Handles creating, reading and updating training events.

GET /api/training/?format=api&offset=300&ordering=homepage
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "count": 378,
    "next": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=320&ordering=homepage",
    "previous": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=280&ordering=homepage",
    "results": [
        {
            "id": 387,
            "name": "Interactive Online Companionship - SingleCell RNAseq Analysis with R Seurat",
            "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": "2025-09-11T14:25:26.499365Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "Intermediate",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": 25,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/665/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/729/?format=api"
            ]
        },
        {
            "id": 386,
            "name": "Interactive Online Companionship - R formation",
            "shortName": "IOC - R",
            "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 6-month program, including a post-training feedback session to support practical application.\r\n\r\nTraining Program\r\nR Training (January to March 2025) – 10 sessions of 2.5 hours – €800 for academics\r\nThis course covers the basics of R: data organization and filtering, basic statistical analyses, and creating 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\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": [],
            "prerequisites": [
                "none"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 16,
            "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": "2024-12-10T08:59:06.862553Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "Novice",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": 25,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/663/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/730/?format=api"
            ]
        },
        {
            "id": 399,
            "name": "Interactive Online Companionship - R formation 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"
            ],
            "topics": [],
            "keywords": [],
            "prerequisites": [
                "none"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 16,
            "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": "2025-09-11T14:23:22.054252Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "Novice",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": 30,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": []
        },
        {
            "id": 16,
            "name": "Formations à la plate-forme Microscope",
            "shortName": "",
            "description": "The LABGeM team at Genoscope regularly organizes training courses dedicated to the analysis of bacterial genomes via the use of the MicroScope platform at the University of Évry.\n \nThe course \"Annotation and analysis of prokaryotic genomes using the MicroScope platform\" lasting 4.5 days is aimed at:\nacquiring theoretical and practical knowledge of genome annotation tools (structural and functional annotation, metabolic networks annotation)\nknowing how to interpret the results of functional annotation tools\nknowing how to carry out various comparative analyzes: analyzes of conserved syntenia, pan-genomes, phylogenetic and metabolic profiles\nlearning to interpret the results of metabolic network prediction tools and search for candidate genes for enzymatic activities\napplying those tools to the analysis of genomes of interest to the participants \nEach session is made up of half theory and half practical work. During the training, participants have the opportunity to work on their own data during practical work.\n \nThis training is aimed at doctoral students, engineers, researchers, experienced biological or medical laboratory technicians. It concerns both people who already have an annotation project on the MicroScope platform and wishing to deepen its use, as well as those wishing to learn microbial genomics.\n \n \nIn addition, if you are a user of the MicroScope platform and you have already followed the training \"Annotation and analysis of prokaryotic genomes using the MicroScope platform\" a few years ago we have implemented a new training , the \"MicroScope Platform - Advanced Course\" training in order to update your knowledge on the latest evolutions of the platform and to deepen some of its major functionalities.\n \nThis training, lasting 2 days, will consolidate your use of the platform but also go further:\nPresentation of the evolutions of the MicroScope platform\nPresentation of the new flagship features of the MicroScope platform\nPresentation of tools for RNA-seq analyzes\nDeepening of the functionalities allowing the exploration of the bacterial metabolism\n",
            "homepage": "https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-t…",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "Methodology",
                "Metagenomics",
                "Metabolic Network Modelling",
                "Read alignment on genomes",
                "Gene expression differential analysis",
                "Web portals",
                "Variant analysis",
                "Interfaces",
                "Systems Biology",
                "Interoperability",
                "Metabolomics and Fluxomics",
                "Metabolic network analysis",
                "Genome analysis",
                "Structural and functional annotation of genomes",
                "Complete genomes",
                "Transcriptomics (RNA-seq)",
                "Genomics (DNA-seq)",
                "Functional and regulatory pathways comparison",
                "Genomes comparison",
                "Data collection curation",
