Handles creating, reading and updating events.

GET /api/event/?format=api&offset=120&ordering=keywords
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "count": 605,
    "next": "https://catalogue.france-bioinformatique.fr/api/event/?format=api&limit=20&offset=140&ordering=keywords",
    "previous": "https://catalogue.france-bioinformatique.fr/api/event/?format=api&limit=20&offset=100&ordering=keywords",
    "results": [
        {
            "id": 410,
            "name": "3ème Ecole de Bioinformatique AVIESAN",
            "shortName": "EBA 2014",
            "description": "Les domaines des sciences du vivant liés à l’analyse du génome ont vu au cours des dernières années une\r\naccumulation explosive des données provenant des techniques de séquençage à haut débit. Les progrès accomplis ont\r\nconsidérablement augmenté les possibilités expérimentales dans des domaines tels que la génomique (séquençage de\r\nnouveaux génomes, variants génétiques), la transcriptomique (expression génétique, ARNs non codants) et les\r\ninteractions ADN-protéine (immuno-précipitation de chromatine) et modifications de la chromatine. AVIESAN organise\r\nune troisième session de cette école dont les objectifs sont d’apporter aux biologistes des notions et une pratique leur\r\npermettant d’appréhender le traitement et l’analyse des données de séquençage à haut débit en utilisant un\r\nenvironnement logiciel convivial : Galaxy.\r\nL’école comportera des séminaires introductifs, des cours et des travaux pratiques consacrés à l’initiation au traitement\r\ndes données de transcriptome (RNA-seq), d’interactome (ChIP-seq) et de variations génomiques (SNP, CNV). Les\r\nparticipants disposant de données pourront discuter de leur plan d’analyse et effectuer les premières étapes de\r\ntraitement de leurs données au cours de la dernière journée.\r\nL’école est une initiation à l’utilisation des outils bioinformatiques dans un environnement Galaxy, plateforme dédiée à\r\nl’analyse des données de séquençage à haut débit. Cette formation est destinée aux biologistes (chercheurs,\r\ndoctorants, enseignants-chercheurs, ingénieurs, …) ayant déjà utilisé ou souhaitant utiliser ce type de données.",
            "homepage": "https://aviesan.fr/fr/aviesan/accueil/toute-l-actualite/itmo-ggb-3e-ecole-de-bioinformatique-initiation-au-traitement-des-donnees-de-genomique-obtenues-par-sequencage-a-haut-debit",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "Biostatistics",
                "Sequence analysis",
                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 40,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/207/?format=api"
            ],
            "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"
                }
            ],
            "organisedByOrganisations": [
                {
                    "id": 4,
                    "name": "IFB",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB/?format=api"
                },
                {
                    "id": 53,
                    "name": "AVIESAN",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/AVIESAN/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 14,
                    "name": "BiGEst",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/BiGEst/?format=api"
                },
                {
                    "id": 29,
                    "name": "IFB Core",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api"
                },
                {
                    "id": 10,
                    "name": "MIGALE",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api"
                },
                {
                    "id": 4,
                    "name": "ABiMS",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/ABiMS/?format=api"
                }
            ],
            "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/EBA2016_0_1_1_0.jpg",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2014-10-05",
            "end_date": "2014-10-10",
            "venue": "Station Biologique",
            "city": "Roscoff",
            "country": "France",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": "2014-06-27",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 489,
            "name": "Ecole Thématique de Bioinformatique Intégrative - session 2023 / Integrative Bioinforformatics training school - 2023 session",
            "shortName": "ETBII 2023",
            "description": "Dans l’objectif de développer et fédérer des compétences en bioinformatique intégrative au sein de la communauté, l’IFB propose une nouvelle école thématique ayant un double objectif :\r\n- une montée en compétences théoriques et pratiques des bioinformaticiens, biostatisticiens et bioanalystes\r\n- la constitution de matériel pédagogique partagé sur ce sujet.\r\n\r\nCette école mobilise une équipe pédagogique de 10 personnes et pourra accueillir 30 participants.\r\nL’ensemble de la formation reposera sur l’utilisation des ressources de calcul et de la plateforme pédagogique de l’Institut Français de Bioinformatique.\r\n\r\nObjectifs pédagogiques \r\n\r\nLa formation a pour but :\r\n- d’introduire les concepts de bases et les différents types d’approches utilisées en bioinformatique intégrative,\r\n- de proposer un approfondissement et une mise en pratique d’une de ces approches sur un/des jeux de données intégrant différents types de données omiques. \r\n- de créer, améliorer et partager des ressources pédagogiques (supports de formation, jeux de données, tutoriels) sur le thème de la bioinformatique intégrative.\r\n\r\nA la fin de cette formation les participants :\r\n- auront acquis un socle de connaissances générales en bioinformatique intégrative, \r\n- auront mis en oeuvre une analyse intégrative depuis la préparation des données jusqu’à l’analyse critique de résultats sur un/des jeux de données proposés lors de la formation,\r\n- auront contribué à constituer du matériel pédagogique partagé sur le sujet.\r\n\r\nPré-requis\r\n- Connaissances de base en Unix/shell, R, Python \r\n- Autonomie dans la gestion de son poste de travail (installation de librairies et maîtrise des environnements de packaging type conda)",
