Handles creating, reading and updating events.

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            "name": "Cluster - session 23/04/2024",
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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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                "Priced",
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                "Linux/Unix"
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            "accessConditions": "You need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private.",
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                    "name": "MIAT - Mathématiques et Informatique Appliquées de Toulouse",
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            "updated_at": "2024-03-26T14:24:58.135354Z",
            "type": "Training course",
            "start_date": "2024-04-23",
            "end_date": "2024-04-23",
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            "city": "Castanet Tolosan",
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                    "id": 139,
                    "name": "Cluster Slides - Genotoul-bioinfo",
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            "registration_opening": "2024-03-24",
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            "name": "Initiation à Linux / Introduction to Linux - 2026",
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            "description": "Objectifs pédagogiques\r\nÀ l'issue de la formation, les stagiaires connaîtront les principales commandes Linux et sauront utiliser le système Linux.\r\n\r\nProgramme\r\n* Connexion (ssh) et transferts de fichiers (scp, rsync)\r\n* Interfaces graphiques (Gnome, KDE) / émulateurs\r\n* Aide en ligne\r\n* Utilisation du shell : le rappel des commandes, l’historique, la complétion\r\n* Système de fichiers : arborescence et chemin d’accès, le répertoire d’accueil…\r\n* Gestion des fichiers et des répertoires\r\n* Principe de protection : les attributs sur les fichiers, les droits d’accès",
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            "updated_at": "2026-02-12T10:23:26.458502Z",
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            "id": 786,
            "name": "Analyse statistique de données RNA-Seq - Recherche des régions d’intérêt différentiellement exprimées - 2026",
            "shortName": "Analyse statistique de données RNA-Seq 2026",
            "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.",
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            "updated_at": "2026-02-12T10:29:38.805654Z",
            "type": "Training course",
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            "name": "Analysis of shotgun metagenomic data - 11 mai 2026",
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            "description": "This training session is organized by the Genotoul bioinfo platform. This course is dedicated to the analysis of prokaryotic shotgun metagenomic data from Illumina and Pacbio HiFi sequencing technology. \r\n\r\nAfter an overview of metagenomics and the biases and limitations of analyses, we will look at the main steps involved in analysing metagenomic data and launch independent tools on the genobioinfo cluster.\r\nLearners will then test a workflow to automate processing on a test dataset (metagWGS ).\r\nOn the third day, learners will choose which analysis strategy to start with according to their experimental design and launch the first stage of metagWGS on their own data.\r\nBy the end of the course, trainees will be familiar with the scope, advantages and limitations of shotgun sequencing data analysis and will have started the analysis on their own data.\r\n\r\ncalendar\r\n \r\n\r\nThis training is focused on practice. It consists of several modules with a large variety of exercises:\r\n\r\nFirst Day\r\nStart at 09:00 am\r\nTour de table\r\nIntroduction to metagenomics, Illumina and Pacbio data, analysis stages, analysis limits, etc.\r\nPresentation of some key tools for each stage\r\nPractical work on the main stages launched independently\r\nEnd at 17:00 pm\r\nSecond Day\r\nStart at 09:00 am\r\nIntroduction to the advantages and disadvantages of workflows and containers\r\nLaunch of the data cleansing stage\r\nLaunch of the rest of the workflow and analysis of the multiQC report\r\nEnd at 17:00 pm\r\nThird Day – BYOD\r\nStart at 09:00 am\r\nDefine the analysis strategy and launch the start of the analysis of your own data.\r\nEnd at 17:00 pm maximum",
            "homepage": "https://bioinfo.genotoul.fr/index.php/events/analysis-of-shotgun-metagenomic-data/",
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            "logo_url": "https://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png",
            "updated_at": "2026-02-02T12:27:34.243825Z",
            "type": "Training course",
            "start_date": "2026-05-11",
            "end_date": "2026-05-13",
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            "city": "Castanet-Tolosan",