                "Comparative genomics",
                "Data Integration",
                "Data management and transfer",
                "NGS Sequencing Data Analysis",
                "Toolkit",
                "Tool integration",
                "Databases and information systems",
                "Développements technologiques de l‘Information et de la Communication"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "For more information and registration : https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/.\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": []
        },
        {
            "id": 279,
            "name": "Annotation and analysis of prokaryotic genomes using the MicroScope platform",
            "shortName": "MicroScope training",
            "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/",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [
                "http://edamontology.org/topic_0797",
                "http://edamontology.org/topic_0085",
                "http://edamontology.org/topic_3301"
            ],
            "keywords": [],
            "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/",
            "maxParticipants": 12,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [
                {
                    "id": 15,
                    "name": "Laboratory of Bioinformatics Analyses for Genomics and Metabolism",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Laboratory%20of%20Bioinformatics%20Analyses%20for%20Genomics%20and%20Metabolism/?format=api"
                }
            ],
            "organisedByOrganisations": [
                {
                    "id": 67,
                    "name": "University Paris-Saclay",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20Paris-Saclay/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 9,
                    "name": "MicroScope",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/MicroScope/?format=api"
                }
            ],
            "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/plateforme-logo/MicroScope_logo.png",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [
                "Undergraduate",
                "Graduate",
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Researchers",
                "Life scientists",
                "Biologists",
                "Curators"
            ],
            "difficultyLevel": "Intermediate",
            "trainingMaterials": [],
            "learningOutcomes": "Annotation and comparative analysis of bacterial genomes:\r\n\r\n- acquire theoretical and practical knowledge of genome annotation tools (structural and functional annotation, metabolic networks annotation)\r\n- interpret the results of functional annotation tools\r\nperform various comparative analyses : conserved synteny analyses, pan-genome, phylogenetic and metabolic profiles.\r\n- analyse the results of metabolic networks prediction tools and look for candidate genes for enzyme activities.\r\n- use the tools to analyse the genome(s) of interest of participants",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": 31,
            "personalised": false,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/439/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/506/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/436/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/507/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/577/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/576/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/659/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/658/?format=api"
            ]
        },
        {
            "id": 17,
            "name": "Formation universitaire",
            "shortName": "",
            "description": "LABGeM's researchers are involved in different training programs in collaboration with :\nthe University of Paris Saclay: master GENIOMHE, master MSSB, master NRBCe\nthe University Denis Diderot: master M2BI\nthe University Paris Descartes: master IMVI\nthe Institut Pasteur: Training ‘Analyse des génomes’\n",
            "homepage": "https://labgem.genoscope.cns.fr/professional-trainings/university-trainings/",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [],
            "prerequisites": [
                "Master"
            ],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": []
        },
        {
            "id": 302,
            "name": "Initiation à la ligne de commande",
            "shortName": "",
            "description": "L’objectif de cette formation est de se familiariser à l’utilisation de la ligne de commande pour un usage sur un cluster de\r\ncalcul afin d’acquérir les bases pour le traitement de données biologiques.\r\nPrésentation de l’infrastructure du cluster de calcul du Mésocentre Clermont Auvergne.\r\nIntroduction à l’environnement Linux.\r\nInitiation à un langage de scripting avec le shell Bash.\r\nManipulation en ligne de commande de fichiers de données d'origine biologique.\r\nComment se connecter au serveur de calcul.\r\nApprentissage du langage informatique Bash et comment naviguer dans un environnement Linux.\r\nExercices pratiques de saisie de commandes sur un terminal sans interface graphique.\r\nApprentissage de la gestion de fichiers, comment les créer, gérer les droits d’accès, les manipuler et les transférer sur le\r\ncluster de calcul ou les récupérer sur son poste de travail local.",
            "homepage": "https://mesocentre.uca.fr/",
            "is_draft": false,
            "costs": [
                "Free to academics"
            ],
            "topics": [
                "http://edamontology.org/topic_0091",
                "http://edamontology.org/topic_0605"
            ],
            "keywords": [],
            "prerequisites": [
                "Licence"
