Handles creating, reading and updating events.

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            "name": "Cluster - November 19 2025",
            "shortName": "",
            "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",
                "Non-academic: 550€ + 20% taxes (TVA)",
                "Academic but non-INRAE: 170 € + 20% taxes (TVA)",
                "For INRAE's staff: 150 € no VAT charged;"
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            "accessConditions": "You need to register (via the website) and pay 170 euros a day for academic and 550 euros a day for a private.",
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                    "id": 37,
                    "name": "MIAT - Mathématiques et Informatique Appliquées de Toulouse",
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            "updated_at": "2025-05-09T13:20:51.071696Z",
            "type": "Training course",
            "start_date": "2025-11-19",
            "end_date": "2025-11-19",
            "venue": "",
            "city": "castanet-tolosan",
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                    "id": 140,
                    "name": "Cluster TP - Genotoul-bioinfo",
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            "id": 641,
            "name": "Environments and best practices for using the BiRD cluster",
            "shortName": "Best practices BiRD cluster",
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            "homepage": "https://pf-bird.univ-nantes.fr/training/cluster/",
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            "logo_url": "https://bird.univ-nantes.io/website/images/logo/logo.svg",
            "updated_at": "2026-01-27T10:38:01.290168Z",
            "type": "Training course",
            "start_date": "2024-10-01",
            "end_date": "2024-10-01",
            "venue": "",
            "city": "Nantes",
            "country": "",
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            "id": 497,
            "name": "Linux Avancé / Advanced Linux - 2022 Session2",
            "shortName": "Advanced Linux - 2022 Session 2",
            "description": "Objectifs\r\n- Savoir utiliser des commandes linux pour traiter de grosses quantités de données : fichiers\r\nvolumineux et/ou en grands nombres : recherche, comptage, tri, fusion, …\r\nProgramme\r\n- Introduction\r\n- Décrire (wc, grep)\r\n- Manipuler des fichiers tabulés (cut, sort)\r\n- Rechercher (grep)\r\n- Redirection / Pipeline (stdin, stdout, stderr, >, 2>, &&, |)\r\n- Recherche avancée : notion d’expression régulière (egrep)\r\n- Rechercher/Remplacer haut débit (tr, sed)\r\n- Manipulation de fichier tabulé – mode avancé (awk)\r\n- Traitement séquentiel de nombreux fichiers (for)",
            "homepage": "https://abims.sb-roscoff.fr/training/courses",
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                "Free"
            ],
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                "Linux - Basic Knowledge"
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                    "id": 65,
                    "name": "SBR - Roscoff Marine Station",
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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",
            "city": "Roscoff",
            "country": "France",
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            "name": "12ème Ecole de Bioinformatique AVIESAN-IFB-Inserm",
            "shortName": "EBAII 2023 niv1",
            "description": "La formation s’adresse à des biologistes directement impliqués dans des projets “Next Generation Sequencing” (NGS). Cette édition de l’école aborde les nouveaux enjeux technologiques: elle s’articulera autour de quatres ateliers thématiques en session parallèle (RNA-seq, ChIP-seq/ATAC-seq, variants DNA-seq, single-cell), et inclura une introduction à l’intégration des données, une ouverture aux technologies “long reads”.\r\n\r\nL’école vise à introduire les concepts et à manipuler les outils informatiques et à en interpréter les résultats. Elle est basée sur une alternance de courtes sessions théoriques et d’ateliers pratiques. Les participants bénéficieront d’un tutorat personnalisé pour élaborer leur plan d’analyse, et effectuer les premières étapes de traitement de leurs propres données ou de celles de leur plateforme.",
            "homepage": "https://ifb-elixirfr.github.io/EBAII/",
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                "Sequence analysis",
                "NGS Sequencing Data Analysis"
            ],
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            "openTo": "Everyone",
            "accessConditions": "La formation s’adresse à des biologistes directement impliqués dans des projets “Next Generation Sequencing” (NGS). \r\nAucune connaissance préalable des environnements Linux ou R n’est requise, mais il sera demandé aux participants de suivre une autoformation en ligne en amont, pour faciliter la prise en main de ces langages. La formation approfondira progressivement l’usage de ces environnements au fil des sessions thématiques.",
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                    "name": "BiGEst",
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                    "name": "IFB Core",
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            "updated_at": "2023-05-17T10:08:18.619532Z",
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            "id": 658,
