Handles creating, reading and updating training events.

GET /api/training/?format=api&offset=340&ordering=-accessConditions
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=360&ordering=-accessConditions",
    "previous": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=320&ordering=-accessConditions",
    "results": [
        {
            "id": 332,
            "name": "SHORT-READ ALIGNMENT AND SMALL SIZE VARIANTS CALLING",
            "shortName": "",
            "description": "This training session, organized jointly with the Sigenae platform, is designed to introduce NGS data, in particular Illumina Solexa technologies with command line. You will discover the new sequence formats, the assembly formats and the known biases of these technologies. You will use mapping on reference genome software, polymorphisms detection with the GATK pipeline and alignment visualization software.\r\n\r\nThis training is focused on the practice. It consists of modules with a large variety of exercises:\r\n\r\nDay 1 (09:00 am to 12:30 am): Fastq format / Sequence quality. Read mapping.\r\nDay 1 (14:00 pm to 17:00 pm): SAM format. Visualisation.\r\nDay 2 (09:00 am to 17:00 am): Variant calling. VCF format. Variant annotation (SNPeff / SNPsift).\r\n \r\nThe session will take place in the room ‘salle de formation’ at INRAE center of Toulouse-Auzeville.\r\n\r\nPrerequisites: ability to use a Unix environment (see Unix training) and Cluster (see Cluster training).\r\n \r\nTool box: FastQC, BWA, Samtools, Picard tools, GATK, SnpSift / SnpEff, IGV.",
            "homepage": "https://bioinfo.genotoul.fr/index.php/events/alignment-and-small-size-variants-calling/",
            "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_0102",
                "http://edamontology.org/topic_2885"
            ],
            "keywords": [],
            "prerequisites": [
                "Linux/Unix",
                "Cluster"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 12,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 37,
                    "name": "MIAT - Mathématiques et Informatique Appliquées de Toulouse",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/MIAT%20-%20Math%C3%A9matiques%20et%20Informatique%20Appliqu%C3%A9es%20de%20Toulouse/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 22,
                    "name": "Genotoul-bioinfo",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=api"
                }
            ],
            "logo_url": "https://bioinfo.genotoul.fr/wp-content/uploads/sigenae-text-black-1.png",
            "updated_at": "2025-12-01T11:54:41.351028Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "Novice",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/634/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/530/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/724/?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": 315,
            "name": "Using sed and awk to modify large large text files",
            "shortName": "",
            "description": "Many analysis generate large result text files which have to be checked, merged, split, reduced. Several tools have been developed and are available on Unix to do this, including sed and AWK. During this course you will be trained to process large files with sed and AWK. Sed is tool enabling to select and process lines. You can easily insert, delete, modify, append lines to very large files with millions of lines. AWK will enable to perform more fine tuned file modifications based on columns. It includes also more mathematical and string functions.  The course is based mainly on exercises with small sections presenting concepts and commands.",
            "homepage": "http://bioinfo.genotoul.fr/index.php/events/modify-and-extract-information-from-large-text-files-day-2-3/",
            "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": [
                "Linux/Unix"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 12,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/338/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 37,
                    "name": "MIAT - Mathématiques et Informatique Appliquées de Toulouse",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/MIAT%20-%20Math%C3%A9matiques%20et%20Informatique%20Appliqu%C3%A9es%20de%20Toulouse/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 22,
                    "name": "Genotoul-bioinfo",
                    "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": "2025-12-01T11:57:16.182121Z",
            "audienceTypes": [
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Biologists"
            ],
            "difficultyLevel": "Novice",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": false,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/478/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/479/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/611/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/631/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/669/?format=api"
            ]
        },
        {
            "id": 381,
            "name": "HOW TO RUN A NF-CORE NEXTFLOW WORKFLOW ON GENOTOUL ?",
            "shortName": "Nextflow/nf-core",
