration of the bacterial metabolism\n",
            "homepage": "https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-t…",
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                "Methodology",
                "Metagenomics",
                "Metabolic Network Modelling",
                "Read alignment on genomes",
                "Gene expression differential analysis",
                "Web portals",
                "Variant analysis",
                "Interfaces",
                "Systems Biology",
                "Interoperability",
                "Metabolomics and Fluxomics",
                "Metabolic network analysis",
                "Genome analysis",
                "Structural and functional annotation of genomes",
                "Complete genomes",
                "Transcriptomics (RNA-seq)",
                "Genomics (DNA-seq)",
                "Functional and regulatory pathways comparison",
                "Genomes comparison",
                "Data collection curation",
                "Comparative genomics",
                "Data Integration",
                "Data management and transfer",
                "NGS Sequencing Data Analysis",
                "Toolkit",
                "Tool integration",
                "Databases and information systems",
                "Développements technologiques de l‘Information et de la Communication"
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            "accessConditions": "For more information and registration : https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/.\n",
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            "id": 159,
            "name": "Analyse de données metabarcoding",
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            "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",
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            "keywords": [
                "Ecology",
                "Biodiversity",
                "Microbial ecology",
                "NGS Data Analysis",
                "Metagenomics",
                "NGS Sequencing Data Analysis"
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            "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",
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            "name": "Analysis of NGS data with R",
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            "description": "https://cnrsformation.cnrs.fr/stage-19025-Analyses-NGS-avec-R.html?axe=98\n",
            "homepage": "https://cnrsformation.cnrs.fr/pdf/16147.pdf",
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                "NGS Data Analysis",
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                "Statistical Tests",
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                "Variant analysis",
                "Knowledge mining",
                "Statistical Genetics",
                "Transcriptomics (RNA-seq)",
                "Genomics (DNA-seq)"
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            "id": 79,
            "name": "Phylogénie moléculaire",
            "shortName": "",
            "description": "\nLes objectifs sont :\n1. Acquérir des connaissances théoriques et pratiques en phylogénie moléculaire.\n2. Être autonome dans la conduite d'une analyse phylogénétique.\n3. Maîtriser le choix, le paramétrage et l'exploitation des résultats des programmes de phylogénie.\nhttps://cnrsformation.cnrs.fr/\n\n",
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                "Phylogenomics",
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            "id": 133,
            "name": "Introduction à la phylogénie moléculaire",
            "shortName": "",
            "description": "Le C3BI propose des cours pour acquérir les notions théoriques de phylogénie et maitriser les outils et logiciels.\nLes cours d'”Introduction à la phylogénie moléculaire” sont ouverts EN ACCES LIBRE  à tous les Pasteuriens et dispensés en langue française .\nl'après midi les travaux pratiques sont limités à 15 personnes (sur inscription)\n** Mardi 29 septembre\n– 9h30-11h : Méthodes de distance (A. Criscuolo)\n– 14h-15h30 : Méthodes de Maximum de Parcimonie (O. Gascuel)\n** Mercredi 30 septembre\n– 9h30-11h : Modèles d’évolution (O. Gascuel)\n– 14h-15h30 : Méthodes de Maximum de Vraisemblance (O. Gascuel)\n** Jeudi 1er octobre\n– 9h30-11h : Méthodes Bayesiennes (G. Perriere)\n– 14h-15h30 : Inférences des forces sélectives (G. Perriere)\n",
            "homepage": "http://c3bi.pasteur.fr",
            "is_draft": false,
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            "keywords": [
                "Phylogeny",
                "Evolution and Phylogeny",
                "Molecular evolution",
                "Speciation dating",
                "Selection Detection",
                "Genes and genomes"
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            "accessConditions": "réservé aux membres de l'Institut Pasteur\n",
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            "id": 157,
            "name": "Cycle « Initiation à la bioinformatique » - Module 4/4 : Initiation à la reconstruction phylogénétique en biologie moléculaire",
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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 4 sont :\r\n- Comprendre les grands principes de l’évolution moléculaire et de la reconstruction phylogénétique\r\n- Savoir construire des alignements informatifs pour une analyse phylogénétique\r\n- Comprendre les modèles phylogénétiques probabilistes, les méthodes d'inférence et savoir les appliquer\r\n- Savoir reconstruire des arbres phylogénétiques en Maximum de vraisemblance (ML) et par Inférence Bayésienne (BI)\r\n- Etre capable d’analyser avec un regard critique les résultats obtenus",