            ],
            "openTo": "Everyone",
            "accessConditions": "Avoir un compte sur le cluster de calcul du Mésocentre Clermont Auvergne (faire une demande le cas échéant sur le site\r\nhttps://hub.mesocentre.uca.fr)\r\nVENIR AVEC UN ORDINATEUR PORTABLE muni d’une connexion à Eduroam opérationnelle.",
            "maxParticipants": 10,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/261/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 45,
                    "name": "UMR 454 MEDIS INRA-Université Clermont Auvergne",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/UMR%20454%20MEDIS%20INRA-Universit%C3%A9%20Clermont%20Auvergne/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 31,
                    "name": "AuBi",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/AuBi/?format=api"
                }
            ],
            "logo_url": "https://mesocentre.uca.fr/medias/photo/logoaubi-2019minus_1553844844490-jpg?ID_FICHE=41175",
            "updated_at": "2025-02-17T12:44:35.172676Z",
            "audienceTypes": [
                "Professional (initial)"
            ],
            "audienceRoles": [
                "Life scientists",
                "Biologists"
            ],
            "difficultyLevel": "Novice",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": 2,
            "hoursHandsOn": 3,
            "hoursTotal": 6,
            "personalised": false,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/482/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/615/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/707/?format=api"
            ]
        },
        {
            "id": 295,
            "name": "Introduction to the use of a computing cluster",
            "shortName": "",
            "description": "Knowledge of the concepts and best practices for using the computing resources of the mesocenter cluster Clermont Auvergne in a bioinformatics context.\r\nBecome familiar with the work environment of the computing cluster, become autonomous in the use of its resources and learn to use a scheduler. \r\nPresentation of the resources accessible on the cluster (computing nodes, storage spaces, tools).\r\nConcept of jobs, queues and parallel computing.\r\nJob management (submission, follow-up, deletion).",
            "homepage": "https://mesocentre.uca.fr/",
            "is_draft": false,
            "costs": [
                "Free to academics"
            ],
            "topics": [
                "http://edamontology.org/topic_0091",
                "http://edamontology.org/topic_0605"
            ],
            "keywords": [],
            "prerequisites": [
                "Linux and knowledge of NGS formats"
            ],
            "openTo": "Internal personnel",
            "accessConditions": "Have an account on the Mesocentre UCA computing cluster (make a request if necessary on the site https://hub.mesocentre.uca.fr)\r\nAlternation of theoretical courses and practical work.\r\nCOME WITH A LAPTOP with an operational Eduroam connection.\r\nThe training is in French.",
            "maxParticipants": 10,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 45,
                    "name": "UMR 454 MEDIS INRA-Université Clermont Auvergne",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/UMR%20454%20MEDIS%20INRA-Universit%C3%A9%20Clermont%20Auvergne/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 31,
                    "name": "AuBi",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/AuBi/?format=api"
                }
            ],
            "logo_url": null,
            "updated_at": "2023-01-24T10:21:58.347905Z",
            "audienceTypes": [
                "Graduate"
            ],
            "audienceRoles": [
                "Researchers",
                "Computer scientists"
            ],
            "difficultyLevel": "Novice",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": 3,
            "hoursHandsOn": 4,
            "hoursTotal": 8,
            "personalised": false,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/487/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/616/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/461/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/708/?format=api"
            ]
        },
        {
            "id": 335,
            "name": "FAIR_bioinfo_@_AuBi",
            "shortName": "FAIR_bioinfo",
            "description": "Introduction aux bonnes pratiques en bio-informatique afin de pérenniser son travail de recherche.\r\n\r\nCette formation permet de découvrir les bonnes pratiques dans le cadre d’un travail nécessitant des approches programmatiques (statistiques, programmation d’outils, analyses de données biologiques). Elle s’inscrit aussi dans l’aspect science-ouverte afin de rendre plus facilement disponible et pérenne le travail bio-informatique. Après une introduction aux pratiques FAIR axées notamment sur les notions de reproductibilité et de répétabilité du code, plusieurs approches seront abordées: les bonnes pratiques de partage et gestion des versions des outils utilisés ; la gestion des environnements de travail (conda, docker, singularity) ; découverte du gestionnaire de workflow Snakemake : et enfin la documentation du code avec Rmarkdown et Jupyter.",
            "homepage": "https://mesocentre.uca.fr/actualites/pratiques-fair-en-bioinformatique-pour-des-analyses-reproductibles",
            "is_draft": false,
            "costs": [
                "Free to academics"
            ],
            "topics": [
                "http://edamontology.org/topic_0091",
                "http://edamontology.org/topic_0769",
                "http://edamontology.org/topic_3307",
                "http://edamontology.org/topic_3068"
            ],
            "keywords": [
                "Methodology",