            "country": "France",
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            "registration_opening": "2026-01-14",
            "registration_closing": "2026-03-27",
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            "id": 650,
            "name": "Analyses Single Cell RNA-seq (ScRNA-seq) avec R",
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            "description": "Cette formation introduira notamment la librairie Seurat permettant la manipulation et l'analyse de données Single Cell RNA-seq ainsi que la visualisation des résultats d'analyse\r\n\r\n- Rappels des concepts du séquençage Single Cell RNA-seq\r\n- Importation des données Single Cell dans R\r\n- Intégration de données Single Cell multiples\r\n- Quality Check et pré-traitement des données\r\n- Normalisation de données\r\n- Identification de marqueurs\r\n- Clustering et assignation cellulaire\r\n- Analyse différentielle des groupes cellulaires\r\n- Savoir intégrer les données de spatialisation\r\n- Savoir intégrer les données de trajectoire\r\n- Savoir intégrer les données de communication cellulaire\r\n- Savoir intégrer les données d'épigénétique (ATAC-seq)",
            "homepage": "https://cnrsformation.cnrs.fr/analyses-single-cell-rna-seq-scrna-seq-avec-r?axe=176",
            "is_draft": false,
            "costs": [],
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            "keywords": [
                "Bioinformatics & Biomedical",
                "R Language",
                "R",
                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [
                "Basic knowledge of R",
                "R programming"
            ],
            "openTo": "Everyone",
            "accessConditions": "Maîtrise du langage R\r\nAvoir suivi le stage \"Langage R : introduction\" ou niveau équivalent.\r\nAfin de vérifier que votre maîtrise du langage R est suffisante pour pouvoir suivre ce stage, nous vous invitons à effectuer et à renvoyer le test téléchargeable\r\nhttps://cnrsformation.cnrs.fr/data/STG_23294_55153.docx",
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                    "name": "CBiB",
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            ],
            "logo_url": "https://services.cbib.u-bordeaux.fr/utils/logo_cbib.png",
            "updated_at": "2025-12-09T10:10:11.677251Z",
            "type": "Training course",
            "start_date": "2026-10-01",
            "end_date": "2026-10-02",
            "venue": "",
            "city": "Bordeaux",
            "country": "France",
            "geographical_range": "National",
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            "registration_opening": "2025-12-03",
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        {
            "id": 779,
            "name": "Traitement bioinformatique et analyse différentielle de données d’expression RNA-seq sous Galaxy - 2026",
            "shortName": "Analyse données RNA-seq sous Galaxy 2026",
            "description": "Objectifs pédagogiques\r\nA l’issue de cette formation, vous serez capable, dans le cadre d’une analyse de données RNA- seq avec génome de référence et plan d’expérience simple :\r\n* de connaître le vocabulaire et les concepts bioinformatiques et biostatistiques ;\r\n* de savoir enchaîner de façon pertinente un ensemble d’outils bioinformatiques et biostatistiques dans l’environnement Galaxy ;\r\n* de comprendre le matériel et méthodes d’un article du domaine ;\r\n* d’évaluer la pertinence d’une analyse RNA-seq en identifiant les éléments clefs et comprendre les particularités liées à la nature des données.\r\n\r\nProgramme\r\nBioinformatique :\r\n* Obtenir des données de qualité : nettoyage, filtrage, qualité\r\n* Aligner les lectures sur un génome de référence\r\n* Détecter de nouveaux transcrits\r\n* Quantifier l’expression des gènes\r\n* Préparer et déployer unensemble d’analyses sur plusieurs échantillons\r\n\r\nBiostatistique :\r\n* Construire un plan d’expérience simple\r\n* Normaliser les données de comptage\r\n* Identifier les gènes différentiellements exprimés\r\n* Se sensibiliser aux tests multiples\r\n\r\nAnalyse de protocoles Bioinformatique et Biostatistiques issus de la littérature",
            "homepage": "https://documents.migale.inrae.fr/trainings.html",
            "is_draft": false,
            "costs": [
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            "topics": [
                "http://edamontology.org/topic_0102",
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                "http://edamontology.org/topic_0203",
                "http://edamontology.org/topic_3308"
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            "keywords": [
                "Gene expression differential analysis",
                "RNA-seq",
                "Transcriptomics"
            ],
            "prerequisites": [
                "Galaxy - Basic usage"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
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                    "id": 82,
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            "updated_at": "2026-02-12T10:21:56.410571Z",