            "name": "Annotation and analysis of prokaryotic genomes using the MicroScope platform - March 2025",
            "shortName": "MicroScope training - March 2025",
            "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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            "costs": [
                "Priced"
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            "topics": [
                "http://edamontology.org/topic_0085",
                "http://edamontology.org/topic_3301",
                "http://edamontology.org/topic_0797"
            ],
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            "prerequisites": [
                "Licence"
            ],
            "openTo": "Everyone",
            "accessConditions": "External training sessions can also be scheduled on demand, in France or abroad. See : https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/external-microscope-professional-training-sessions/",
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                    "id": 15,
                    "name": "Laboratory of Bioinformatics Analyses for Genomics and Metabolism",
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            ],
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                    "id": 71,
                    "name": "University of Évry Val d'Essonne",
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            "updated_at": "2025-01-23T13:31:47.576548Z",
            "type": "Training course",
            "start_date": "2025-03-24",
            "end_date": "2025-03-28",
            "venue": "",
            "city": "Evry",
            "country": "France",
            "geographical_range": "",
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        {
            "id": 643,
            "name": "Artificial Intelligence and Machine Learning in Life Sciences: from foundations to applications 2025",
            "shortName": "AI & ML in LS 2025",
            "description": "Artificial intelligence (AI) has permeated our lives, transforming how we live and work. Over the past few years, a rapid and disruptive acceleration of progress in AI has occurred, driven by significant advances in widespread data availability, computing power and machine learning. Remarkable strides were made in particular in the development of foundation models - AI models trained on extensive volumes of unlabelled data. Moreover, given the large amounts of omics data that are being generated and made accessible to researchers due to the drop in the cost of high-throughput technologies, analysing these complex high-volume data is not trivial, and the use of classical statistics can not explore their full potential. As such, Machine Learning (ML) and Artificial Intelligence (AI) have been recognized as key opportunity areas, as evidenced by a number of ongoing activities and efforts throughout the community.\r\n\r\nHowever, beyond the technological advances, it is equally important that the individual researchers acquire the necessary knowledge and skills to fully take advantage of Machine Learning. Being aware of the challenges, opportunities and constraints that ML applications entail, is a critical aspect in ensuring high quality research in life sciences.\r\n\r\nRecognizing this need, this week-long training will bring together experts from four ELIXIR Nodes and deliver a hands-on, high-intensity course available for members from all ELIXIR Nodes.\r\n\r\nLearners will be guided across the various steps in Machine Learning, from the foundational concepts, through the deep learning and generative AI techniques, closely complemented by insights into the existing reporting (DOME Recommendations) and regulatory frameworks (EU AI Act).\r\n\r\nThis 4-day school will involve around 10 trainers/helpers from across 4 different ELIXIR nodes and 30 participants from across all ELIXIR nodes. It will be hosted in France in May 2025.",
            "homepage": "https://moodle.france-bioinformatique.fr/enrol/index.php?id=34",
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                "http://edamontology.org/topic_3474",
                "http://edamontology.org/topic_0091"
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                "Artificial Intelligence",
                "Machine learning",
                "Python"
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                "Intermediate Python programming",
                "Machine Learning basics",
                "Data analysis"
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            "logo_url": "https://www.dissco.eu/wp-content/uploads/Elixir-Europe-logo-1-300x226.png",
            "updated_at": "2024-12-19T15:43:33.918124Z",
            "type": "Training course",
            "start_date": "2025-05-19",
            "end_date": "2025-05-23",
            "venue": "CAES Centre Paul-Langevin",
            "city": "Aussois",
            "country": "France",
            "geographical_range": "International",
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            "registration_opening": "2024-12-18",
            "registration_closing": "2025-01-24",
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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/",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [
                "http://edamontology.org/topic_0605"
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            "prerequisites": [],