            "description": "This training session is organized by the Genotoul bioinfo platform and aims at learning nf-core workflow submission, error understanding, resuming jobs and ressource reservation. We will present and practice:\r\n\r\nthe Nextflow software\r\nthe nf-core community and pipelines\r\nWhat is a singularity image ?\r\nWhere are installed the nf-core workflows ? Which version do I use ?\r\nHow to run a workflow and which config file is used ?\r\nWhich kind of error I can get ?\r\nHow to resume failed jobs?\r\nHow to handle genome indexes ?\r\nHow to monitor my process and then well configure my workflow ?\r\nHow do you best adjust CPU and RAM reservations?\r\nThis is NOT a bioinformatic training on a particular workflow or a training on how to develop a workflow.\r\n\r\nThis training is focused on practice. It consists of several modules with a large variety of exercises:\r\n\r\nStart at 09:00 am\r\nEnd at 17:00 pm",
            "homepage": "https://bioinfo.genotoul.fr/index.php/events/how-to-run-a-nf-core-nextflow-workflow-on-genotoul-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_0769"
            ],
            "keywords": [
                "Nextflow"
            ],
            "prerequisites": [
                "Linux/Unix",
                "Cluster"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 12,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/300/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 15,
                    "name": "MIAT",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/MIAT/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 22,
                    "name": "Genotoul-bioinfo",
                    "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": "2025-12-01T11:57:33.124156Z",
            "audienceTypes": [
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Life scientists"
            ],
            "difficultyLevel": "Novice",
            "trainingMaterials": [
                {
                    "id": 143,
                    "name": "workflows nf-core",
                    "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/workflows%20nf-core/?format=api"
                }
            ],
            "learningOutcomes": "",
            "hoursPresentations": 1,
            "hoursHandsOn": 6,
            "hoursTotal": 7,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/636/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/722/?format=api"
            ]
        },
        {
            "id": 321,
            "name": "Genopole Autumn School",
            "shortName": "",
            "description": "Cette formation est dédiée aux chercheurs, ingénieurs et doctorants et dispensée en anglais par des experts internationaux de la génomique.\r\nLes points forts de la formation :\r\n\r\n    Des sessions de formation pratiques aux outils d’analyse génomique\r\n    Des experts des grands centres nationaux et internationaux (Université d’Evry – Paris-Saclay, Inrae, CEA, CNRS, Université du Luxembourg, EMBL-EBI)\r\n    Format résidentiel tout inclus dans un cadre accueillant et propice au networking\r\n    Effectif limité à 15 participants pour une qualité optimale des sessions pratiques\r\n    Formation éligible à la prise en charge employeurs ou OPCO",
            "homepage": "",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": null,
            "updated_at": "2022-11-14T16:38:22.898523Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/501/?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": 18,
            "name": "Linux",
            "shortName": "",
            "description": "Formation Linux\n",
            "homepage": "http://migale.jouy.inra.fr/",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "Programming Languages & Computer Sciences",
                "Linux",
                "Développements technologiques de l‘Information et de la Communication"
            ],
            "prerequisites": [],
            "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": 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": 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": 363,
            "name": "Introduction au text-mining avec AlvisNLP",
            "shortName": "Introduction to text-mining with AlvisNLP",
            "description": "Objectifs pédagogiques\r\nCette formation est dédiée à l’analyse de données textuelles (text-mining). L’objectif est l’acquisition des principales techniques pour la Reconnaissance d’Entités Nommées (REN) à partir de textes. Les entités nommées étudiées dans cette formation sont des objets ou concepts d’intérêts mentionnés dans les articles scientifiques ou les champs en texte libre (taxons, gènes, protéines, marques, etc.).\r\n\r\nLes participants vont acquérir les compétences pratiques nécessaires pour effectuer de façon autonome une première approche pour une application de text-mining. Le format est celui de Travaux Pratiques utilisant AlvisNLP, un outil pour la création de pipelines en text-mining développé par l’équipe Bibliome de l’unité MaIAGE. La formation s’adresse à des chercheurs et ingénieurs en (bio)-informatique ou en maths-info-stats appliquées\r\n\r\nProgramme\r\n* Présentation du text-mining et de la Reconnaissance des Entités Nommées (REN)\r\n* Travaux Pratiques sur des techniques de REN en utilisant AlvisNLP\r\n* Projection de lexiques\r\n* Application de patrons\r\n* Apprentissage automatique",
            "homepage": "https://documents.migale.inrae.fr/trainings.html",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [
                "http://edamontology.org/topic_0605",
                "http://edamontology.org/topic_3474"
            ],
            "keywords": [
                "Text mining"
            ],
            "prerequisites": [
                "Linux - Basic Knowledge"
