Handles creating, reading and updating events.

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            "name": "HOW TO RUN A NF-CORE NEXTFLOW WORKFLOW ON GENOTOUL ? December 1er 2025",
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            "name": "Annotation and analysis of prokaryotic genomes using the MicroScope platform - November 2025",
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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.",
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            "updated_at": "2025-01-23T13:31:56.736534Z",
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            "name": "RNASEQ ALIGNMENT, QUANTIFICATION AND TRANSCRIPT DISCOVERY WITH STATISTICS - 24-27 November  2025",
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            "description": "The Toulouse Genotoul bioinformatics platform, in collaboration with the Genotoul Biostatistics platform, and the MIAT unit, organize a 3,5 days long training course for bio-informaticians and biologists aiming at learning sequence analysis. It focuses on (protein coding) gene expression analysis using reads produced by ‘RNA-Seq’. This training session is designed to introduce sequences from ‘NGS’ (Next Generation Sequencing), particularly Illumina platforms (HiSeq). You will discover the standards file formats, learn about the usual biases of this type of data and run different kinds of analyses, such as spliced alignment on a reference genome, novel gene and transcript discovery, expression quantification of coding genes and transcripts. Finally you will be able to extract the differentially expressed genes.",
            "homepage": "https://bioinfo.genotoul.fr/index.php/events/rnaseq-alignment-transcripts-assemblies-statistics/",
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            "name": "EBAII : Ecole de Bioinformatique \"Traitement des données de génomique obtenues par séquençage à haut débit\"  niveau débutant - session 2025",
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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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                    "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=api"
                }
            ],
            "logo_url": "http://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png",
            "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",
            "country": "France",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [
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                    "id": 139,
                    "name": "Cluster Slides - Genotoul-bioinfo",
                    "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Cluster%20Slides%20-%20Genotoul-bioinfo/?format=api"
                },
                {
                    "id": 140,
                    "name": "Cluster TP - Genotoul-bioinfo",
                    "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Cluster%20TP%20-%20Genotoul-bioinfo/?format=api"
                }
            ],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2025-05-09",
            "registration_closing": "2025-11-12",
            "registration_status": "closed",
            "courseMode": "Online"
        },
        {
            "id": 719,
            "name": "LINUX - Novembre 18 2025",
            "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": [],
            "prerequisites": [
                "none"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 10,
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                {
                    "id": 37,
                    "name": "MIAT - Mathématiques et Informatique Appliquées de Toulouse",
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                }
            ],
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                    "id": 22,
                    "name": "Genotoul-bioinfo",
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            ],
            "logo_url": "http://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png",
            "updated_at": "2025-05-09T13:20:41.290573Z",
            "type": "Training course",
            "start_date": "2025-11-18",
            "end_date": "2025-11-18",
            "venue": "",
            "city": "castanet-tolosan",
            "country": "France",
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            "registration_opening": "2025-05-09",
            "registration_closing": "2025-11-11",
            "registration_status": "closed",
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            "id": 703,
            "name": "Python scripts for bioinformatics and Linux - Session 2025",
            "shortName": "Scripts en Python pour la bioinformatique et environnement Linux",
            "description": "OBJECTIFS\r\n- Connaître les principes et les avantages du système Linux\r\n- Connaître et savoir utiliser les commandes de base permettant de lancer des programmes sous Linux\r\n- Comprendre et savoir lancer des scripts\r\n- Être capable d'écrire des scripts en Python\r\n- Acquérir de l'autonomie pour effectuer des analyses bioinformatiques qui combinent plusieurs outils \r\n\r\nPRÉREQUIS\r\n- Notions de base en informatique : fichiers, répertoires, etc. \r\n\r\nPROGRAMME\r\n- Linux : lignes de commandes, principales commandes, redirection\r\n- Lancer, créer et modifier des scripts\r\n- Notions de variables, de boucles, de choix\r\n- Programmation de scripts : utilisation de paramètres et de variables, combinaison d'outils et de logiciels, écriture des résultats dans un ou plusieurs fichiers\r\n- Création d'un pipeline d'outils",
            "homepage": "https://cnrsformation.cnrs.fr/linux-et-script-pour-bioinformatique",
            "is_draft": false,
            "costs": [
                "1200 €"
            ],
            "topics": [],
            "keywords": [
                "Linux",
                "Python Language"
            ],
            "prerequisites": [],
