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            "description": "La bioinformatique est devenue une compétence incontournable pour l'analyse de données de nature diverse : génomes, transcriptomes, protéomes, métabolomes, structures macromoléculaires, réseaux d'interactions. L'appropriation par les biologistes des méthodes et 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 Paris Diderot propose en partenariat avec l'Institut Français de Bioinformatique (IFB) la deuxième édition du Diplôme Universitaire en Bioinformatique intégrative (DU-Bii). Cette formation s’adresse en priorité à des biologistes en demande d'évolution ou de reconversion professionnelle 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). Les prérequis sont décrits sur le portail “DU” de l’université Paris Diderot, qui présente le DU-Bii et le DU complémentaire \"Création, Analyse et Valorisation de données omiques\" (DUO).\r\n\r\nLe DU-Bii fournira une formation théorique et pratique, complétée par une période d'immersion 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\nRenseignements et candidatures : fcsdv@univ-paris-diderot.fr\r\nInscriptions : voir la page page du DU-Bii de l'Université Paris Diderot\r\nContacts Paris-Diderot : Bertrand.Cosson@univ-paris-diderot.fr \r\nContacts IFB : Helene.Chiapello@inra.fr, Jacques.van-Helden@univ-amu.fr",
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            "homepage": "https://www.france-bioinformatique.fr/formation/single-cell-2022/",
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            "updated_at": "2022-09-15T13:10:14.790898Z",
            "type": "Training course",
            "start_date": "2022-01-09",
            "end_date": "2022-01-14",
            "venue": "Roscoff Biological Station\r\nPlace Georges Teissier",
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            "homepage": "https://abims.sb-roscoff.fr/training/courses",
            "is_draft": false,
            "costs": [
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            ],
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            "prerequisites": [
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            ],
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            ],
            "logo_url": "https://abims.sb-roscoff.fr/sites/default/files/abims.png",
            "updated_at": "2023-05-17T09:55:24.793130Z",
            "type": "Training course",
            "start_date": "2022-11-22",
            "end_date": "2022-11-22",
            "venue": "Station Biologique de Roscoff",
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            "country": "France",
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            "registration_opening": "2022-10-07",
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            "description": "In an effort to inform members of the research community about our annotation methods, to provide training for collaborators and other scientists who use the MicroScope platfom, and to inform scientific public on the analysis available in PkGDB (Prokaryotic Genome DataBase), we have developed a 4.5-day course in Microbial Genome Annotation and Comparative Analysis using the MaGe graphical interfaces.\r\n\r\nThis course will familiarize attendees with LABGeM’s annotation pipeline and the manual annotation software MaGe (Magnifying Genome) . No specific bioinformatics skill is required: detailed instruction on the algorithm developed in each annotation methods can be found in specific training courses on «Genomic sequences analysis». Here we focus on the general idea behind each method and, above all, the way you can interpret the corresponding results and combine them with other evidences in order to change or correct the current automatic functional annotation of a given gene, if necessary.\r\n\r\nThis course will also describe how to perform effective searches and analysis of procaryotic data using the graphical functionalities of the MaGe’s interfaces. Because of the numerous pre-computation available in our system (results of “common” annotation tools, synteny with all complete bacterial genomes, metabolic pathway reconstruction, fusion/fission events, genomic islands, …), many practical exercises allow attendees to get familiar with the use the MaGe graphical interfaces in order to efficiently explore these sets of results.",
            "homepage": "https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/training-annotation-analysis-of-prokaryotic-genomes-using-the-microscope-platform/",
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            "logo_url": "https://labgem.genoscope.cns.fr/wp-content/uploads/2019/06/MicroScope_logo-300x210.png",
            "updated_at": "2026-01-22T13:20:26.879727Z",
            "type": "Training course",
            "start_date": "2026-03-30",
            "end_date": "2026-04-03",
            "venue": "",
            "city": "Evry",
            "country": "",
            "geographical_range": "International",
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            "realisation_status": "future",
            "registration_opening": null,
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            "registration_status": "open",
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        },
        {
            "id": 601,
            "name": "Introduction to Linux",
            "shortName": "Introduction to Linux - BiRD",
            "description": "Objectives\r\n- Understand the principles and advantages of the Linux system\r\n- Know and use the main bash commands. Ability to chain multiple commands using pipes\r\n- Launch programs with arguments\r\n- Gain independence to perform command line analyses\r\n\r\nPedagogical Content\r\n- Introduction to the Linux system.\r\n- File system: directory structure, paths, home directory, file and directory management.\r\n- Principle of protections: reading file attributes, access rights, management of user groups.\r\n- Shell usage: command reminders, input/output redirection, history, completion, launching programs with arguments.\r\n- Commands relevant to bioinformatics: grep, cut, sed, sort, more, etc.\r\n- Connection (ssh) - how to start a session from Linux or Windows PowerShell",
            "homepage": "https://pf-bird.univ-nantes.fr/training/",
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            "logo_url": "https://bird.univ-nantes.io/website/images/logo/logo.svg",
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            "end_date": "2024-03-18",
            "venue": "Faculté de Pharmacie - Salle 450, 4ème étage",
            "city": "Nantes",
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        },
        {
            "id": 151,
            "name": "MOD2018",
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            "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/",
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            "venue": "",
            "city": "campus du Triolet, Université de Montpellier",
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        },
        {
            "id": 89,
            "name": "Rendre ses outils disponibles sur un cloud OpenStack",
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            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2017-06-19",
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