                "Programming Languages & Computer Sciences",
                "Cloud",
                "Linux",
                "Snakemake",
                "Docker",
                "R"
            ],
            "prerequisites": [
                "Linux - Basic Knowledge"
            ],
            "openTo": "Everyone",
            "accessConditions": "Having an account on Mesocentre Clermont Auvergne Infrastructure",
            "maxParticipants": 15,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/261/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 87,
                    "name": "AuBi",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/AuBi/?format=api"
                },
                {
                    "id": 94,
                    "name": "University Clermont Auvergne",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20Clermont%20Auvergne/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 31,
                    "name": "AuBi",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/AuBi/?format=api"
                }
            ],
            "logo_url": "https://mesocentre.uca.fr/medias/photo/logoaubi-2019minus_1553844844490-jpg?ID_FICHE=41175",
            "updated_at": "2023-06-14T10:18:52.160465Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "Novice",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": 10,
            "hoursHandsOn": 20,
            "hoursTotal": 30,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/537/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/709/?format=api"
            ]
        },
        {
            "id": 364,
            "name": "Formation d'initiation à la plateforme de stockage d'imagerie OMERO",
            "shortName": "Formation d'initiation à OMERO",
            "description": "Cette session d'introduction a pour objectif la prise en main d'OMERO et le chargement d'images vers l'instance OMERO hébergée au Mésocentre Clermont Auvergne, service de la plateforme AuBi.\r\n\r\nQu'est-ce qu'OMERO ?\r\nOMERO est une plateforme logicielle permettant de visualiser, de gérer et d'annoter des données d'images scientifiques. OMERO vous permet d'importer et d'archiver vos images, de les annoter et de baliser vos images, d'enregistrer vos protocoles expérimentaux et d'exporter vos images dans de nombreux formats. Il vous permet également de collaborer avec des collègues en créant des groupes d'utilisateurs.\r\n\r\nPourquoi utiliser OMERO ?\r\nC'est très pratique ! Une fois vos données importées, vous n'avez plus à vous soucier des montages réseau et des structures de dossiers. Vos données sont consultables, vous pouvez les annoter, les visualiser, effectuer des flux de travail simples d'analyse d'images, les partager avec des collaborateurs et générer des figures de niveau publication, le tout directement depuis votre navigateur web.\r\n\r\nComment l'utiliser ?\r\nIl existe deux interfaces principales pour OMERO : un client de bureau (OMERO.insight) et une page web (OMERO.web). Elles ont toutes deux des caractéristiques similaires mais pas identiques. Venez découvrir ces outils lors de cette formation AuBi !\r\n\r\nPour cela, il est indispensable d'être équipé d'un ordinateur portable sur lequel omero insight sera installé en amont de la formation et d'avoir un compte actif au Mésocentre Clermont Auvergne qui vous permettra ensuite de vous connecter sur omero.web.",
            "homepage": "https://mesocentre.uca.fr/projets-associes/plateforme-aubi",
            "is_draft": false,
            "costs": [],
            "topics": [
                "http://edamontology.org/topic_3383"
            ],
            "keywords": [
                "Bioimaging",
                "FAIR"
            ],
            "prerequisites": [
                "none"
            ],
            "openTo": "Everyone",
            "accessConditions": "Having an account on Mésocentre Clermont Auvergne\r\nComing with a laptop and an Eduroam access",
            "maxParticipants": 10,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/780/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/261/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [
                {
                    "id": 16,
                    "name": "Université Clermont Auvergne",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Universit%C3%A9%20Clermont%20Auvergne/?format=api"
                }
            ],
            "organisedByOrganisations": [
                {
                    "id": 56,
                    "name": "INSERM",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api"
                },
                {
                    "id": 87,
                    "name": "AuBi",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/AuBi/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 31,
                    "name": "AuBi",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/AuBi/?format=api"
                }
            ],
            "logo_url": "https://mesocentre.uca.fr/medias/photo/logoaubi-2019minus_1553844844490-jpg?ID_FICHE=41175",
            "updated_at": "2025-02-17T12:41:56.490365Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "Novice",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/590/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/617/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/706/?format=api"
            ]
        },
        {
            "id": 345,
            "name": "Graphiques sous R avec ggplot2 / Graphics with R-ggplot2",
            "shortName": "ggplot2",