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            "logo_url": "https://bird.univ-nantes.io/website/images/logo/logo.svg",
            "updated_at": "2024-02-19T09:37:34.209594Z",
            "type": "Training course",
            "start_date": "2024-03-18",
            "end_date": "2024-03-18",
            "venue": "Faculté de Pharmacie - Salle 450, 4ème étage",
            "city": "Nantes",
            "country": "",
            "geographical_range": "National",
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            "registration_opening": "2024-02-08",
            "registration_closing": "2024-03-15",
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        },
        {
            "id": 400,
            "name": "Diplôme Universitaire en Bioinformatique Intégrative - session  2020 / University Diploma in Integrative Bioinformatics - 2020 session",
            "shortName": "DUBii 2020",
            "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. L'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) : voir la page dédiée. Le 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. Cette formation se déroulera pendant 8 semaines réparties entre : Les cours : 4 semaines à raison de 4 jours/semaine en présentiel (96h) du 2 mars au 2 avril 2020 avec 1 semaine de césure la semaine 12). Le projet tutoré : 20 jours sur l'une des plateformes bioinformatique de l'IFB, à répartir entre le 6 avril et le 19 juin 2020.\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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            "updated_at": "2022-06-02T11:50:50.627601Z",
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            "end_date": "2020-11-18",
            "venue": "Université Paris Diderot",
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        {
            "id": 690,
            "name": "Traitement bioinformatique et analyse différentielle de données d’expression RNA-seq sous Galaxy : 2025",
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            "updated_at": "2025-01-29T11:32:09.198019Z",
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            "city": "Jouy-en-Josas",
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            "id": 709,
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            "homepage": "https://mesocentre.uca.fr/actualites/pratiques-fair-en-bioinformatique-pour-des-analyses-reproductibles",
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            "costs": [
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            ],
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                "http://edamontology.org/topic_3307",
                "http://edamontology.org/topic_0091"
            ],
            "keywords": [
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                "Programming Languages & Computer Sciences",
                "Cloud",
                "Linux",
                "Snakemake",
                "Docker",
                "R"
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                "Linux - Basic Knowledge"
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                    "id": 101,
                    "name": "iGReD",
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            "logo_url": "https://mesocentre.uca.fr/medias/photo/logoaubi-2019minus_1553844844490-jpg?ID_FICHE=41175",
            "updated_at": "2025-02-17T13:11:26.183643Z",
            "type": "Training course",
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            "end_date": "2025-02-21",
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            "city": "Aubière",
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            ],
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            "registration_closing": "2025-05-12",
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        {
            "id": 730,
            "name": "Interactive Online Companionship - R formation Session 2026",
            "shortName": "IOC - R",
            "description": "Introduction R for data science (November 2025 to January 2026) – 10 sessions of 3 hours – €800\r\n\r\nThis course covers the basics of R, data organization and filtering, basic statistics, and creation of publication-ready graphics. The goal is to make you self-sufficient in using R for your own analyses.\r\n\r\n\r\nKey Highlights:\r\n\r\nSmall group sessions for interactive and personalized learning.\r\nHybrid mode with 3 in-person sessions and 7 remote sessions.\r\nHands-on practice with an individualized project presented at the end of each training course.\r\nTailored feedback on your own data.\r\nLimited spots available, registration is now open.",
            "homepage": "https://inforbio.github.io/ioc_r_scrnaseq.html",
            "is_draft": false,
            "costs": [
                "Priced",
                "800€ for Academics",
                "Private Sector : price on demand"
            ],
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            "prerequisites": [
                "none"
            ],
            "openTo": "Everyone",
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            "maxParticipants": 8,
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                {
                    "id": 18,
                    "name": "IBiSA",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IBiSA/?format=api"
                },
                {
                    "id": 19,
                    "name": "Sorbonne Université",
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            ],