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        {
            "id": 792,
            "name": "Analyse de données de métabarcoding - 2026",
            "shortName": "Métabarcoding 2026",
            "description": "Cette formation est dédiée à l’analyse de données de type “metabarcoding” issues de la technologie de séquençage Illumina. Nous aborderons les différentes étapes bioinformatiques nécessaires pour transformer les données de séquençage brutes en table d’abondances. Nous présenterons également les outils et méthodologies classiquement utilisés pour décrire la diversité observée et comparer les échantillons.\r\n\r\nA l’issue des 4 jours de formation, les stagiaires connaîtront le périmètre, les avantages et limites des analyses de données de séquençage amplicons (métabarcoding). Ils seront capables d’utiliser les outils de FROGS sur les jeux de données de la formation (16S et ITS) et sauront utiliser l’application Easy16S.\r\n\r\nIls seront capables d’identifier les outils et méthodes adaptées au cadre de leurs analyses. S’ils ont en leur possession un jeu de données à analyser, ils sont encouragés à venir avec celui- ci.\r\n\r\nProgramme :\r\n\r\n\r\nAnalyses bioinformatiques sous Galaxy\r\n\r\n    Introduction générale sur les données amplicons\r\n    Présentation et mise en application avec la suite FROGS du nettoyage des données, du clustering, de la détection de chimères, de l’assignation taxonomique et des étapes annexes\r\n    Conclusion, limite des méthodes, outils compagnons\r\n\r\nAnalyses statistiques avec Easy16S\r\n\r\n    Introduction générale\r\n    Import, manipulation et visualisation des données\r\n    Mesure de diversités : Unifrac, Bray-Curtis, etc.\r\n    Ordination et réduction de dimension : MDS\r\n    Clustering et Heatmap\r\n    Comparaison d’échantillons : PERMANOVA, adonis\r\n\r\nMise en application sur données personnelles ou publiques",
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            "is_draft": false,
            "costs": [
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            "topics": [
                "http://edamontology.org/topic_3697"
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            "keywords": [
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            "updated_at": "2026-02-12T10:55:22.536502Z",
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            "start_date": "2026-06-08",
            "end_date": "2026-06-11",
            "venue": "",
            "city": "Jouy-en-Josas",
            "country": "France",
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            "registration_opening": null,
            "registration_closing": "2026-05-25",
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        {
            "id": 608,
            "name": "LINUX - session 22/04/2024",
            "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)",
                "For INRAE's staff: 150 € no VAT charged;"
            ],
            "topics": [
                "http://edamontology.org/topic_3316"
            ],
            "keywords": [],
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                "none"
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                    "name": "Genotoul-bioinfo",
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            ],
            "logo_url": "http://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png",
            "updated_at": "2024-03-26T14:24:31.157055Z",
            "type": "Training course",
            "start_date": "2024-04-22",
            "end_date": "2024-04-22",
            "venue": "",
            "city": "Castanet Tolosan",
            "country": "France",
            "geographical_range": "",
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                    "id": 137,
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                    "id": 138,
                    "name": "Linux TP - Genotoul-bioinfo",
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            "registration_opening": "2024-03-24",
            "registration_closing": null,
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            "id": 756,
            "name": "SHORT-READ ALIGNMENT AND SMALL SIZE VARIANTS CALLING - 13 avril 2026",
            "shortName": "",
            "description": "This training session, organized jointly with the Sigenae platform, is designed to introduce NGS data, in particular Illumina Solexa technologies with command line. You will discover the new sequence formats, the assembly formats and the known biases of these technologies. You will use mapping on reference genome software, polymorphisms detection with the GATK pipeline and alignment visualization software.\r\n\r\nThis training is focused on the practice. It consists of modules with a large variety of exercises:\r\n\r\nDay 1 (09:00 am to 12:30 am): Fastq format / Sequence quality. Read mapping.\r\nDay 1 (14:00 pm to 17:00 pm): SAM format. Visualisation.\r\nDay 2 (09:00 am to 17:00 am): Variant calling. VCF format. Variant annotation (SNPeff / SNPsift).\r\n \r\nThe session will take place in the room ‘salle de formation’ at INRAE center of Toulouse-Auzeville.\r\n\r\nPrerequisites: ability to use a Unix environment (see Unix training) and Cluster (see Cluster training).\r\n \r\nTool box: FastQC, BWA, Samtools, Picard tools, GATK, SnpSift / SnpEff, IGV.",