            "homepage": "https://bilille.univ-lille.fr/training/training-offer",
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                "Sequence analysis",
                "Multiple sequence alignment"
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            "accessConditions": "- Il est conseillé mais non nécessaire d’avoir suivi le module 1/4 « Banques de données et Blast » et le module 2/4 « Alignements de séquences » du cycle d'initiation à la bioinformatique.",
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            "id": 272,
            "name": "Molecular Phylogeny - Level 2",
            "shortName": "Phylogénie moléculaire - Niveau 2",
            "description": "OBJECTIF\r\n- Être capable de tester des hypothèses et d'ajuster des modèles permettant de comprendre l'évolution à l'échelle moléculaire\r\n\r\nPRÉREQUIS\r\n- Avoir déjà utilisé les logiciels de base en phylogénie moléculaire\r\n- Maîtriser les notions de base en statistiques (tests statistiques, principe du bootstrap, intervalles de confiances, etc.) et de probabilités (probabilités jointes / conditionnelles, théorème de Bayes, etc.)\r\n- Maîtriser un langage de programmation\r\n- Notions de phylogénie moléculaire\r\nAvoir suivi le stage \"Phylogénie moléculaire - formation de base\" ou niveau équivalent \r\n\r\nPROGRAMME\r\n- Phylogénétique et génétique des populations\r\n- Détection de sélection positive au sein de séquences codantes\r\n- Datation moléculaire : intégrer fossiles et molécules\r\n- Phylogénomique\r\n- Super-arbres et super-matrices, réconciliations d'arbres\r\n- Visualisation de l'information en phylogénie\r\n- Placement phylogénétique\r\n- Bases d'épidémiologie (modèles en compartiments, ODE, applications, etc)\r\n- Simulations selon une variété de modèles épidémiologiques\r\n- Phylodynamique : combiner épidémiologie et évolution",
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                "1200 €"
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                "Selection Detection",
                "Phylogenomics"
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            "name": "Introduction to molecular phylogeny",
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            "id": 79,
            "name": "Phylogénie moléculaire",
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            "id": 70,
            "name": "Phylogenomy and selection pressure ",
            "shortName": "",
            "description": "This training session is organized by the bios4Biol CATI.\nMorning : phylogenomics\nThe morning course will provide insigths about sampling problems in phylogenomics studies (genes, species) and methodological aspects of phylogenomics studies with two major focus on super-matrix and super-tree methods.\nAfternoon : selection pressure\nThe afternoon course will be dedicated to the use of the PAML4 package in order to study selection pressures in a sequence alignment.\n",
            "homepage": "http://bioinfo.genotoul.fr/index.php/events/phylogenomics-and-selection-pressure…",
            "is_draft": false,
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            "keywords": [
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                "Evolution and Phylogeny",
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                "Selection Detection",
                "Phylogenomics",
                "Genes and genomes"
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            "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": 49,
            "name": "Introduction to molecular phylogeny",
            "shortName": "",
            "description": "Training organized by CNRS Entreprises\n",
            "homepage": "https://cnrsformation.cnrs.fr/stage-17008-Phylogenie-moleculaire-%28Lyon%29.html",
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            "costs": [],
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                "Phylogeny",
                "Evolution and Phylogeny",
                "Molecular evolution",
                "Tree of Life",
                "Phylogenomics",
                "Genes and genomes"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "Some knowledge in mathematics and statistics.\n",
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        },
        {
            "id": 157,
            "name": "Cycle « Initiation à la bioinformatique » - Module 4/4 : Initiation à la reconstruction phylogénétique en biologie moléculaire",
            "shortName": "",
            "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 4 sont :\r\n- Comprendre les grands principes de l’évolution moléculaire et de la reconstruction phylogénétique\r\n- Savoir construire des alignements informatifs pour une analyse phylogénétique\r\n- Comprendre les modèles phylogénétiques probabilistes, les méthodes d'inférence et savoir les appliquer\r\n- Savoir reconstruire des arbres phylogénétiques en Maximum de vraisemblance (ML) et par Inférence Bayésienne (BI)\r\n- Etre capable d’analyser avec un regard critique les résultats obtenus",
            "homepage": "https://bilille.univ-lille.fr/training/training-offer",
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            "updated_at": "2024-12-09T17:41:54.833188Z",
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            "id": 79,
            "name": "Phylogénie moléculaire",
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            "description": "\nLes objectifs sont :\n1. Acquérir des connaissances théoriques et pratiques en phylogénie moléculaire.\n2. Être autonome dans la conduite d'une analyse phylogénétique.\n3. Maîtriser le choix, le paramétrage et l'exploitation des résultats des programmes de phylogénie.\nhttps://cnrsformation.cnrs.fr/\n\n",