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            "logo_url": "https://github.com/InforBio/InforBio.github.io/blob/main/images/logoInforBio_fond_blanc.png?raw=true",
            "updated_at": "2025-09-11T14:29:43.872903Z",
            "type": "Training course",
            "start_date": "2025-11-02",
            "end_date": "2026-01-31",
            "venue": "",
            "city": "Online",
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        },
        {
            "id": 634,
            "name": "Short-Read Alignment And Small Size Variants Calling - session 9/10/2024 - 10/10/2024",
            "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/",
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                "http://edamontology.org/topic_0102"
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            ],
            "logo_url": "https://bioinfo.genotoul.fr/wp-content/uploads/sigenae-text-black-1.png",
            "updated_at": "2024-06-10T12:36:32.603065Z",
            "type": "Training course",
            "start_date": "2024-10-09",
            "end_date": "2024-10-10",
            "venue": "",
            "city": "castanet-tolosan",
            "country": "France",
            "geographical_range": "",
            "trainers": [
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                "https://catalogue.france-bioinformatique.fr/api/userprofile/31/?format=api"
            ],
            "trainingMaterials": [],
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            "realisation_status": "past",
            "registration_opening": "2024-06-05",
            "registration_closing": "2024-10-02",
            "registration_status": "closed",
            "courseMode": "Online"
        },
        {
            "id": 694,
            "name": "Analyse de données métagénomiques shotgun : 2025",
            "shortName": "Shotgun metagenomics",
            "description": "Objectifs pédagogiques\r\n\r\nCette formation est dédiée à l’analyse de données métagénomiques procaryotes de type « shotgun » issues de la technologie de séquençage Illumina. Nous présenterons les étapes bioinformatiques nécessaires pour nettoyer les données brutes et les caractériser d’un point de vue taxonomique. Nous aborderons ensuite les différentes stratégies à employer pour assembler les reads et obtenir des comptages sur des gènes prédits. Enfin nous présenterons quelques outils pour obtenir une annotation fonctionnelle des échantillons. A l’issue des 2 jours de formation, les stagiaires connaîtront le périmètre, les avantages et limites des analyses de données de séquençage shotgun. Ils seront capables d’utiliser les outils présentés sur les jeux de données de la formation. L’ensemble des TP se déroulera sur l’infrastructure de Migale et nécessite une pratique courante de la ligne de commande.\r\n\r\nProgramme\r\n\r\nIntroduction générale sur les données métagénomiques\r\nAssignation taxonomique\r\nNettoyage des données brutes\r\nAssemblage / Binning\r\nPrédiction de gènes procaryotes\r\nAnnotation fonctionnelle\r\nConclusion, limites des méthodes",
            "homepage": "https://documents.migale.inrae.fr/trainings.html",
            "is_draft": false,
            "costs": [
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            ],
            "topics": [
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            ],
            "keywords": [
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            "prerequisites": [
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            ],
            "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png",
            "updated_at": "2025-01-23T15:37:58.423739Z",
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            "end_date": "2025-05-07",
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        },
        {
            "id": 699,
            "name": "Modélisation in silico de structures 3D de protéines. Prédiction de mutations, de fixation de ligands  : 2025",
            "shortName": "Modélisation de structures 3D de protéines",
            "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»",
            "homepage": "https://documents.migale.inrae.fr/trainings.html",
            "is_draft": false,
            "costs": [
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            ],
            "topics": [
                "http://edamontology.org/topic_1317"
            ],
            "keywords": [
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                "2D/3D",
                "Protein/protein interaction modelisation"
            ],
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                    "id": 88,
                    "name": "BioinfOmics",
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            ],
            "organisedByTeams": [],
            "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png",
            "updated_at": "2025-01-23T15:44:32.386212Z",
            "type": "Training course",
            "start_date": "2025-06-04",
            "end_date": "2025-06-05",
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            "registration_opening": "2025-01-21",
            "registration_closing": "2025-05-20",
            "registration_status": "closed",
            "courseMode": "Online"
        },
        {
            "id": 531,
            "name": "Improve your command line skills by learning a few words of Perl - session 28/11/2023",