            "homepage": "https://www.france-bioinformatique.fr/formation/etbii/",
            "is_draft": false,
            "costs": [
                "770 TTC pour les académiques  et 1540 TTC pour les privés"
            ],
            "topics": [
                "http://edamontology.org/topic_3391",
                "http://edamontology.org/topic_3366",
                "http://edamontology.org/topic_0091"
            ],
            "keywords": [
                "Methodology",
                "Biostatistics",
                "Biological network inference and analysis",
                "Dimension reduction",
                "Semantic web",
                "Integration of heterogeneous data",
                "Data Integration",
                "Tool integration"
            ],
            "prerequisites": [
                "Linux and knowledge of NGS formats",
                "Basic knowledge of R"
            ],
            "openTo": "Everyone",
            "accessConditions": "Cette formation est ouverte à toute la communauté mais cette première édition s’adresse en priorité à des bioinformaticien·ne·s des plateformes membres et équipes associées IFB souhaitant contribuer à la constitution de matériel pédagogique pour se préparer au montage de futures formations sur ce thème.",
            "maxParticipants": 30,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/762/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [
                {
                    "id": 1,
                    "name": "CNRS - IFB",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/CNRS%20-%20IFB/?format=api"
                }
            ],
            "organisedByOrganisations": [
                {
                    "id": 4,
                    "name": "IFB",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 29,
                    "name": "IFB Core",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api"
                }
            ],
            "logo_url": "https://www.france-bioinformatique.fr/wp-content/uploads/Logo_ETBII_Couleurs.png",
            "updated_at": "2023-05-17T10:02:50.638104Z",
            "type": "Training course",
            "start_date": "2023-01-16",
            "end_date": "2023-01-20",
            "venue": "Accès\r\n\r\nTrain : TGV, gare de St-Raphaël-Valescure (3 km) et car (ligne 3) jusqu’à la Villa Clythia.\r\nÀ 1h30 de Nice, 1h20 de Toulon, 2h10 de Marseille et 7h30 de Paris.\r\n\r\nVoiture : Sur l’A8 prendre la sortie n° 38, Fréjus. Cartes Michelin 82 et 245.\r\nAvion : Nice (70 km), Toulon (90 km), Marseille (140 km).\r\n\r\nTransfert : Navettes depuis la gare de St Raphael. Taxis depuis l’aéroport de\r\nNice (sur réservation).\r\n\r\nCAES du CNRS\r\nLa Villa Clythia\r\n2754, rue Henri Giraud\r\n83600 Fréjus",
            "city": "Fréjus",
            "country": "France",
            "geographical_range": "National",
            "trainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/762/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/756/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/750/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/237/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/657/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/722/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/146/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/556/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/721/?format=api"
            ],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2022-09-12",
            "registration_closing": "2022-10-12",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 393,
            "name": "Cours Programmation Scientifique en Python",
            "shortName": "",
            "description": "The ever growing usage of high throughput technologies in Biology is revolutionizing the life sciences and profoundly changing its practices. Scripting languages are used on a daily basis in life science labs in order to mine huge data sets produced by high-throughput devices. This two-week course will give participants basic knowledge in python and state-of-the-art machine learning methods to analyze their own data sets.\r\nDescription:\r\nThis course is intended for PhD students, engineers and research scientists willing to acquire knowledge in scientific programming. Throughout the course, we will use Python language to lead participants from the basics of computer programming to more advanced techniques such as practical machine learning techniques.",
            "homepage": "https://www.pasteur.fr/fr/programmation-scientifique-python",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [
                "Toolkit",
                "Tool integration",