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            "accessConditions": "",
            "maxParticipants": 12,
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            ],
            "organisedByTeams": [
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                    "id": 7,
                    "name": "ATGC",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/ATGC/?format=api"
                }
            ],
            "logo_url": null,
            "updated_at": "2025-02-11T08:50:54.103356Z",
            "type": "Training course",
            "start_date": "2025-11-04",
            "end_date": "2025-11-07",
            "venue": "",
            "city": "Montpellier",
            "country": "France",
            "geographical_range": "",
            "trainers": [],
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            "realisation_status": "past",
            "registration_opening": "2025-02-01",
            "registration_closing": "2025-10-20",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
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            "id": 738,
            "name": "Soumission de données et métadonnées à BioSample et ENA - 2025",
            "shortName": "FAIR Data EBI 2025",
            "description": "Nous vous proposons une formation en ligne sur le processus et les outils mis en place dans le cadre des projets AgroDiv et BReIF pour soumettre des données à ENA (EMBL-EBI) associées à des descriptions riches des échantillons séquencés dans BioSamples. Le webinaire abordera une explication approfondie des fichiers d'entrée requis pour la soumission, des champs demandés dans les template ainsi qu'une démonstration de l'utilisation des scripts développés pour automatiser la soumission des données et simplifier le processus.",
            "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=44",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [
                "http://edamontology.org/topic_3366",
                "http://edamontology.org/topic_0625",
                "http://edamontology.org/topic_0219",
                "http://edamontology.org/topic_0780",
                "http://edamontology.org/topic_0091"
            ],
            "keywords": [
                "Données"
            ],
            "prerequisites": [
                "none"
            ],
            "openTo": "Everyone",
            "accessConditions": "Ce webinaire est ouvert à tous : n’hésitez pas à disséminer l’information dans vos unités.\r\nLes participants doivent s’inscrire ici : https://sondages.inrae.fr/index.php/768122?lang=fr",
            "maxParticipants": null,
            "contacts": [
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                "https://catalogue.france-bioinformatique.fr/api/userprofile/3/?format=api"
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            "elixirPlatforms": [],
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                    "id": 22,
                    "name": "BReIF",
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                }
            ],
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                    "id": 82,
                    "name": "INRAE",
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                {
                    "id": 39,
                    "name": "URGI - US1164",
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                }
            ],
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                    "id": 26,
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            ],
            "logo_url": "https://urgi.versailles.inra.fr/extension/inra/design/urgi/images/logoURGI_res72_2-82X1-98.png",
            "updated_at": "2025-10-10T12:42:20.404551Z",
            "type": "Training course",
            "start_date": "2025-11-06",
            "end_date": "2025-11-06",
            "venue": "",
            "city": "Online",
            "country": "",
            "geographical_range": "National",
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                "https://catalogue.france-bioinformatique.fr/api/userprofile/3/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/813/?format=api"
            ],
            "trainingMaterials": [
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                    "id": 147,
                    "name": "Data-brokering script",
                    "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Data-brokering%20script/?format=api"
                }
            ],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2025-10-09",
            "registration_closing": "2025-10-24",
            "registration_status": "closed",
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        },
        {
            "id": 664,
            "name": "Les langages de workflows pour une analyse bioinformatique reproductible / Workflow languages for reproducible bioinformatics analysis",
            "shortName": "WF4bioinfo",
            "description": "L’Institut Français de Bioinformatique (IFB) organise en partenariat avec iPOP-UP (représenté par EDC) une formation sur les langages de workflows en bioinformatique à destination des bioinformaticien·ne·s et des bioanalystes. La formation abordera les fondamentaux et les fonctionnalités avancées des deux langages Snakemake et Nextflow. Ces outils sont en effet devenus indispensables pour assurer la reproductibilité et l’efficacité des analyses bioinformatiques. La formation sera structurée en deux séquences :\r\n- une journée commune qui abordera les grands principes des gestionnaires de workflow, en particulier dans le domaine de la bioinformatique et en lien avec les infrastructures de calcul de type cluster et cloud proposés au sein de l’IFB \r\n- une  journée de session pratique  avec 1 atelier snakemake et 1 atelier nextflow en parallèle au choix des participants. Nous proposons aux participants qui le souhaitent de travailler sur leur propre workflow dans une approche “Bring your own script” avec l’aide de l’équipe pédagogique.",