            "homepage": "https://bioinfo.genotoul.fr/index.php/events/alignment-and-small-size-variants-calling/",
            "is_draft": false,
            "costs": [
                "Non-academic: 550€ + 20% taxes (TVA)",
                "Academic but non-INRAE: 170 € + 20% taxes (TVA)",
                "For INRAE's staff: 150 € no VAT charged;"
            ],
            "topics": [
                "http://edamontology.org/topic_2885",
                "http://edamontology.org/topic_0102"
            ],
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            "prerequisites": [
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            ],
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            ],
            "logo_url": "https://bioinfo.genotoul.fr/wp-content/uploads/sigenae-text-black-1.png",
            "updated_at": "2026-02-02T09:47:33.747044Z",
            "type": "Training course",
            "start_date": "2026-04-13",
            "end_date": "2026-04-14",
            "venue": "",
            "city": "Castanet-Tolosan",
            "country": "France",
            "geographical_range": "",
            "trainers": [],
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            "realisation_status": "future",
            "registration_opening": "2026-01-14",
            "registration_closing": "2026-02-27",
            "registration_status": "open",
            "courseMode": "Onsite"
        },
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            "id": 700,
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            ],
            "topics": [
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            ],
            "keywords": [
                "R Language",
                "Tidyverse"
            ],
            "prerequisites": [
                "Basic knowledge of R"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
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                    "id": 88,
                    "name": "BioinfOmics",
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            ],
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            ],
            "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png",
            "updated_at": "2025-01-23T15:46:16.560558Z",
            "type": "Training course",
            "start_date": "2025-06-16",
            "end_date": "2025-06-17",
            "venue": "",
            "city": "Jouy-en-Josas",
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            "registration_opening": "2025-01-21",
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        },
        {
            "id": 466,
            "name": "Diplôme Universitaire en Bioinformatique Intégrative - session 2019 / University Diploma in Integrative Bioinformatics - 2019 session",
            "shortName": "DUBii 2019",
            "description": "La bioinformatique est devenue une compétence incontournable pour l'analyse de données de natures diverses : génomes, transcriptomes, protéomes, métabolomes, structures macromoléculaires, réseaux d'interactions. L'appropriation par les biologistes des méthodes et des outils de biostatistique et bioinformatique intégrative est un enjeu majeur pour la montée en compétence des équipes de recherche et des plateformes de service.\r\n\r\nL'université de Paris propose en partenariat avec l'Institut Français de Bioinformatique (IFB) la troisième édition du Diplôme Universitaire en Bioinformatique intégrative (DUBii). Cette formation s’adresse en priorité à des biologistes ou à des médecins souhaitant évoluer en compétences ou envisager une reconversion professionnelle et ayant déjà acquis des compétences (formation courte, autoapprentissage, expérience de terrain) en informatique ou bioinformatique / biostatistique (environnement Unix, Python ou R ou autre langage de programmation). \r\n\r\nLe DUBii fournira une formation théorique et pratique, complétée par une période d'immersion de 20 jours sur l'une des plateformes régionales de l'IFB, qui mobilisera, dans le cadre d'un projet tutoré, l'ensemble des méthodes et outils appris durant les cours pour réaliser un projet personnel de bioinformatique intégrative. Ce projet combinera des données propres à chaque participant produites dans son laboratoire (principe BYOD : “Bring Your Own Data”) ou collectées à partir de bases de données publiques. \r\n\r\n Cette formation se déroulera pendant 8 semaines réparties entre :\r\nLes cours : 4 semaines à raison de 4 jours/semaine en présentiel (96h)\r\nLe projet tutoré : 20 jours sur l'une des plateformes bioinformatique de l'IFB",
            "homepage": "https://ressources.france-bioinformatique.fr/fr/du-bii",
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            "logo_url": null,