            "homepage": "http://cnrsformation.cnrs.fr/stage-17007-Phylogenie-moleculaire-%28Montpellier%2…",
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                "Evolution and Phylogeny",
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                "Selection Detection",
                "Supertrees and Reconciliations",
                "Phylogenomics",
                "Genes and genomes"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "S'acquitter des frais d'inscription, être familiarisé avec les banques de données de séquences, avoir déjà utilisé les logiciels de base en bioinformatique, connaître les notions de base en statistiques (tests, lois probabilistes usuelles, méthodes simples d'estimation de paramètres), avoir des notions de programmation.\n",
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        },
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            "id": 50,
            "name": "Fc3-Bio",
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            "description": "1 à 4 séances de deux jours par an\n",
            "homepage": "http://www.fc3bio.fr/",
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                "Comparative and de novo structure modeling",
                "Post-translational modifications",
                "Dynamic and thermodynamic structure properties analysis",
                "NGS Data Analysis",
                "Virtual screening",
                "Structure-based screening",
                "Sequence Algorithm",
                "Ligand-Based Screening (QSAR)",
                "Sequence analysis",
                "2D/3D",
                "ADME/tox",
                "Small chemical compound libraries",
                "Structure analysis",
                "homology and structural pattern matching",
                "Homology/orthology prediction",
                "Structural Bioinformatics",
                "Predictions of structural properties",
                "Sequence annotation",
                "Pattern matching",
                "Multiple sequence alignment"
            ],
            "prerequisites": [],
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        },
        {
            "id": 320,
            "name": "Ecole Thématique de Bioinformatique Intégrative / Integrative Bioinformatics Training School",
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            "description": "Dans l’objectif de développer et fédérer des compétences en bioinformatique intégrative au sein de la communauté, l’IFB propose une nouvelle école thématique ayant un double objectif :\r\n- une montée en compétences théoriques et pratiques des bioinformaticiens,\r\n- la constitution de matériel pédagogique partagé sur ce sujet.\r\n\r\nCette école rassemble une équipe pédagogique de 10 personnes et pourra accueillir 30 participants pour sa première édition.\r\nL’ensemble de la formation reposera sur l’utilisation des ressources de calcul et de la plateforme pédagogique de l’Institut Français de Bioinformatique.\r\n\r\nObjectifs pédagogiques \r\n\r\nLa formation a pour but :\r\n- d’introduire les concepts de bases et les différents types d’approches utilisées en bioinformatique intégrative,\r\n- de proposer un approfondissement et une mise en pratique d’une de ces approches sur un/des jeux de données intégrant différents types de données omiques. Cette mise en oeuvre permettra de balayer l’ensemble des points d’attention d’une analyse intégrative,  de la préparation des données jusqu’à l’interprétation des résultats,\r\n- de créer, améliorer et partager les ressources pédagogiques (supports de formation, jeux de données, tutoriels) sur le thème de la bioinformatique intégrative.\r\n\r\nA la fin de cette formation les participants :\r\n- auront acquis un socle de connaissances générales en bioinformatique intégrative, \r\n- auront mis en oeuvre une analyse intégrative depuis la préparation des données jusqu’à l’analyse critique de résultats sur un/des jeux de données proposés lors de la formation,\r\n- auront contribué à constituer du matériel pédagogique partagé sur le sujet.\r\n\r\nPré-requis\r\n- Connaissances de base en Unix/shell, R et/ou Python \r\n- Autonomie dans la gestion de son poste de travail (installation de librairies et maîtrise des environnements de packaging type conda)",
            "homepage": "https://www.france-bioinformatique.fr/formation/etbii/",
            "is_draft": false,
            "costs": [
                "770 TTC pour les académiques  et 1540 TTC pour les privés"
            ],
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                "http://edamontology.org/topic_3391",
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                "Biostatistics",
                "Biological network inference and analysis",
                "Dimension reduction",
                "Semantic web",
                "Integration of heterogeneous data",
                "Data Integration",
                "Tool integration"
            ],
            "prerequisites": [
                "Linux and knowledge of NGS formats",
                "Basic knowledge of R"
            ],
            "openTo": "Everyone",
            "accessConditions": "Cette formation est ouverte à toute la communauté mais cette première édition s’adresse en priorité à des bioinformaticien·ne·s des plateformes membres et équipes associées IFB souhaitant contribuer à la constitution de matériel pédagogique pour se préparer au montage de futures formations sur ce thème.",
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                    "name": "IFB Core",
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            ],
            "logo_url": "https://drive.google.com/file/d/1a_fuOgqOU812GRJLApGMofJ87WTlxDI0/view?usp=sharing",
            "updated_at": "2024-12-03T15:46:48.157120Z",