            "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=36",
            "is_draft": false,
            "costs": [],
            "topics": [
                "http://edamontology.org/topic_0091",
                "http://edamontology.org/topic_0769"
            ],
            "keywords": [
                "FAIR",
                "Reproducibility",
                "Nextflow",
                "Snakemake"
            ],
            "prerequisites": [
                "Linux - Basic Knowledge"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 20,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/326/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/804/?format=api"
            ],
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                    "id": 4,
                    "name": "IFB - ELIXIR-FR",
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                }
            ],
            "organisedByTeams": [
                {
                    "id": 38,
                    "name": "PB-IBENS",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/PB-IBENS/?format=api"
                }
            ],
            "logo_url": "https://moodle.france-bioinformatique.fr/pluginfile.php/1/core_admin/logocompact/300x300/1654772049/IFB-HAUT-COULEUR-PETIT.png",
            "updated_at": "2025-09-23T09:21:52.846631Z",
            "type": "Training course",
            "start_date": "2025-09-29",
            "end_date": "2025-10-01",
            "venue": "",
            "city": "Paris",
            "country": "France",
            "geographical_range": "",
            "trainers": [],
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            "computingFacilities": [],
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            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": "Onsite"
        },
        {
            "id": 665,
            "name": "Interactive Online Companionship - SingleCell RNAseq Analysis 2025",
            "shortName": "IOC - SingleCell",
            "description": "InforBio offers online bioinformatics training tailored to the needs of research labs, with small group sessions to ensure personalized learning. Our program is designed to help you acquire key skills for independent data analysis.\r\n\r\nWe offer a comprehensive 3-month program, including a post-training feedback session to support practical application.\r\n\r\nAnalyse de données scRNAseq (avril à juin 2025) – 10 sessions de 2h30 – 2000 € Apprenez à analyser des données de séquençage ARN en cellules uniques grâce à des cas pratiques.Vous travaillerez d’abord sur un jeu de données fourni, puis sur vos propres données, avec un retour personnalisé sur votre projet. Cette formation requiert une bonne maîtrise de R.\r\n\r\nKey Highlights:\r\nSmall group sessions for interactive and personalized learning.\r\nTailored feedback on your own data to reinforce the learning process.\r\nLimited spots available, registration is now open.",
            "homepage": "https://inforbio.github.io/ioc_r_scrnaseq.html",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "Single-Cell Analysis"
            ],
            "prerequisites": [
                "R programming"
            ],
            "openTo": "Everyone",
            "accessConditions": "Followed R training or equivalent level",
            "maxParticipants": 6,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/809/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [
                {
                    "id": 18,
                    "name": "IBiSA",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IBiSA/?format=api"
                },
                {
                    "id": 19,
                    "name": "Sorbonne Université",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Sorbonne%20Universit%C3%A9/?format=api"
                }
            ],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "https://github.com/InforBio/InforBio.github.io/blob/main/images/logoInforBio_fond_blanc.png?raw=true",
            "updated_at": "2024-12-11T08:35:29.702215Z",
            "type": "Training course",
            "start_date": "2025-04-07",
            "end_date": "2025-06-30",
            "venue": "",
            "city": "online",
            "country": "",
            "geographical_range": "",
            "trainers": [],
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            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2024-12-01",
            "registration_closing": "2024-12-31",
            "registration_status": "closed",
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        },
        {
            "id": 535,
            "name": "Analyse de données de métabarcoding : 2025",
            "shortName": "Analyse de données de métabarcoding",
            "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\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).\r\nIls seront capables d’utiliser les outils de FROGS sur les jeux de données de la formation (16S et ITS).\r\nIls seront capables d’identifier les outils et méthodes adaptées au cadre de leurs analyses.\r\nS’ils ont en leur possession un jeu de données à analyser, ils sont encouragés à venir avec celui- ci.",
            "homepage": "https://migale.inrae.fr/trainings/",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 10,
            "contacts": [],
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            "organisedByOrganisations": [
                {
                    "id": 82,
                    "name": "INRAE",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 10,
                    "name": "MIGALE",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api"
                }
            ],
            "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png",
            "updated_at": "2025-01-23T15:50:14.223205Z",
            "type": "Training course",
            "start_date": "2025-06-23",
            "end_date": "2025-06-26",