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2019-01-28",
            "end_date": "2019-06-14",
            "venue": "",
            "city": "Paris",
            "country": "France",
            "geographical_range": "National",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2018-07-01",
            "registration_closing": "2018-10-15",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 518,
            "name": "Statistiques avec R / Statistics with R - Session 1 - 2023",
            "shortName": "R - Stats 2023 S1",
            "description": "Objectifs\r\n- Choisir un test statistique adapté à un problème donné.\r\n-\r\nImporter des données et réaliser un test avec R.\r\nProgramme\r\n- Théorie : modèle, loi de distribution, hypothèse H0, variable de test, p-value, tests multiples, FDR\r\n- Pratique : réalisation de tests sous R dans un environnement convivial (RStudio)\r\n-\r\ntests usuels simples : Gauss, Student, χ2\r\n-\r\ntests multiples : ANOVA, correction (ex. Student multiple), tests spécifiques (ex. SAM)",
            "homepage": "https://abims.sb-roscoff.fr/training/courses",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [
                "http://edamontology.org/topic_2269"
            ],
            "keywords": [],
            "prerequisites": [
                "Basic knowledge of R"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 18,
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                    "name": "ABiMS",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/ABiMS/?format=api"
                }
            ],
            "logo_url": "https://abims.sb-roscoff.fr/sites/default/files/abims.png",
            "updated_at": "2023-05-17T09:27:31.911754Z",
            "type": "Training course",
            "start_date": "2023-06-01",
            "end_date": "2023-06-01",
            "venue": "",
            "city": "Roscoff",
            "country": "France",
            "geographical_range": "",
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            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2023-02-22",
            "registration_closing": "2023-04-30",
            "registration_status": "closed",
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        },
        {
            "id": 592,
            "name": "Initiation à l’utilisation de la plateforme de bio-analyse Galaxy",
            "shortName": "",
            "description": "L’objectif de cette formation est de se familiariser avec l’interface utilisateur de Galaxy. Nous proposons au personnel non-bioinformaticien de les accompagner dans la prise en main de l’interface Galaxy. Vous découvrirez comment importer des données, faire une analyse simple, gérer un historique et construire un workflow.\r\n\r\nCette formation se base sur le contenu du Galaxy Training Network (GTN). Plus de 300 tutoriels sont mis à disposition sur le web (https://training.galaxyproject.org/) organisés autour de différentes thématiques biologiques. Nous aborderons ici les bases du fonctionnement de la plateforme Galaxy.\r\n\r\n\r\nLes inscriptions se font via le formulaire suivant avant le 28 Février 2024 : https://framaforms.org/cycle-de-formations-mensuelles-a-lanalyse-de-donnees-sur-galaxy-1707229580\r\nDans ce formulaire, vous pouvez sélectionner les sessions qui vous intéressent. Nous sélectionnerons les participants sur la base du \"premier arrivé, premier servi\" et nous transmettrons la liste par session au service de formation continue de l'UCA qui vous enverra ensuite une convocation.",
            "homepage": "",
            "is_draft": false,
            "costs": [
                "Free to academics"
            ],
            "topics": [
                "http://edamontology.org/topic_0091"
            ],
            "keywords": [
                "Galaxy"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "Formation ouverte au personnel de l’UCA & Associés\r\nAvoir un ordinateur portable et un accès wifi eduroam\r\nAvoir un compte sur la plateforme Galaxy (Faire une demande le cas échéant sur hub.mesocentre.uca.fr)",
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                    "name": "Université Clermont Auvergne",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Universit%C3%A9%20Clermont%20Auvergne/?format=api"
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            ],
            "organisedByOrganisations": [
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                    "id": 87,
                    "name": "AuBi",
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                },
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                    "id": 96,
                    "name": "Mésocentre Clermont-Auvergne",
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            ],
            "logo_url": "https://mesocentre.uca.fr/medias/photo/logoaubi-2019minus_1553844844490-jpg?ID_FICHE=41175",
            "updated_at": "2024-02-08T10:45:39.749607Z",
            "type": "Training course",
            "start_date": "2024-03-13",
            "end_date": "2024-03-13",