            "description": "Objectifs pédagogiques :\r\nÀ l’issue de la formation, les stagiaires connaîtront les principales fonctionnalités du package R « ggplot2 » et la démarche sous-jacente pour construire un graphique à partir d’un tableau de données. Ils seront capables de réaliser plusieurs types de représentations graphiques, telles que des nuages de points, des courbes, des histogrammes, des diagrammes en bâtons, des boxplots, des heatmaps, etc.  Les stagiaires pourront apporter leur propre tableau de données et pratiquer dessus en fin de formation. \r\n\r\nProgramme :\r\n- Principes généraux liés au package ggplot2 \r\n- Principales fonctions graphiques pour réaliser des nuages de points, des histogrammes, des boxplots, etc. \r\n- Principales fonctions pour jouer sur les coloriages en fonction d’une variable, sur les échelles de couleurs, sur les graduations, sur les représentations multiples, etc.",
            "homepage": "https://migale.inrae.fr/trainings",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [
                "http://edamontology.org/topic_0091",
                "http://edamontology.org/topic_0605",
                "http://edamontology.org/topic_2269"
            ],
            "keywords": [
                "Représentations graphiques"
            ],
            "prerequisites": [
                "Langage R de base"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 10,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/769/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 88,
                    "name": "BioinfOmics",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=api"
                },
                {
                    "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": "2024-01-18T12:50:47.605879Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "Intermediate",
            "trainingMaterials": [],
            "learningOutcomes": "À l’issue de la formation, les stagiaires connaîtront les principales fonctionnalités du package R « ggplot2 » et la démarche sous-jacente pour construire un graphique à partir d’un tableau de données. Ils seront capables de réaliser plusieurs types de représentations graphiques, telles que des nuages de points, des courbes, des histogrammes, des diagrammes en bâtons, des boxplots, des heatmaps, etc.",
            "hoursPresentations": 1,
            "hoursHandsOn": 5,
            "hoursTotal": 6,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/554/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/569/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/683/?format=api"
            ]
        },
        {
            "id": 326,
            "name": "Principes FAIR pour la gestion des données d'une plateforme IBISA",
            "shortName": "FAIR data IBISA",
            "description": "Cette session de formation a pour but de former des responsables et membres de plateformes IBISA aux principes FAIR de gestion des données .\r\nLa formation se déroule sur 2 jours avec une alternance de présentation générales,  et techniques, témoignages et ateliers pratiques pour travailler sur différents sujets : PGD de structure, métadonnées, sécurité des données,...etc.\r\nA la fin de cette formation auront \r\n- acquis des connaissances théoriques et pratiques sur la gestion selon les principes FAIR de leurs données dans le contexte de la Science Ouverte\r\n- identifié des pistes d'amélioration pour la gestion des données de leur plateforme.",
            "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=16",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [
                "http://edamontology.org/topic_3420",
                "http://edamontology.org/topic_0219",
                "http://edamontology.org/topic_3571"
            ],
            "keywords": [
                "Données"
            ],
            "prerequisites": [
                "Biologists"
            ],
            "openTo": "Internal personnel",
            "accessConditions": "private for IBISA platform staff",
            "maxParticipants": 30,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/162/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [
                {
                    "id": 3,
                    "name": "IFB",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IFB/?format=api"
                }
            ],
            "organisedByOrganisations": [
                {
                    "id": 43,
                    "name": "IFB-core",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB-core/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 29,
                    "name": "IFB Core",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api"
                }
            ],
            "logo_url": "https://moodle.france-bioinformatique.fr/pluginfile.php/1/core_admin/logocompact/300x300/1654772049/IFB-HAUT-COULEUR-PETIT.png",
            "updated_at": "2023-08-22T14:25:08.237204Z",
            "audienceTypes": [
                "Professional (continued)"
            ],
            "audienceRoles": [],
            "difficultyLevel": "Intermediate",
            "trainingMaterials": [],
            "learningOutcomes": "A la fin de cette formation, les participants connaîtront et pourront mettre en œuvre les principes de la science ouverte pour gérer leurs jeux de données dans un projet :\r\n- Les principes fondamentaux de l’Open Data en biologie et santé, y compris dans ses aspects juridiques ;\r\n- Les bonnes pratiques et outils de gestion des données d’un projet en bioinformatique, en lien avec les ressources de l’infrastructure IFB ;\r\n- Le PGD : séances théoriques et pratiques de construction d’un PGD sur des exemples de jeux de données omiques ;\r\n- Le choix des métadonnées : panorama des ressources existantes pour choisir des métadonnées et mise en pratique pour annoter des jeux de données omiques en vue de la publication des données dans une banque internationale ou un dataverse institutionnel.",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": false,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/627/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/513/?format=api"