            "venue": "Access to the INRAE center reception\r\n By car\r\n\r\n    Take the N118 from the Paris rotary Porte de Saint-Cloud > Pont de Sèvres > Follow direction Bordeaux/Nantes – take exit 6A Jouy-en-Josas/Bièvres\r\n    Take the N12 from Plaisir > Follow direction Paris exit 1 towards the D53\r\n    Take the A12 Rambouillet > Jouy – take exit 2 via the D446\r\n\r\n By the RER (train to the suburbs)\r\n\r\nRER C Line: Get off at the Jouy-en-Josas station. The research center is a 15 minute walk (you must walk towards the town hall (Mairie de Jouy).\r\n\r\n    From Chatelet-Les Halles, take the RER B line until the Massy-Palaiseau station (32 min.) then take the RER C line CIME train (14 min.)\r\n    From Versailles-Chantier RER C station take the VICK or VITY train (8 min.)\r\n    From the Bibliothèque François Mitterand RER C station, take the CIME train (1 hour)",
            "city": "Jouy-en-Josas",
            "country": "frnce",
            "geographical_range": "",
            "trainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/473/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/743/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/415/?format=api"
            ],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2025-01-22",
            "registration_closing": "2025-06-08",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 741,
            "name": "Initiation à Galaxy - session Juin 2025",
            "shortName": "",
            "description": "Bilille organise régulièrement des formations d'initiation à l'outil Galaxy d'une journée, destinée aux biologistes et médecins désirant découvrir le traitement bioinformatique de données via une interface conviviale.\r\n\r\nGalaxy est très répandu pour l’analyse de données omiques, telles que données de séquençage ou données de puces à ADN. \r\nC'est l'environnement qui est utilisé lors du cycle de formation “Analyse de données de séquençage à haut-débit”.",
            "homepage": "https://bilille.univ-lille.fr/training/training-offer",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [
                "Galaxy"
            ],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "Ouvert en priorité aux participants du cycle Analyse NGS organisé par Bilille.",
            "maxParticipants": 12,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/763/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/487/?format=api"
            ],
            "elixirPlatforms": [],
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                {
                    "id": 3,
                    "name": "Bilille",
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            ],
            "logo_url": "https://bilille.univ-lille.fr/fileadmin/_processed_/9/2/csm_logo_bilille_complet_65be9bda8b.png",
            "updated_at": "2025-11-21T16:39:58.895195Z",
            "type": "Training course",
            "start_date": "2025-06-23",
            "end_date": "2025-06-23",
            "venue": "",
            "city": "Villeneuve d'Ascq",
            "country": "France",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
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        },
        {
            "id": 726,
            "name": "Metagenomics and Metatranscriptomics initiation - 2025 session",
            "shortName": "Metagenomics 2025",
            "description": "Présentation de la formation\r\nA la demande du laboratoire d'Ecologie Microbienne de Lyon, l'équipe Formation de l'IFB organise une session de formation de deux jours sous Galaxy pour l'analyse de données de métagénomique et métatranscriptomique.\r\n\r\nObjectifs pédagogiques\r\nA la fin de cette formation, les participants auront \r\n\r\n- acquis des connaissances théoriques et pratiques sur les méthodes et objectifs d'une analyse en métagénomique et métatranscriptomique\r\n\r\n - réalisé une analyse de données de données métataxonomique, métagénomique shotgun et métatranscriptomique sous l'environnement Galaxy et sur des données fournies par l'équipe pédagogique\r\n\r\n- choisi et initié une analyse sur un jeu de données de leur choix en bénéficiant de l'encadrement de l'équipe pédagogique (Bring Your Own Data sessions)",
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                "http://edamontology.org/topic_3941",
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            "prerequisites": [
                "Galaxy - Basic usage"
            ],
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            "updated_at": "2025-07-16T11:47:31.510580Z",
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            "end_date": "2025-06-18",
            "venue": "",
            "city": "Villeurbanne",
            "country": "France",
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            "id": 700,
            "name": "Manipulation de données avec R, introduction à tidyverse : 2025",
            "shortName": "Introduction à tidyverse",
            "description": "Objectifs pédagogiques\r\nA l’issue de la formation, les stagiaires seront capables de :\r\n* utiliser les principales fonctions des packages dplyr et tidyr de l’écosystème du « tidyverse »\r\n* lire les données et les ranger dans un format « tidy »\r\n* manipuler les données : filtrer, sélectionner, trier, produire des résultats par groupe, fusionner plusieurs tables\r\n* mettre en forme et pivoter les tables de données\r\n\r\nProgramme\r\n* Principes du tidyverse\r\n* Principales fonctions de manipulation de données du package dplyr : ajouter de nouvelles variables, sélectionner des colonnes, filtrer des lignes, trier, grouper, fusionner des tables\r\n* Enchaînements des opérations à l’aide de « pipe »\r\n* Mise en forme, jointure et pivot de données avec le package tidyr\r\n* Mise en application sur un exemple d’analyse de données de transcriptomique.",
            "homepage": "https://documents.migale.inrae.fr/trainings.html",
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                    "id": 88,
