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            "end_date": "2017-06-02",
            "venue": "",
            "city": "1 avenue de la terasse, Gif-sur-Yvette",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "id": 151,
            "name": "MOD2018",
            "shortName": "",
            "description": " Axée sur les technologies pour l'assemblage des génomes et sur les applications en Santé et en Environnement.",
            "homepage": "https://www.montpellier-omics-days.fr/",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
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            "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/index.png",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Conference",
            "start_date": "2018-02-08",
            "end_date": "2018-02-09",
            "venue": "",
            "city": "campus du Triolet, Université de Montpellier",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "id": 255,
            "name": "Analyse statistique RNA-seq sous Galaxy",
            "shortName": "",
            "description": "\nObjectifs\n\nSe sensibiliser aux concepts et méthodes statistiques pour l'analyse de données transcriptomiques de type RNA-Seq.\nComprendre le matériel et méthodes (normalisation et tests statistiques) d'un article\ndu domaine.\nComprendre les particularités liées à la nature des données.\n\n \n \nProgramme\n\nPlanification expérimentale des expériences RNA-Seq (identification des biais, répétitions, biais contrôlables).\nNormalisation et analyse différentielle : recherche de \"régions d'intérêt\" différentiellement exprimées (modèle linéaire généralisé).\nPrise en compte de la multiplicité des tests.\nLe cours sera illustré par différents exemples et un jeu de données sera traité à l'aide du package R SARTools (basé sur les packages R DESeq2 et edgeR) dans les environnements Galaxy et RStudio.\n",
            "homepage": "http://migale.jouy.inra.fr/",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "NGS Data Analysis",
                "Analysis of RNAseq data",
                "Galaxy"
            ],
            "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": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2017-03-15",
            "end_date": null,
            "venue": "",
            "city": "jouy en josas",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "id": 606,
            "name": "5th workshop Single-Cell : Transcriptomics, Spatial and Long reads",
            "shortName": "5th SincellTE",
            "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.\r\n\r\nAll the classes will be taught in English",
            "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=27",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "Single-Cell Sequencing",
                "long read sequencing",
                "spatial transcriptomics"
            ],
            "prerequisites": [
                "Master",
                "Autre (Diplôme universitaire, école d'ingénieur ...)"
            ],
            "openTo": "Everyone",
            "accessConditions": "Participants must have prior experience on NGS data analysis with everyday use of R and/or Python and good knowledge of Unix command line. Before the training, participants are advised to familiarize themselves with the processing and primary analyses steps of scRNA-seq datasets. \r\nIt is not necessary to have personal single-cell data to analyse.",
            "maxParticipants": 30,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 48,
                    "name": "Institut Pasteur",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Institut%20Pasteur/?format=api"
                },
                {
                    "id": 4,
                    "name": "IFB - ELIXIR-FR",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api"
                }
            ],
            "organisedByTeams": [],
            "logo_url": "https://github.com/IFB-ElixirFr/Training/blob/main/logo_sincellte.png?raw=true",
            "updated_at": "2024-03-20T16:00:20.423462Z",
            "type": "Training course",
            "start_date": "2024-10-20",
            "end_date": "2024-10-25",
            "venue": "Station Biologique",
            "city": "Roscoff",
            "country": "France",
            "geographical_range": "International",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2024-03-12",
            "registration_closing": "2024-05-07",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 251,
            "name": "Initiation à R",
            "shortName": "",
            "description": "\nObjectifs\n\n- Présenter le langage de programmation R et ses principes.\n- Utiliser les principales fonctionnalités de ce langage pour effectuer des calculs mathématiques, statistiques ou des représentations graphiques.\n- Attention : ce module n'est ni un module de statistique, ni un module d'analyse statistique des données.\n\nProgramme\n\n- Structures et manipulation de données.\n- Principaux éléments du langage de programmation (boucle, fonctions…).\n- Différentes représentations graphiques de données/résultats (plot, histogramme, boxplot).\n",
            "homepage": "http://migale.jouy.inra.fr/",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "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": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2017-03-06",
            "end_date": null,
            "venue": "",
            "city": "Jouy en Josas",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "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,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [
                {
                    "id": 4,
                    "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": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2023-02-22",
            "registration_closing": "2023-04-30",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 102,
            "name": "Data collection and registration of Expert Centres for Orphanet information scientists",
            "shortName": "",
            "description": "",
            "homepage": "",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/150x150.png",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2017-09-14",
            "end_date": null,
            "venue": "",
            "city": "Paris (à distance)",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        }
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}