            ]
        },
        {
            "id": 376,
            "name": "Train-the-Trainer",
            "shortName": "TtT",
            "description": "The programme objective is to give instructors tools and tips for providing an enriching learning experience to trainees, irrespective of topic, and to include best-practice guidance on course and training material development.",
            "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=25",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/762/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/556/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/639/?format=api"
            ],
            "elixirPlatforms": [
                {
                    "id": 1,
                    "name": "Training",
                    "url": "https://catalogue.france-bioinformatique.fr/api/elixirplatform/Training/?format=api"
                }
            ],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 4,
                    "name": "IFB - ELIXIR-FR",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 29,
                    "name": "IFB Core",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api"
                }
            ],
            "logo_url": "https://moodle.france-bioinformatique.fr/pluginfile.php/961/course/section/152/logo_TtT_MRS_def.png",
            "updated_at": "2024-03-21T15:33:43.289130Z",
            "audienceTypes": [
                "Professional (continued)"
            ],
            "audienceRoles": [
                "All"
            ],
            "difficultyLevel": "Novice",
            "trainingMaterials": [],
            "learningOutcomes": "By the end of Session 1, participants will be able to:\r\n\r\nList the steps of good instructional design.\r\nDefine cognitive load.\r\nDistinguish between bad and good cognitive load.\r\nClarify why we start with learning outcomes.\r\nGive examples of effective learning strategies.\r\nConnect learning strategies to the cognitive processes they promote.\r\nSelect appropriate learning outcomes within the learning constraints.\r\nAssess your teaching outlook/practices in relation to what you’ve learned.\r\nDesign learning experiences that align with learning outcomes.\r\n\r\n\r\nBy the end of Session 2, participants will be able to:\r\n\r\nDesign a mini-training:\r\nWrite SMART Learning Outcomes \r\nIdentify target audience\r\nDraw a concept map\r\nSelect content\r\nDeliver \r\nProvide and receive targeted feedback\r\nCreate a plan from lesson to session\r\nCreate a plan from session to full course\r\n\r\n\r\nBy the end of Session 3, participants will be able to:\r\n\r\nDescribe what makes training effective.\r\nDescribe what makes a trainer effective.\r\nIdentify strategies that facilitate active, interactive, and collaborative learning.\r\nList factors of motivation and demotivation.\r\nEvaluate what instructors can do to motivate and avoid demotivating learners.\r\n\r\n\r\nBy the end of Session 4, participants will be able to\r\n\r\nDescribe the differences between formative and summative assessment\r\nExplain why frequent feedback is important\r\nList and describe a few techniques for formative feedback",
            "hoursPresentations": 12,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/607/?format=api"
            ]
        },
        {
            "id": 268,
            "name": "EBAII - Ecole de Bioinformatique niveau débutant",
            "shortName": "EBAII",
            "description": "Description : La formation EBAII IFB Aviesan de niveau 1 propose une expérience d'apprentissage intensive conçue pour les biologistes, qu'ils soient ingénieurs, doctorants, chercheurs, enseignants-chercheurs ou praticiens, qui sont confrontés à l'analyse de données NGS (Next-Generation Sequencing) mais qui ne disposent pas encore des compétences bioinformatiques nécessaires, ou qui cherchent à renforcer leurs compétences existantes.\r\n\r\nContenu : Cette formation est structurée autour d'une combinaison de sessions théoriques et d'ateliers pratiques. Les participants auront l'occasion d'explorer diverses thématiques, notamment le traitement de données de variants, ChIP-Seq, Bulk RNA-Seq, et Single-Cell RNA-Seq. De plus, ils recevront une introduction aux technologies \"long reads\".\r\n\r\nObjectifs généraux:\r\nAcquérir une compréhension approfondie des concepts liés à l'analyse de données NGS.\r\nMaîtriser les outils informatiques nécessaires pour effectuer ces analyses.\r\nInterpréter les résultats des analyses de données NGS.",
            "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=28",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "Biostatistics",
                "Sequence analysis",
                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [],
            "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.",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [
                {
                    "id": 3,
                    "name": "IFB",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IFB/?format=api"
                },
                {
                    "id": 13,
                    "name": "Aviesan",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Aviesan/?format=api"
                },
                {
                    "id": 14,
                    "name": "Inserm",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Inserm/?format=api"
                }
            ],
            "organisedByOrganisations": [
                {
                    "id": 53,
                    "name": "AVIESAN",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/AVIESAN/?format=api"
                },
                {
                    "id": 4,
                    "name": "IFB - ELIXIR-FR",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 14,