            ],
            "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": "2024-01-18T14:56:19.822106Z",
            "audienceTypes": [
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Life scientists",
                "Biologists",
                "Bioinformaticians"
            ],
            "difficultyLevel": "Novice",
            "trainingMaterials": [],
            "learningOutcomes": "Cette formation est dédiée à l’analyse de données textuelles (text-mining). L’objectif est l’acquisition des principales techniques pour la Reconnaissance d’Entités Nommées (REN) à partir de textes. Les entités nommées étudiées dans cette formation sont des objets ou concepts d’intérêts mentionnés dans les articles scientifiques ou les champs en texte libre (taxons, gènes, protéines, marques, etc.).\r\n\r\nLes participants vont acquérir les compétences pratiques nécessaires pour effectuer de façon autonome une première approche pour une application de text-mining. Le format est celui de Travaux Pratiques utilisant AlvisNLP, un outil pour la création de pipelines en text-mining développé par l’équipe Bibliome de l’unité MaIAGE. La formation s’adresse à des chercheurs et ingénieurs en (bio)-informatique ou en maths-info-stats appliquées",
            "hoursPresentations": 5,
            "hoursHandsOn": 7,
            "hoursTotal": 12,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/588/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/680/?format=api"
            ]
        },
        {
            "id": 380,
            "name": "INTRODUCTION TO PYTHON",
            "shortName": "Python",
            "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": [],
            "topics": [
                "http://edamontology.org/topic_3307"
            ],
            "keywords": [
                "Python Language"
            ],
            "prerequisites": [
                "Linux/Unix"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 12,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/642/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 15,
                    "name": "MIAT",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/MIAT/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 22,
                    "name": "Genotoul-bioinfo",
                    "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": "2025-12-01T11:55:51.057828Z",
            "audienceTypes": [
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Life scientists"
            ],
            "difficultyLevel": "Novice",
            "trainingMaterials": [
                {
                    "id": 142,
                    "name": "Introduction to python",
                    "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Introduction%20to%20python/?format=api"
                }
            ],
            "learningOutcomes": "",
            "hoursPresentations": 5,
            "hoursHandsOn": 9,
            "hoursTotal": 14,
            "personalised": false,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/635/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/718/?format=api"
            ]
        },
        {
            "id": 14,
            "name": "Formation interne pipeline RNASeq",
            "shortName": "",
            "description": "",
            "homepage": "",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "NGS Data Analysis",
                "Analysis of RNAseq data"
            ],
            "prerequisites": [],
            "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": 9,
            "name": "Formation Professionnelles",
            "shortName": "",
            "description": "Séminaires et conférences invitées : 6 par an en moyenne\nDIU Oncogénétique\nDESC Cytogénétique\n",
            "homepage": "http://www.france-bioinformatique.fr",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "Bioinformatics & Biomedical"
            ],
            "prerequisites": [],
            "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": 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": 383,
            "name": "Artificial Intelligence and Machine Learning in Life Sciences: from foundations to applications",
            "shortName": "AI & ML in LS",
            "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).",
            "homepage": "",
            "is_draft": false,
            "costs": [],
            "topics": [
                "http://edamontology.org/topic_3474"
            ],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 30,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "https://www.dissco.eu/wp-content/uploads/Elixir-Europe-logo-1-300x226.png",
            "updated_at": "2025-01-23T14:14:17.330709Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "Intermediate",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/643/?format=api"
            ]
        },
        {
            "id": 392,
            "name": "Introduction au language R / Introduction to R langage",
            "shortName": "Introduction to R langage",
            "description": "Objectifs pédagogiques :\r\nÀ l’issue de la formation, les stagiaires connaîtront les principales fonctionnalités du langage R et ses principes. Ils seront capables de les appliquer pour effectuer des calculs ou des représentations graphiques simples. Ils seront de plus autonomes pour manipuler leurs tableaux de données.\r\nAttention : ce module n’est ni un module de statistique, ni un module d’analyse statistique des données.\r\n\r\nProgramme :\r\n* Structures et manipulation de données\r\n* Principaux éléments du langage de programmation (boucle, fonctions…)\r\n* Différentes représentations graphiques de données/résultats (plot, histogramme, boxplot)",