                "Workflow development",
                "Parallelization",
                "Développements technologiques de l‘Information et de la Communication"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "being an internal personnel",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [
                {
                    "id": 12,
                    "name": "INCEPTION",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/INCEPTION/?format=api"
                }
            ],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": null,
            "updated_at": "2024-06-10T12:40:00.372956Z",
            "type": "Training course",
            "start_date": "2017-03-26",
            "end_date": "2017-03-30",
            "venue": "",
            "city": "Institut Pasteur",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": "Online"
        },
        {
            "id": 257,
            "name": "Analyse de données RNA-seq sous l’environnement Galaxy ",
            "shortName": "",
            "description": "\n\nObjectifs de la formation\nAcquérir les connaissances générales sur les méthodes de séquençage à haut-débit.\nConnaître les caractéristiques des données obtenues dans le cadre de l’analyse du transcriptome (RNA-seq).\nSavoir planifier une expérience simple de type RNA-seq en fonction de ses objectifs scientifiques et des caractéristiques et contraintes expérimentales.\nConnaître les principales méthodes et outils d’analyse des données RNA-seq . Pouvoir les mettre en oeuvre dans un cas simple via un serveur web Galaxy.\nPouvoir visualiser les résultats dans un navigateur de génome.\nDurée de la formation : 2,5 jours\n\n\n",
            "homepage": "http://www.biosciencesco.fr/formation-continue/bio-informatique/analyse-des-donn…",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "Methodology",
                "Biostatistics",
                "NGS Data Analysis",
                "Analysis of RNAseq data",
                "Assembly of genomes and transcriptomes",
                "Read alignment on genomes",
                "Statistical Tests",
                "Gene expression differential analysis",
                "Galaxy",
                "Transcript and transcript variant analysis",
                "Transcriptomics (RNA-seq)",
                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "Informations et inscriptions:\nhttp://www.biosciencesco.fr/formation-continue/bio-informatique/analyse-...\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2017-11-14",
            "end_date": "2017-11-16",
            "venue": "",
            "city": "PRABI (Campus scientifique de la Doua, LYON-VILLEURBANNE)",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "id": 281,
            "name": "Cycle « Analyse de données de séquençage à haut-débit » - Module 5/5 : Métagénomique",
            "shortName": "",
            "description": "Bilille propose chaque année un cycle de formation d'introduction à l'analyse des données de séquençage à haut débit.\r\nCe cycle est composé de 5 modules, à la carte : \r\n- Module 1: Analyses ADN\r\n- Module 2: Analyses de variants\r\n- Module 3: Analyses RNA-seq, bioinformatique\r\n- Module 4: Analyses RNA-seq, biostatistique\r\n- Module 5: Métagénomique\r\nLes fiches descriptives sont accessibles sur le site de Bilille. Chaque module comprend des présentations générales et des séances pratiques sur ordinateur, avec Galaxy.\r\nLes objectifs du module 5 sont :\r\n- Connaître les différentes méthodes de séquençage à haut débit pour la métagénomique, avec leurs avantages et leurs limites : métagénomique ciblée, métagénomique génomes entiers, métatranscriptomique\r\n- Comprendre les différentes étapes analytiques du traitement bioinformatique des données et savoir les mettre en œuvre\r\n- Savoir conduire une analyse statistique pour l’estimation de la richesse de la biodiversité\r\n- Aller jusqu’aux conclusions biologiques",
            "homepage": "https://bilille.univ-lille.fr/training/training-offer",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [
                "NGS Data Analysis",
                "Metagenomics",
                "Assembly of genomes and transcriptomes",
                "Read alignment on genomes",
                "metatranscriptomics",
                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [
                "Galaxy - Basic usage"
            ],
            "openTo": "Internal personnel",
            "accessConditions": "- Etre familier avec la plate-forme web Galaxy (idéalement avoir suivi la formation bilille « Initiation à Galaxy »)\r\n- Avoir suivi le module 1/5 « Analyses ADN » de ce cycle ou toute autre formation permettant de justifier de connaissances sur les données de séquençage haut débit et leur alignement. Etre familier avec le vocabulaire et les étapes de base de l’analyse de données de séquençage : nettoyage, assemblage, mapping",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 52,
                    "name": "CNRS",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api"
                },
                {
                    "id": 56,
                    "name": "INSERM",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api"
                },
                {
                    "id": 66,
                    "name": "UDL",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/UDL/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 3,
