Handles creating, reading and updating training events.

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

{
    "count": 395,
    "next": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=220&ordering=-costs",
    "previous": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=180&ordering=-costs",
    "results": [
        {
            "id": 156,
            "name": "Python for biology",
            "shortName": "",
            "description": "",
            "homepage": "https://cnrsformation.cnrs.fr/stage-17266-Python-pour-la-biologie.html",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "Sequence Algorithm",
                "Python Language",
                "Sequence analysis"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "CNRS fee-based training\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": 144,
            "name": "FROGS formation : tools for bioinformatics and statistics analyses with amplicon metagenomics data",
            "shortName": "",
            "description": "This training session, organized by Bioinfo Genotoul, Sigenae, NED (GenPhySE) and TWB, is designed to help you to deal with NGS data of 16S, 18S ... DNA produced with MiSeq from Illumina and Roche 454 technologies in the Galaxy workbench.\nYou will discover how to use our Galaxy instance, clean reads, clusterize them, do the taxonomic affiliation and perform statistics to interpret your results.\nPrerequisites: knowledge of R or in another programming language\n",
            "homepage": "http://bioinfo.genotoul.fr/index.php/events/metagenomic-amplicons-and-stats-with…",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "NGS Data Analysis",
                "Metagenomics",
                "metatranscriptomics",
                "Galaxy"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "Subscribe by the web page : http://bioinfo.genotoul.fr/index.php/training-2/galaxy-training/.\nPrices : 165 euros per day for academic people, 550 per day otherwise.\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/FROGS_logo_0.png",
            "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/273/?format=api"
            ]
        },
        {
            "id": 143,
            "name": "Training on annotation of transposable elements",
            "shortName": "",
            "description": "The objectives of this training are: \nTo acquire knowledge on transposable elements\nTo achieve annotation of transposable elements in the genome using REPET pipelines\nTo be autonomous on your own data.\nProgram\nOpening presentations on transposable elements and their annotation\nStrategies of repeat annotation\nREPET pipelines overview and practices \nPost-analyze tools overview and practices\n \n",
            "homepage": "https://urgi.versailles.inra.fr/Platform/Training/Training-on-annotation-of-tran…",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "Bioinformatics and Plant Genomics",
                "Sequence analysis"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "This training is dedicated to biologists and/or bioinformaticians (10 pers. max)\nCost : 150€\nRegistration and information by mail to: urgi-contact@inra.fr\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": [
                "https://catalogue.france-bioinformatique.fr/api/event/272/?format=api"
            ]
        },
        {
            "id": 123,
            "name": "Master Bio-informatique",
            "shortName": "",
            "description": "Forme au traitement et à l'analyse des données « à haut débit » (génomique, transcriptomique, protéomique, métabolomique). Cette formation inclus l’acquisition des connaissances fondamentales et des compétences opérationnelles liées à l’interprétation de ce type de données, à travers des enseignements de biologie, bioinformatique, informatique et statistiques appliquées à la Biologie. Elle se caractérise par une formation orientée vers le développement de web services et l’usage de ressources de calcul distribuées.\n \n",
            "homepage": "",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [],
            "prerequisites": [
                "Master"
            ],
            "openTo": "Internal personnel",
            "accessConditions": "Licence de biologie / lic. Pro sur dossier\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": 72,
            "name": "Galaxy : Reads alignment and SNP calling",
            "shortName": "",
            "description": "As the command line training but with Galaxy. Organized jointly by the Sigenae and bioinfo genotoul platforms.\n",
            "homepage": "http://bioinfo.genotoul.fr/index.php/events/reads-alignment-and-small-size-varia…",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "NGS Data Analysis",
                "Galaxy",
                "Variant analysis",
                "Genomics (DNA-seq)",
                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "You need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private\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": [
                "https://catalogue.france-bioinformatique.fr/api/event/262/?format=api"
            ]
        },
        {
            "id": 71,
            "name": "Galaxy : first step",
            "shortName": "",
            "description": "Galaxy is a workbench available for biologists from Sigenae Platform. Galaxy objectives are:\n    First, making bioinfo Linux tools accessible to biologists.\n    Then, it is possible to add Linux tools by developpers into Galaxy workbench.\n    Then, Galaxy is used to hide the complexity of the infrastructure and to allow creation, execution and sharing of workflows.\nYou will acquire the following competencies required for the other Galaxy trainning:\n    Login to Galaxy: Galaxy Workbench (To access to Galaxy, you need to have an LDAP Genotoul login and password).\n    Begin to use some tools provided (BWA, SAM tools, FastQC).\n    Work on files.\nOrganized jointly by the Sigenae and the Bioinfo Genotoul platform.\n",
            "homepage": "http://bioinfo.genotoul.fr/index.php/events/first-step-with-galaxy/",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "Web portals",