            "venue": "Bâtiment Turing, Salle A009",
            "city": "Clermont-Ferrand",
            "country": "France",
            "geographical_range": "Local",
            "trainers": [
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            "trainingMaterials": [
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                    "id": 126,
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            ],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2024-02-08",
            "registration_closing": "2024-02-28",
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        },
        {
            "id": 479,
            "name": "Using sed and awk to modify large large text files - session 2022/10/12",
            "shortName": "",
            "description": "Many analysis generate large result text files which have to be checked, merged, split, reduced. Several tools have been developed and are available on Unix to do this, including sed and AWK. During this course you will be trained to process large files with sed and AWK. Sed is tool enabling to select and process lines. You can easily insert, delete, modify, append lines to very large files with millions of lines. AWK will enable to perform more fine tuned file modifications based on columns. It includes also more mathematical and string functions.  The course is based mainly on exercises with small sections presenting concepts and commands.",
            "homepage": "http://bioinfo.genotoul.fr/index.php/events/modify-and-extract-information-from-large-text-files-day-2-3/",
            "is_draft": false,
            "costs": [
                "Non-academic: 550€ + 20% taxes (TVA)",
                "Academic but non-INRAE: 170 € + 20% taxes (TVA)",
                "For INRAE's staff: 150 € no VAT charged;"
            ],
            "topics": [
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            ],
            "keywords": [
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            ],
            "prerequisites": [
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            ],
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            ],
            "logo_url": "http://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png",
            "updated_at": "2024-03-26T14:09:59.037431Z",
            "type": "Training course",
            "start_date": "2022-10-12",
            "end_date": "2022-10-12",
            "venue": "",
            "city": "Castanet Tolosan",
            "country": "France",
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        },
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            "id": 603,
            "name": "RNASeq Analysis",
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            "homepage": "https://pf-bird.univ-nantes.fr/training/rnaseq/",
            "is_draft": false,
            "costs": [
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            ],
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            ],
            "logo_url": "https://bird.univ-nantes.io/website/images/logo/logo.svg",
            "updated_at": "2024-02-19T09:37:13.928843Z",
            "type": "Training course",
            "start_date": "2024-03-20",
            "end_date": "2024-03-21",
            "venue": "",
            "city": "Nantes",
            "country": "",
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                    "id": 88,
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            "name": "Modélisation in silico de structures 3D de protéines. Prédiction de mutations, de fixation de ligands  : 2025",
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            "description": "Objectifs pédagogiques\r\nA l’issue de la formation, les stagiaires connaîtront les principales fonctionnalités du logiciel PyMOL. Ils seront capables de les appliquer pour visualiser leur système biologique d’intérêt, et d’effectuer des commandes basiques d’identification de poches catalytiques, de profilage de surface électrostatique, et de mutations d’acides aminés.\r\n\r\nAussi, ils connaîtront les bases et les outils de bioinformatique structurale et seront autonomes pour effectuer des modèles de protéines par prédiction (Alphafold2), calculer les meilleures poses de fixation de leur(s) ligand(s) (Autodock4) et reconstruire l’éventuel assemblage biologique.\r\n\r\nBonus : Ils s’approprieront ces outils avec une demi-journée dédiée à la modélisation de leur système d’étude : protéines, interactions protéines/ADN, arrimage de ligand, etc.\r\n\r\nProgramme\r\nVisualiser :\r\n* Maîtriser les bases de la visualisation des protéines en 3D avec PyMOL.\r\nComprendre :\r\n* Analyser des structures 3D de protéines (RX ou RMN).\r\n* Identifier des homologues avec HHpred.\r\n* Modéliser par prédiction sa protéine d’intérêt avec Alphafold2.\r\nPrédire :\r\n* Savoir calculer des meilleures poses de ligands avec Autodock.\r\n* Prédir et modéliser les mutations in silico.\r\n\r\n- Points forts et limites des différents outils\r\n- ️“hand- on tutorials”\r\n- Plus une session dédiée : «bring your own protein»",