                    "name": "BiGEst",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/BiGEst/?format=api"
                },
                {
                    "id": 10,
                    "name": "MIGALE",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api"
                },
                {
                    "id": 29,
                    "name": "IFB Core",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api"
                },
                {
                    "id": 4,
                    "name": "ABiMS",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/ABiMS/?format=api"
                }
            ],
            "logo_url": "https://www.sb-roscoff.fr/sites/www.sb-roscoff.fr/files/styles/large/public/images/station-biologique-roscoff-roscoff-4404.jpg",
            "updated_at": "2024-12-05T09:11:27.530824Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/486/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/412/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/245/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/410/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/408/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/409/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/407/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/411/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/413/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/10/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/193/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/527/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/525/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/406/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/628/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/645/?format=api"
            ]
        },
        {
            "id": 378,
            "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=29",
            "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"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 4,
                    "name": "IFB - ELIXIR-FR",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api"
                }
            ],
            "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": "2024-03-26T16:42:31.487108Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "Intermediate",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/613/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/664/?format=api"
            ]
        },
        {
            "id": 396,
            "name": "Metagenomics and Metatranscriptomics initiation",
            "shortName": "Metagenomics",
            "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)",
            "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=40",
            "is_draft": false,
            "costs": [],
            "topics": [
                "http://edamontology.org/topic_0637",
                "http://edamontology.org/topic_3941",
                "http://edamontology.org/topic_3174"
            ],
            "keywords": [],
            "prerequisites": [
                "Galaxy - Basic usage"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 12,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=api"
            ],
            "elixirPlatforms": [
                {
                    "id": 1,
                    "name": "Training",
                    "url": "https://catalogue.france-bioinformatique.fr/api/elixirplatform/Training/?format=api"
                }
            ],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [
                {
                    "id": 29,
                    "name": "IFB Core",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api"
                }
            ],
            "logo_url": "https://moodle.france-bioinformatique.fr/pluginfile.php/1/core_admin/logocompact/300x300/1654772049/IFB-HAUT-COULEUR-PETIT.png",
            "updated_at": "2025-07-16T11:33:24.922633Z",
            "audienceTypes": [
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Life scientists"
            ],
            "difficultyLevel": "Novice",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/726/?format=api"
            ]
        },
        {
            "id": 395,
            "name": "AlphaFold et au-delà : Modélisation de la structure 3D des protéines avec des outils d’IA / AlphaFold & beyond: 3D Protein Structure Modeling with AI Tools",
            "shortName": "AlphaFold",
            "description": "L’Institut Français de Bioinformatique organise en partenariat avec l'IDRIS et les plateformes PRABI-AMS, BIOI2, CUBIC, RPBS et Bilille une nouvelle formation intitulée: “AlphaFold et au-delà : Modélisation de la structure 3D des protéines avec des outils d’IA / AlphaFold & beyond: 3D Protein Structure Modeling with AI Tools”.",
            "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=43",
            "is_draft": false,
            "costs": [],
            "topics": [
                "http://edamontology.org/topic_1317",
                "http://edamontology.org/topic_0736",
                "http://edamontology.org/topic_3534",
                "http://edamontology.org/topic_3542",
                "http://edamontology.org/topic_0091"
            ],
            "keywords": [
                "Artificial Intelligence",
                "Comparative and de novo structure modeling",
                "alphafold",
                "Post-translational modifications"
            ],
            "prerequisites": [
                "Linux/Unix"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 15,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=api"
            ],
            "elixirPlatforms": [
                {
                    "id": 1,
                    "name": "Training",
                    "url": "https://catalogue.france-bioinformatique.fr/api/elixirplatform/Training/?format=api"