            "shortName": "",
            "description": "This “Perl one-liners” training session is organized by the Sigenae platform. Perl one-liners are small and awesome Perl programs that fit in a single line of code and perform many operations such as replacing of text, spacing, deleting, calculation, manipulation in files and many more. This training will allow you to discover the power of Perl on the command line and learn how to use it to automate your file manipulations and command line generation with classical file formats such as tabulated text, fastq, sam/bam, and vcf.\r\n\r\nThis training lasts one day and is focused on practice. It consists of 3 parts with a large variety of exercises:\r\n\r\nIntroduction to Perl and its characteristics: Perl is a widely used programming language for data processing and task automation. We will introduce the main characteristics of Perl and discuss why it is particularly suited for biologists who want to manipulate files and generate command lines.\r\nPerl on the command line: we will show how to use Perl on the command line to perform common tasks, such as searching and replacing strings, merging files, and loop over lists of files.\r\nConcrete examples: we will present several concrete examples drawn from biology, such as extracting information from genomic sequence files, converting files between different formats, and generating command lines for data biology tools.\r\n \r\nThe session will take place in the room ‘salle de formation MIAT’ at INRAE center of Toulouse-Auzeville.",
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                "Academic but non-INRAE: 170 € + 20% taxes (TVA)",
                "For INRAE's staff: 150 € no VAT charged;"
            ],
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            "keywords": [
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            ],
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            ],
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            "registration_closing": "2023-11-22",
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            ],
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            ],
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                "http://edamontology.org/topic_3301",
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            ],
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                    "id": 15,
                    "name": "Laboratory of Bioinformatics Analyses for Genomics and Metabolism",
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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": "past",
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        },
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            "id": 546,
            "name": "Cycle « Analyse de données de séquençage à haut-débit » - Module 1/6 : Analyses ADN - session Février 2021",
            "shortName": "",
            "description": "Bilille propose chaque année un cycle de formation d'introduction à l'analyse des données de séquençage à haut débit.\r\nCe cycle est composé de 6 modules, à la carte : \r\n- Module 1: Analyses ADN\r\n- Module 2: Analyses de variants\r\n- Module 3 : Métagénomique\r\n- Module 4: ChIP-seq\r\n- Module 5: Analyses RNA-seq, bioinformatique\r\n- Module 6: Analyses RNA-seq, biostatistique\r\nLes fiches descriptives sont accessibles sur le site de Bilille. Chaque module comprend des présentations générales et des séances pratiques sur ordinateur, avec Galaxy.\r\nLes objectifs du module 1 sont :\r\n- Apprendre à manipuler des données de séquençage d’ADN\r\n- Réaliser des contrôles de qualité et du nettoyage des lectures\r\n- Présenter les méthodes et outils d'alignement\r\n- Réaliser des contrôles de qualité et des alignements sur une référence\r\n- Introduction à l’assemblage des lectures sans référence\r\n- Utiliser la plateforme Galaxy pour ces analyses",
            "homepage": "https://bilille.univ-lille.fr/training/training-offer",
            "is_draft": false,
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            ],
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            ],
            "logo_url": "https://bilille.univ-lille.fr/fileadmin/_processed_/9/2/csm_logo_bilille_complet_65be9bda8b.png",
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        },
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            "description": "Bilille propose chaque année un cycle de formation d'introduction à l'analyse des données de séquençage à haut débit.\r\nCe cycle est composé de 6 modules, à la carte : \r\n- Module 1: Analyses ADN\r\n- Module 2: Analyses de variants\r\n- Module 3 : Métagénomique\r\n- Module 4: ChIP-seq\r\n- Module 5: Analyses RNA-seq, bioinformatique\r\n- Module 6: Analyses RNA-seq, biostatistique\r\nLes fiches descriptives sont accessibles sur le site de Bilille. Chaque module comprend des présentations générales et des séances pratiques sur ordinateur, avec Galaxy.\r\nLes objectifs du module 1 sont :\r\n- Apprendre à manipuler des données de séquençage d’ADN\r\n- Réaliser des contrôles de qualité et du nettoyage des lectures\r\n- Présenter les méthodes et outils d'alignement\r\n- Réaliser des contrôles de qualité et des alignements sur une référence\r\n- Introduction à l’assemblage des lectures sans référence\r\n- Utiliser la plateforme Galaxy pour ces analyses",
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            ],
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