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                "Professional (continued)"
            ],
            "audienceRoles": [
                "Life scientists",
                "Computer scientists",
                "Bioinformaticians"
            ],
            "difficultyLevel": "Novice",
            "trainingMaterials": [],
            "learningOutcomes": "A la fin de cette formation les participants :\r\n- auront acquis un socle de connaissances générales  en bioinformatique intégrative, \r\n- auront mis en oeuvre une analyse intégrative depuis la préparation des données jusqu’à l’analyse critique de résultats sur un/des jeux de données proposés lors de la formation,\r\n- auront contribué à constituer du matériel pédagogique partagé sur le sujet.",
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            "id": 334,
            "name": "Summer School Multi-omics Data Analysis and Integration",
            "shortName": "",
            "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.",
            "homepage": "https://www.sib.swiss/training/course/20230903_MODAI",
            "is_draft": false,
            "costs": [],
            "topics": [
                "http://edamontology.org/topic_0602",
                "http://edamontology.org/topic_2269",
                "http://edamontology.org/topic_0089"
            ],
            "keywords": [
                "Biological network inference and analysis",
                "Multivariate analyses",
                "Semantic web",
                "Knowledge representation"
            ],
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                    "id": 100,
                    "name": "SIB",
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                    "id": 4,
                    "name": "IFB - ELIXIR-FR",
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            "updated_at": "2023-04-26T16:14:06.237852Z",
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        {
            "id": 16,
            "name": "Formations à la plate-forme Microscope",
            "shortName": "",
            "description": "The LABGeM team at Genoscope regularly organizes training courses dedicated to the analysis of bacterial genomes via the use of the MicroScope platform at the University of Évry.\n \nThe course \"Annotation and analysis of prokaryotic genomes using the MicroScope platform\" lasting 4.5 days is aimed at:\nacquiring theoretical and practical knowledge of genome annotation tools (structural and functional annotation, metabolic networks annotation)\nknowing how to interpret the results of functional annotation tools\nknowing how to carry out various comparative analyzes: analyzes of conserved syntenia, pan-genomes, phylogenetic and metabolic profiles\nlearning to interpret the results of metabolic network prediction tools and search for candidate genes for enzymatic activities\napplying those tools to the analysis of genomes of interest to the participants \nEach session is made up of half theory and half practical work. During the training, participants have the opportunity to work on their own data during practical work.\n \nThis training is aimed at doctoral students, engineers, researchers, experienced biological or medical laboratory technicians. It concerns both people who already have an annotation project on the MicroScope platform and wishing to deepen its use, as well as those wishing to learn microbial genomics.\n \n \nIn addition, if you are a user of the MicroScope platform and you have already followed the training \"Annotation and analysis of prokaryotic genomes using the MicroScope platform\" a few years ago we have implemented a new training , the \"MicroScope Platform - Advanced Course\" training in order to update your knowledge on the latest evolutions of the platform and to deepen some of its major functionalities.\n \nThis training, lasting 2 days, will consolidate your use of the platform but also go further:\nPresentation of the evolutions of the MicroScope platform\nPresentation of the new flagship features of the MicroScope platform\nPresentation of tools for RNA-seq analyzes\nDeepening of the functionalities allowing the exploration of the bacterial metabolism\n",
            "homepage": "https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-t…",
            "is_draft": false,
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            "keywords": [
                "Methodology",
                "Metagenomics",
                "Metabolic Network Modelling",
                "Read alignment on genomes",
                "Gene expression differential analysis",
                "Web portals",
                "Variant analysis",
                "Interfaces",
                "Systems Biology",
                "Interoperability",
                "Metabolomics and Fluxomics",
                "Metabolic network analysis",
                "Genome analysis",
                "Structural and functional annotation of genomes",
                "Complete genomes",
                "Transcriptomics (RNA-seq)",
                "Genomics (DNA-seq)",
                "Functional and regulatory pathways comparison",
                "Genomes comparison",
                "Data collection curation",
                "Comparative genomics",
                "Data Integration",
                "Data management and transfer",
                "NGS Sequencing Data Analysis",
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                "Tool integration",
                "Databases and information systems",
                "Développements technologiques de l‘Information et de la Communication"
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            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "For more information and registration : https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/.\n",