                }
            ],
            "communities": [],
            "sponsoredBy": [
                {
                    "id": 3,
                    "name": "IFB",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IFB/?format=api"
                }
            ],
            "organisedByOrganisations": [
                {
                    "id": 4,
                    "name": "IFB - ELIXIR-FR",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api"
                }
            ],
            "organisedByTeams": [],
            "logo_url": "https://moodle.france-bioinformatique.fr/pluginfile.php/1/core_admin/logocompact/300x300/1654772049/IFB-HAUT-COULEUR-PETIT.png",
            "updated_at": "2025-07-16T11:36:28.519489Z",
            "audienceTypes": [
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Life scientists",
                "Bioinformaticians"
            ],
            "difficultyLevel": "Advanced",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/725/?format=api"
            ]
        },
        {
            "id": 310,
            "name": "Diplôme Universitaire en Bioinformatique Intégrative / University Diploma in Integrative Bioinformatics",
            "shortName": "DUBii",
            "description": "La bioinformatique est devenue une compétence incontournable pour l'analyse de données de natures diverses : génomes, transcriptomes, protéomes, métabolomes, structures macromoléculaires, réseaux d'interactions. L'appropriation par les biologistes des méthodes et des 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 de Paris propose en partenariat avec l'Institut Français de Bioinformatique (IFB) la troisième édition du Diplôme Universitaire en Bioinformatique intégrative (DUBii). Cette formation s’adresse en priorité à des biologistes ou à des médecins souhaitant évoluer en compétences ou envisager une reconversion professionnelle et 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). \r\n\r\nLe DUBii fournira une formation théorique et pratique, complétée par une période d'immersion de 20 jours 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\n Cette formation se déroulera pendant 8 semaines réparties entre :\r\nLes cours : 4 semaines à raison de 4 jours/semaine en présentiel (96h)\r\nLe projet tutoré : 20 jours sur l'une des plateformes bioinformatique de l'IFB",
            "homepage": "https://odf.u-paris.fr/fr/offre-de-formation/diplome-d-universite-1/sciences-technologies-sante-STS/du-bioinformatique-integrative-dubii-DUSBIIN_118.html#programContent26c9751a-f434-491d-abe2-1151370851dc-1",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 20,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-09-15T12:11:46.140196Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "Advanced",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": true,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/466/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/414/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/400/?format=api"
            ]
        },
        {
            "id": 288,
            "name": "Introduction to Linux",
            "shortName": "BirdLinux",
            "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"
            ],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 12,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/596/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [
                {
                    "id": 16,
                    "name": "BiRD",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/BiRD/?format=api"
                }
            ],
            "logo_url": "https://pf-bird.univ-nantes.fr/medias/photo/small_1612545616928-png",
            "updated_at": "2024-02-08T15:29:55.120700Z",
            "audienceTypes": [
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Biologists",
                "All"
            ],
            "difficultyLevel": "Novice",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": 1,
            "hoursHandsOn": 6,
            "hoursTotal": 7,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/601/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/639/?format=api"
            ]
        },
        {
            "id": 374,
            "name": "Environments and best practices for using the BiRD cluster",
            "shortName": "Best practices BiRD cluster",
            "description": "Objectives\r\n- Understand and implement the principles of reproducible science in analysis and development projects\r\n- Acquire basic commands necessary for optimal use of the cluster\r\n\r\nPedagogical Content\r\n- Introduction to reproducibility\r\n- Best practices on code history and sharing: Git\r\n- Conda environment\r\n- Presentation of the computing cluster\r\n- Introduction to workflows using Snakemake",
            "homepage": "https://pf-bird.univ-nantes.fr/training/cluster/",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [],
            "prerequisites": [
                "Linux - Basic Knowledge"
            ],
            "openTo": "Everyone",
            "accessConditions": "Have an account on the BiRD cluster.",
            "maxParticipants": 20,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/596/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [
                {
                    "id": 16,
                    "name": "BiRD",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/BiRD/?format=api"
                }
            ],
            "logo_url": null,
            "updated_at": "2024-02-08T15:56:16.390499Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": 7,
            "hoursHandsOn": null,
            "hoursTotal": 7,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/602/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/641/?format=api"
            ]
        }
    ]
}