            "homepage": "https://documents.migale.inrae.fr/trainings.html",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [
                "http://edamontology.org/topic_0605"
            ],
            "keywords": [
                "R Language"
            ],
            "prerequisites": [],
            "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": "2025-01-23T14:09:34.394672Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "Novice",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": 2,
            "hoursHandsOn": 10,
            "hoursTotal": 12,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/684/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/679/?format=api"
            ]
        },
        {
            "id": 333,
            "name": "Improve your command line skills by learning a few words of Perl",
            "shortName": "",
            "description": "This “Perl one-liners” training session is organized by the Sigenae platform. Perl one-liners are small and awesome Perl programs that fit in a single line of code and perform many operations such as replacing of text, spacing, deleting, calculation, manipulation in files and many more. This training will allow you to discover the power of Perl on the command line and learn how to use it to automate your file manipulations and command line generation with classical file formats such as tabulated text, fastq, sam/bam, and vcf.\r\n\r\nThis training lasts one day and is focused on practice. It consists of 3 parts with a large variety of exercises:\r\n\r\nIntroduction to Perl and its characteristics: Perl is a widely used programming language for data processing and task automation. We will introduce the main characteristics of Perl and discuss why it is particularly suited for biologists who want to manipulate files and generate command lines.\r\nPerl on the command line: we will show how to use Perl on the command line to perform common tasks, such as searching and replacing strings, merging files, and loop over lists of files.\r\nConcrete examples: we will present several concrete examples drawn from biology, such as extracting information from genomic sequence files, converting files between different formats, and generating command lines for data biology tools.\r\n \r\nThe session will take place in the room ‘salle de formation MIAT’ at INRAE center of Toulouse-Auzeville.",
            "homepage": "https://bioinfo.genotoul.fr/index.php/events/onelineperl/",
            "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": [],
            "keywords": [
                "Perl Langage"
            ],
            "prerequisites": [
                "Linux/Unix",
                "Cluster"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 12,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 37,
                    "name": "MIAT - Mathématiques et Informatique Appliquées de Toulouse",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/MIAT%20-%20Math%C3%A9matiques%20et%20Informatique%20Appliqu%C3%A9es%20de%20Toulouse/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 22,
                    "name": "Genotoul-bioinfo",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=api"
                }
            ],
            "logo_url": null,
            "updated_at": "2025-12-01T11:56:55.465635Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "Novice",
            "trainingMaterials": [
                {
                    "id": 148,
                    "name": "One line perl",
                    "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/One%20line%20perl/?format=api"
                }
            ],
            "learningOutcomes": "",
            "hoursPresentations": 3,
            "hoursHandsOn": 3,
            "hoursTotal": null,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/531/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/723/?format=api"
            ]
        },
        {
            "id": 190,
            "name": "Workflow4Experimenters  ",
            "shortName": "",
            "description": "",
            "homepage": "",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "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": [
                "https://catalogue.france-bioinformatique.fr/api/event/316/?format=api"
            ]
        },
        {
            "id": 174,
            "name": "Annotation and Analysis of Procaryotic genomes using the MicroScope platform",
            "shortName": "",
            "description": "",
            "homepage": "",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "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": [
                "https://catalogue.france-bioinformatique.fr/api/event/317/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/299/?format=api"
            ]
        },
        {
            "id": 192,
            "name": "Initiation à l’Analyse des données RNAseq sous l’environnement Galaxy",
            "shortName": "",
            "description": "",
            "homepage": "",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "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": [
                "https://catalogue.france-bioinformatique.fr/api/event/319/?format=api"
            ]
        }
    ]
}