                    "name": "BioinfOmics",
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            "description": "Objectifs\r\nLa 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 trois ateliers thématiques en session parallèle (bulk RNA-seq, ChIP-seq, variants génomiques/GWAS), et abordera la visualisation et l’intégration des données. L’école vise à approfondir les concepts, à manipuler des outils informatiques avancés et à en interpréter les résultats.\r\nElle 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.\r\nAttention : le tutorat n'a pas pour vocation de réaliser l’analyse complète des données des participants.",
            "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=35",
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                "http://edamontology.org/topic_3391",
                "http://edamontology.org/topic_3366",
                "http://edamontology.org/topic_0092",
                "http://edamontology.org/topic_3168",
                "http://edamontology.org/topic_0091"
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            "keywords": [
                "Biostatistics",
                "Sequence analysis",
                "NGS Sequencing Data Analysis"
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            "updated_at": "2025-01-09T13:06:41.575826Z",
            "type": "Training course",
            "start_date": "2025-06-01",
            "end_date": "2025-06-06",
            "venue": "",
            "city": "Roscoff",
            "country": "France",
            "geographical_range": "National",
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            "registration_closing": "2025-03-01",
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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»",
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            "is_draft": false,
            "costs": [
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            "topics": [
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            "keywords": [
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                "2D/3D",
                "Protein/protein interaction modelisation"
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            "accessConditions": "",
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                    "id": 88,
                    "name": "BioinfOmics",
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            "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png",
            "updated_at": "2025-01-23T15:44:32.386212Z",
            "type": "Training course",
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            "end_date": "2025-06-05",
            "venue": "",
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            "registration_closing": "2025-05-20",
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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.",
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                "http://edamontology.org/topic_0091"
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                "Artificial Intelligence",
                "Machine learning",
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                "Machine Learning basics",
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            "openTo": "Everyone",
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            "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",
            "trainers": [],
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            "registration_closing": "2025-01-24",
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        {
            "id": 718,
            "name": "INTRODUCTION TO PYTHON 21-22 may 2025",
            "shortName": "Python May 2025",
            "description": "The Toulouse Genotoul bioinformatics platform, organizes a 2 days long training course for non computer scientist and biologists aiming at learning the foundation of Python programming. In this training you will learn the basics of programming (variables, functions, control structures such as “if” condition, “for” loop”), writing simple programs which read files, and write results to others. The training course does not require any knowledge in programming, but basic Linux/bash commands are required (cd, ls).\r\n\r\nThis training focuses on practice. It consists of modules with a large variety of exercises described hereunder (PROVISIONAL SCHEDULE):\r\n\r\nUsing a Jupyter notebook (Day 1).\r\nUsing variables (Day 1).\r\nBasic operations and functions (Day 1).\r\nReading a file, writing to a file (Day 1).\r\nCharacter string manipulation (Day 1).\r\nLists and dictionaries (Day 2).\r\nThe if and for controls (Day 2).\r\nBases of algorithms (Day 2).",
            "homepage": "https://bioinfo.genotoul.fr/index.php/events/python/",
            "is_draft": false,
            "costs": [
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                "Academic but non-INRAE: 170 € + 20% taxes (TVA)",
                "For INRAE's staff: 150 € no VAT charged;"
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            "topics": [
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            "keywords": [
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            ],
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            ],
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                    "id": 22,
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            ],
            "logo_url": "http://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png",
            "updated_at": "2025-05-09T13:20:29.300103Z",
            "type": "Training course",
            "start_date": "2025-05-21",
            "end_date": "2025-05-22",
            "venue": "",
            "city": "castanet-tolosan",
            "country": "France",
            "geographical_range": "National",
            "trainers": [],
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