                "Galaxy",
                "Interfaces",
                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "You need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private.\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": 67,
            "name": "RNAseq de novo assembly",
            "shortName": "",
            "description": "This training session has been designed to give you an overview of the methods and tools used to de novo assemble transcriptomic short reads. You will learn how to pre-process your raw data (fastq files), how an assembler works and how to use it. Finally you will learn how to assess the quality of your assemblies in order to choose the best one. Organized jointly by the Sigenae and bioinfo genotoul platforms.\n",
            "homepage": "http://bioinfo.genotoul.fr/index.php/events/rnaseq-de-novo-assembly-2/",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "NGS Data Analysis",
                "Analysis of RNAseq data",
                "Transcript and transcript variant analysis",
                "Transcriptomics (RNA-seq)",
                "Sequence annotation"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "You need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private.\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": 64,
            "name": "Read alignment and SNP calling",
            "shortName": "",
            "description": "This training session, organized jointly with the Sigenae platform, is designed to help you deal with NGS data, in particular Roche 454 and Illumina Solexa technologies. You will discover the new sequence formats, the new assembly formats and the known biases of these technologies. You will use mapping on reference genome software, polymorphisms detection (with the GATK pipeline), polymorphisms annotation and alignment visualization software. Organized jointly by the Sigenae and bioinfo genotoul platforms.\n",
            "homepage": "http://bioinfo.genotoul.fr/index.php/events/alignment-and-small-size-variants-ca…",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "NGS Data Analysis",
                "Variant analysis",
                "Genomics (DNA-seq)"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "You need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private.\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": 63,
            "name": "Cluster",
            "shortName": "",
            "description": "This training session is designed to help you deal with the platform compute cluster and data banks. You will launch your first processing batch on the cluster and will learn how to track and manage them. Organized jointly by the Sigenae and bioinfo genotoul platforms.",
            "homepage": "https://bioinfo.genotoul.fr/index.php/events/cluster-2/",
            "is_draft": false,
            "costs": [
                "Priced",
                "Non-academic: 550€ + 20% taxes (TVA)",
                "Academic but non-INRAE: 170 € + 20% taxes (TVA)",
                "For INRAE's staff: 150 € no VAT charged;"
            ],
            "topics": [],
            "keywords": [
                "Linux",
                "Cluster"
            ],
            "prerequisites": [
                "Linux/Unix"
            ],
            "openTo": "Everyone",
            "accessConditions": "You need to register (via the website) and pay 170 euros a day for academic and 550 euros a day for a private.",
            "maxParticipants": 12,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/344/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/739/?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": "https://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png",
            "updated_at": "2025-12-09T12:59:00.748410Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "Novice",
            "trainingMaterials": [
                {
                    "id": 139,
                    "name": "Cluster Slides - Genotoul-bioinfo",
                    "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Cluster%20Slides%20-%20Genotoul-bioinfo/?format=api"
                },
                {
                    "id": 140,
                    "name": "Cluster TP - Genotoul-bioinfo",
                    "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Cluster%20TP%20-%20Genotoul-bioinfo/?format=api"
                }
            ],
            "learningOutcomes": "",
            "hoursPresentations": 3,
            "hoursHandsOn": 3,
            "hoursTotal": 6,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/475/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/477/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/753/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/610/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/261/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/529/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/633/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/668/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/720/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/801/?format=api"
            ]
        },
        {
            "id": 59,
            "name": "Advanced sequence analysis",
            "shortName": "",
            "description": "https://cnrsformation.cnrs.fr/stage-19019-Analyse-avancee-de-sequences.h...\n",
            "homepage": "https://cnrsformation.cnrs.fr/pdf/16148.pdf",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "NGS Data Analysis",
                "Analysis of RNAseq data",
                "Sequence Algorithm",
                "Bioinformatics & Biomedical",
                "Galaxy",
                "Variant analysis",
                "Transcriptomics (RNA-seq)",
                "Genomics (DNA-seq)",
                "Sequence annotation",
                "Pattern matching",
                "Multiple sequence alignment"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "CNRS fee-based training\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": [
