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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.",
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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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            ],
            "logo_url": "https://southgreenplatform.github.io/trainings//images/southgreenlong.png",
            "updated_at": "2023-12-04T15:38:04.906796Z",
            "type": "Training course",
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            "end_date": "2023-04-20",
            "venue": "",
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            "id": 294,
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            "type": "Training course",
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            "end_date": "2017-10-14",
            "venue": "",
            "city": "Lyon",
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            "geographical_range": "",
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            "venue": "Station Biologique",
            "city": "Roscoff",
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            "geographical_range": "",
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        },
        {
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            "name": "Pipelines et méthodes bioinformatiques pour l'analyse de données de séquençage (NGS) - session Octobre 2023",
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            "description": "Bilille propose des formations en partenariat avec CNRS Formation Entreprises à destination des chercheur-euse-s, enseignant-e-s-chercheur-euse-s, ingénieur-e-s, technicien-ne-s en biologie et médecine. \r\n\r\nObjectifs :\r\n- Comprendre les principes des méthodes d'analyse de données de séquençage à haut débit (NGS)\r\n- Comprendre les paramètres des méthodes et leur impact sur les résultats\r\n- Apprendre à identifier les outils d'analyse en fonction du jeu de données\r\n- Être autonome pour analyser des données dans un gestionnaire de workflow comme Galaxy\r\n- Savoir manipuler les fichiers de lecture de séquençage : extraction, préparation, filtrage / nettoyage\r\n- Savoir évaluer la qualité des données de séquençage\r\n- Savoir analyser des données de séquençage de génomes (avec ou sans génome de référence) et prendre du recul sur le protocole expérimental\r\n- Savoir analyser des données de RNA-seq (avec ou sans génome de référence) et prendre du recul sur le protocole expérimental",
            "homepage": "https://cnrsformation.cnrs.fr/pipelines-et-methodes-bioinformatiques-pour-analyse-de-donnees-de-sequencage",
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            ],
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            "end_date": "2023-10-20",
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        {
            "id": 46,
            "name": ": Analyse in silico de structures 3D de protéines. Modélisation par homologie de protéines homologues, sauvage et mutées, arrimage de ligands.",
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            "updated_at": "2022-06-02T11:50:50.627601Z",
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            "city": "Jouy en Josas",
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            "shortName": "",
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            ],
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            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2021-06-16",
            "end_date": "2021-06-17",
            "venue": "",
            "city": "",
            "country": "",
            "geographical_range": "International",
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            "courseMode": "Online"
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        {
            "id": 784,
            "name": "Introduction aux bonnes pratiques pour des analyses reproductibles - 2026",
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                {
                    "id": 88,
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                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=api"
                }
            ],
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        {
            "id": 639,
            "name": "Introduction to Linux",
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            "updated_at": "2026-01-27T10:37:38.355916Z",
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            "start_date": "2024-09-30",
            "end_date": "2024-09-30",
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            "city": "Nantes",
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