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            "id": 16,
            "name": "Formations à la plate-forme Microscope",
            "shortName": "",
            "description": "The LABGeM team at Genoscope regularly organizes training courses dedicated to the analysis of bacterial genomes via the use of the MicroScope platform at the University of Évry.\n \nThe course \"Annotation and analysis of prokaryotic genomes using the MicroScope platform\" lasting 4.5 days is aimed at:\nacquiring theoretical and practical knowledge of genome annotation tools (structural and functional annotation, metabolic networks annotation)\nknowing how to interpret the results of functional annotation tools\nknowing how to carry out various comparative analyzes: analyzes of conserved syntenia, pan-genomes, phylogenetic and metabolic profiles\nlearning to interpret the results of metabolic network prediction tools and search for candidate genes for enzymatic activities\napplying those tools to the analysis of genomes of interest to the participants \nEach session is made up of half theory and half practical work. During the training, participants have the opportunity to work on their own data during practical work.\n \nThis training is aimed at doctoral students, engineers, researchers, experienced biological or medical laboratory technicians. It concerns both people who already have an annotation project on the MicroScope platform and wishing to deepen its use, as well as those wishing to learn microbial genomics.\n \n \nIn addition, if you are a user of the MicroScope platform and you have already followed the training \"Annotation and analysis of prokaryotic genomes using the MicroScope platform\" a few years ago we have implemented a new training , the \"MicroScope Platform - Advanced Course\" training in order to update your knowledge on the latest evolutions of the platform and to deepen some of its major functionalities.\n \nThis training, lasting 2 days, will consolidate your use of the platform but also go further:\nPresentation of the evolutions of the MicroScope platform\nPresentation of the new flagship features of the MicroScope platform\nPresentation of tools for RNA-seq analyzes\nDeepening of the functionalities allowing the exploration of the bacterial metabolism\n",
            "homepage": "https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-t…",
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                "Metabolic Network Modelling",
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                "Gene expression differential analysis",
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                "Variant analysis",
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                "Systems Biology",
                "Interoperability",
                "Metabolomics and Fluxomics",
                "Metabolic network analysis",
                "Genome analysis",
                "Structural and functional annotation of genomes",
                "Complete genomes",
                "Transcriptomics (RNA-seq)",
                "Genomics (DNA-seq)",
                "Functional and regulatory pathways comparison",
                "Genomes comparison",
                "Data collection curation",
                "Comparative genomics",
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                "Data management and transfer",
                "NGS Sequencing Data Analysis",
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                "Tool integration",
                "Databases and information systems",
                "Développements technologiques de l‘Information et de la Communication"
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            "prerequisites": [],
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            "accessConditions": "For more information and registration : https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/.\n",
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        {
            "id": 264,
            "name": "Linking gene and function, comparative genomics tools for biologists",
            "shortName": "",
            "description": "More than twenty years after the first bacterial genome has been sequenced, microbiologists are faced with an avalanche of genomic data. However the quality of the functional annotations of the sequenced proteome is very poor with more than half of the sequenced proteins remaining of unknown function. After taking this course, students should master an array of web-based tools to help to predict gene function. This will allow them to generate in silico based functional predictions and produce illustration for manuscripts that use comparative genomic methods. For background read (https://www.ncbi.nlm.nih.gov/pubmed/20001958)\n",
            "homepage": "https://c3bi.pasteur.fr/training-linking-gene-and-function-comparative-genomics-…",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [
                "Functional and regulatory pathways comparison",
                "Genomes comparison",
                "Comparative genomics",
                "Databases and information systems"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
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            "sponsoredBy": [],
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            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [],
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            "difficultyLevel": "",
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            "learningOutcomes": "",
            "hoursPresentations": null,
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            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/396/?format=api"
            ]
        }
    ]
}