                "https://catalogue.france-bioinformatique.fr/api/event/259/?format=api"
            ]
        },
        {
            "id": 44,
            "name": "Introduction Unix pour les biologistes",
            "shortName": "",
            "description": "https://www.biosciencesco.fr/formations/bio-informatique/introduction-unix-pour-les-biologistes/\n",
            "homepage": "",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "Autre"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "Inscription auprès de la société FC3-­‐Bio, aucun prérequis\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": 42,
            "name": "Initiation to R language",
            "shortName": "",
            "description": "OBJECTIVES :\n* Acquire basic knowledge on the  R language\n* Experience the main features of R\n* Be autonomous in handling data\n* Perform simple statistical analysis and build charts\n* Learn how to create functions\n",
            "homepage": "http://www.pf-bird.univ-nantes.fr/training/",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "Programming Languages & Computer Sciences",
                "R Language"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "This training is open to all (public and private) with no institution restrictions and is accessible through the University of Nantes continuing education programme.\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 55,
                    "name": "University of Nantes",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20of%20Nantes/?format=api"
                }
            ],
            "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": 270,
            "name": "Command line inititation",
            "shortName": "",
            "description": "Objectives :\n    Knowing the principles and advantages of the Linux system\n    Knowing how to use the main bash commands\n    Knowing how to launch programs with arguments\n    Acquiring autonomy to perform bioinformatics analysis on the command line.\n",
            "homepage": "http://www.pf-bird.univ-nantes.fr/training/",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "Cluster",
                "Computing Environments"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "This training is open to all (public and private) with no institution restrictions and is accessible through the University of Nantes continuing education programme.\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": 269,
            "name": "Diplôme Universitaire en Bioinformatique Intégrative",
            "shortName": "DU-Bii",
            "description": "La bioinformatique est devenue une compétence incontournable pour l'analyse de données de nature diverse : génomes, transcriptomes, protéomes, métabolomes, structures macromoléculaires, réseaux d'interactions. L'appropriation par les biologistes des méthodes et outils de biostatistique et bioinformatique intégrative est un enjeu majeur pour la montée en compétence des équipes de recherche et des plateformes de service.\r\n\r\nL'université Paris Diderot propose en partenariat avec l'Institut Français de Bioinformatique (IFB) la deuxième édition du Diplôme Universitaire en Bioinformatique intégrative (DU-Bii). Cette formation s’adresse en priorité à des biologistes en demande d'évolution ou de reconversion professionnelle ayant déjà acquis des compétences (formation courte, autoapprentissage, expérience de terrain) en informatique ou bioinformatique/biostatistique (environnement Unix, Python ou R ou autre langage de programmation). Les prérequis sont décrits sur le portail “DU” de l’université Paris Diderot, qui présente le DU-Bii et le DU complémentaire \"Création, Analyse et Valorisation de données omiques\" (DUO).\r\n\r\nLe DU-Bii fournira une formation théorique et pratique, complétée par une période d'immersion sur l'une des plateformes régionales de l'IFB, qui mobilisera, dans le cadre d'un projet tutoré, l'ensemble des méthodes et outils appris durant les cours pour réaliser un projet personnel de bioinformatique intégrative. Ce projet combinera des données propres à chaque participant produites dans son laboratoire (principe BYOD : “Bring Your Own Data”) ou collectées à partir de bases de données publiques.\r\n\r\nRenseignements et candidatures : fcsdv@univ-paris-diderot.fr\r\nInscriptions : voir la page page du DU-Bii de l'Université Paris Diderot\r\nContacts Paris-Diderot : Bertrand.Cosson@univ-paris-diderot.fr \r\nContacts IFB : Helene.Chiapello@inra.fr, Jacques.van-Helden@univ-amu.fr",
            "homepage": "https://www.france-bioinformatique.fr/dubii/",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 28,
                    "name": "University Paris-Cité",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20Paris-Cit%C3%A9/?format=api"
                },
                {
                    "id": 4,
                    "name": "IFB - ELIXIR-FR",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api"
                }
            ],
            "organisedByTeams": [],
            "logo_url": "https://www.france-bioinformatique.fr/wp-content/uploads/logo-ifb-couleur.svg",
            "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/197/?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": 10,
                    "name": "MIGALE",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api"
                },
                {
                    "id": 14,
                    "name": "BiGEst",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/BiGEst/?format=api"
                },
                {
                    "id": 4,
                    "name": "ABiMS",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/ABiMS/?format=api"
                },
                {
                    "id": 29,
                    "name": "IFB Core",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?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",
                "https://catalogue.france-bioinformatique.fr/api/event/760/?format=api"
            ]
        },
        {
            "id": 398,