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            "topics": [
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            "keywords": [
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                "Protein/protein interaction modelisation"
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                    "name": "BioinfOmics",
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            "updated_at": "2025-01-23T15:44:32.386212Z",
            "type": "Training course",
            "start_date": "2025-06-04",
            "end_date": "2025-06-05",
            "venue": "",
            "city": "Jouy-en-Josas",
            "country": "France",
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            "id": 422,
            "name": "Ecole thématique CNRS Single-Cell 2020 // Transcriptomique et épigénomique en cellule unique: théorie et pratique",
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            "description": "This workshop focuses on the large-scale study of heterogeneity across individual cells from a genomic, transcriptomic and epigenomic point of view. New technological developments enable the characterization of molecular information at a single cell resolution for large numbers of cells. The high dimensional omics data that these technologies produce raise novel methodological challenges for the analysis. In this regard, dedicated bioinformatics and statistical methods have been developed in order to extract robust information.\r\n\r\nThe workshop aims to provide such methods for engineers and researchers directly involved in functional genomics projects making use of single-cell technologies. A wide range of single cell topics will be covered in lectures, demonstrations and practical classes. Among others, the areas and issues to be addressed will include the choice of the most appropriate single-cell sequencing technology, the experimental design and the bioinformatics and statistical methods and pipelines. For this edition, new courses/practicals will focus on spatial transcriptomics, cell phenotyping and additional multi-omics.\r\n\r\nA wide range of single cell topics will be covered in lectures, demonstrations and practical classes. Among others, the areas and issues to be addressed will include the choice of the most appropriate single-cell sequencing technology, the experimental design and the bioinformatics and statistical methods and pipelines. For this edition, new courses/practicals will focus on spatial transcriptomics, cell phenotyping and additional multi-omics.\r\n\r\nRequirements : Participants must have prior experience on NGS data analysis  with everyday use of R and good knowledge of Unix command line. Before the training, participants will be asked to familiarize themselves with the processing and primary analyses steps of scRNA-seq datasets with provided pedagogic material.\r\n\r\nIt is not necessary to have personal single-cell data to analyse.",
            "homepage": "https://ressources.france-bioinformatique.fr/fr/evenements/ecole-single-cell-2020",
            "is_draft": false,
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            ],
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                "Autre (Diplôme universitaire, école d'ingénieur ...)"
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            ],
            "organisedByTeams": [],
            "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/sincellTE_logo_0_2_0.png",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2020-09-27",
            "end_date": "2020-10-02",
            "venue": "Station Biologique",
            "city": "Roscoff",
            "country": "France",
            "geographical_range": "",
            "trainers": [],
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        },
        {
            "id": 469,
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            "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/",
            "is_draft": false,
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            ],
            "logo_url": "https://southgreenplatform.github.io/trainings//images/southgreenlong.png",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2022-04-19",
            "end_date": "2022-04-21",
            "venue": "",
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            "country": "France",
            "geographical_range": "Local",
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        },
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            "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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            "is_draft": false,
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            ],
            "logo_url": "https://southgreenplatform.github.io/trainings//images/southgreenlong.png",
            "updated_at": "2022-06-02T11:50:50.627601Z",
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            "end_date": "2022-05-20",
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}