            "name": "Practical session REPET",
            "shortName": "REPET",
            "description": "How to use REPET for de novo TE annotation",
            "homepage": "",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [
                "http://edamontology.org/topic_0798",
                "http://edamontology.org/topic_0780",
                "http://edamontology.org/topic_0091"
            ],
            "keywords": [],
            "prerequisites": [
                "none"
            ],
            "openTo": "Everyone",
            "accessConditions": "Public",
            "maxParticipants": null,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/131/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 39,
                    "name": "URGI - US1164",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/URGI%20-%20US1164/?format=api"
                },
                {
                    "id": 82,
                    "name": "INRAE",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 26,
                    "name": "URGI",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/URGI/?format=api"
                }
            ],
            "logo_url": "https://urgi.versailles.inra.fr/extension/inra/design/urgi/images/logoURGI_res72_2-82X1-98.png",
            "updated_at": "2025-09-12T12:48:41.366810Z",
            "audienceTypes": [
                "Graduate",
                "Professional (initial)",
                "Professional (continued)"
            ],
            "audienceRoles": [
                "All"
            ],
            "difficultyLevel": "Novice",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": false,
            "event_set": []
        },
        {
            "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": 400,
            "name": "Interactive Online Companionship - SingleCell RNAseq Analysis with R Seurat 2026",
            "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\nscRNAseq Data Analysis (March to June 2026) – 10 sessions of 3 hours – €2000\r\n\r\nLearn how to analyze single-cell RNA sequencing data through practical examples. You’ll work on a provided dataset and receive personalized feedback on your own projects. This training requires a proficiency in R.\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": [
                "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": "2026-07-10T10:28:21.574677Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "Intermediate",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": 36,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": []
        },
        {
            "id": 258,
            "name": "Introduction to R Language",
            "shortName": "",
            "description": "https://cnrsformation.cnrs.fr/stage-19024-Langage-R--introduction.html?a...\n",
            "homepage": "",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "Biostatistics"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "Formation payante dans le catalogue CNRS.\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": [
                "https://catalogue.france-bioinformatique.fr/api/event/390/?format=api"
            ]
        },
        {
            "id": 405,
            "name": "Annotation et comparaison de génomes bactériens",
            "shortName": "Annotation et comparaison de génomes bactériens",
            "description": "Connaître les concepts et les principales méthodes bioinformatiques pour annoter automatiquement et comparer un jeu de données de génomes bactériens. Construire et évaluer la qualité d’un jeu de données publiques. Évaluer la qualité et annoter automatiquement un jeu de données. Savoir mettre en oeuvre une comparaison de génomes et en interpréter les résultats.\r\n\r\nProgramme :\r\n\r\n* Construction d’un jeu de données :\r\n        Téléchargement de données publiques\r\n        Evaluation de la qualité d’un jeu de données\r\n\r\n* Principes et mise en œuvre d’une annotation automatique d’un génome bactérien\r\n\r\n * Caractérisation de la diversité génomique\r\n\r\n * Construction de pangénomes\r\n\r\n * Analyse des résultats :\r\n        Résultats et métriques d’un pangénome\r\n        Notions élémentaires de phylogénomique\r\n        Visualisation et interprétation des résultats\r\n\r\n * Mise en pratique sur un jeu de données bactériens, utilisation des logiciels dRep, Quast, Bakta et PPanGGOLiN sous Galaxy.",
            "homepage": "https://documents.migale.inrae.fr/trainings.html",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [
                "http://edamontology.org/topic_3299",
                "http://edamontology.org/topic_0622",
                "http://edamontology.org/topic_0797"
            ],
            "keywords": [
                "Genome annotation",
                "Comparative genomics"
            ],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 10,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/769/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 82,
                    "name": "INRAE",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api"
                },
                {
                    "id": 88,
                    "name": "BioinfOmics",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?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": "2026-02-12T10:45:53.661422Z",
            "audienceTypes": [
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Biologists",
                "Bioinformaticians"
            ],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "Connaître les concepts et les principales méthodes bioinformatiques pour annoter automatiquement et comparer un jeu de données de génomes bactériens. Construire et évaluer la qualité d’un jeu de données publiques. Évaluer la qualité et annoter automatiquement un jeu de données. Savoir mettre en oeuvre une comparaison de génomes et en interpréter les résultats.",
            "hoursPresentations": 6,
            "hoursHandsOn": 6,
            "hoursTotal": 12,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/791/?format=api"
            ]
        }
    ]
}