                    "name": "Bilille",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/Bilille/?format=api"
                }
            ],
            "logo_url": "https://bilille.univ-lille.fr/fileadmin/_processed_/9/2/csm_logo_bilille_complet_65be9bda8b.png",
            "updated_at": "2024-12-09T17:38:01.340793Z",
            "type": "Training course",
            "start_date": "2019-11-19",
            "end_date": "2019-11-21",
            "venue": "",
            "city": "Villeneuve d'Ascq",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": "2019-02-15",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 515,
            "name": "Cycle « Analyse de données de séquençage à haut-débit » - Module  Analyses ADN (sous Galaxy) - Session Mars 2023",
            "shortName": "",
            "description": "Bilille, la plateforme de bioinformatique, biostatistique et bioanalyse de la métropole lilloise, propose chaque année un cycle de formation d'introduction à l'analyse des données de séquençage à haut débit.\r\nCe cycle est composé des modules suivants, à la carte : \r\n- Analyses ADN\r\n- Analyses de variants\r\n- Métagénomique\r\n- Analyses ChIP-seq\r\n- Analyses RNA-seq\r\nLes fiches descriptives sont accessibles sur le site de bilille. Chaque module comprend des présentations générales et des séances pratiques sur ordinateur, avec Galaxy.\r\n\r\nLes objectifs du module Analyses ADN sont :\r\n- Apprendre à manipuler des données de séquençage d’ADN\r\n- Réaliser des contrôles de qualité et du nettoyage des lectures\r\n- Présenter les méthodes et outils d'alignement\r\n- Réaliser des contrôles de qualité et des alignements sur une référence\r\n- Introduction à l’assemblage des lectures sans référence\r\n- Utiliser la plateforme Galaxy pour ces analyses",
            "homepage": "https://bilille.univ-lille.fr/training/training-offer",
            "is_draft": false,
            "costs": [
                "Free to academics"
            ],
            "topics": [],
            "keywords": [
                "NGS Data Analysis",
                "Assembly of genomes and transcriptomes",
                "Read alignment on genomes",
                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [
                "Galaxy - Basic usage"
            ],
            "openTo": "Everyone",
            "accessConditions": "Le cycle de formation \"Analyse de données de séquençage à haut-débit\" organisé par bilille est financé par les services formation des personnels de l'Université de Lille, CNRS et Inserm, et est ouvert en priorité aux personnels de la région des Hauts-de-France de ces organismes.",
            "maxParticipants": 14,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/763/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/487/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 52,
                    "name": "CNRS",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api"
                },
                {
                    "id": 56,
                    "name": "INSERM",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api"
                },
                {
                    "id": 66,
                    "name": "UDL",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/UDL/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 3,
                    "name": "Bilille",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/Bilille/?format=api"
                }
            ],
            "logo_url": "https://bilille.univ-lille.fr/fileadmin/_processed_/9/2/csm_logo_bilille_complet_65be9bda8b.png",
            "updated_at": "2024-12-09T17:37:52.573465Z",
            "type": "Training course",
            "start_date": "2023-03-08",
            "end_date": "2023-03-09",
            "venue": "",
            "city": "Lille",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2022-11-14",
            "registration_closing": "2023-02-28",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 278,
            "name": "Cycle « Analyse de données de séquençage à haut-débit » - Module 1/5 : Analyses ADN",
            "shortName": "",
            "description": "Bilille propose chaque année un cycle de formation d'introduction à l'analyse des données de séquençage à haut débit.\r\nCe cycle est composé de 5 modules, à la carte : \r\n- Module 1: Analyses ADN\r\n- Module 2: Analyses de variants\r\n- Module 3: Analyses RNA-seq, bioinformatique\r\n- Module 4: Analyses RNA-seq, biostatistique\r\n- Module 5: Métagénomique\r\nLes fiches descriptives sont accessibles sur le site de Bilille. Chaque module comprend des présentations générales et des séances pratiques sur ordinateur, avec Galaxy.\r\nLes objectifs du module 1 sont :\r\n- Apprendre à manipuler des données de séquençage d’ADN\r\n- Réaliser des contrôles de qualité et du nettoyage des lectures\r\n- Présenter les méthodes et outils d'alignement\r\n- Réaliser des contrôles de qualité et des alignements sur une référence\r\n- Introduction à l’assemblage des lectures sans référence\r\n- Utiliser la plateforme Galaxy pour ces analyses",
            "homepage": "https://bilille.univ-lille.fr/training/training-offer",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [
                "NGS Data Analysis",
                "Assembly of genomes and transcriptomes",
                "Read alignment on genomes",
                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [
                "Galaxy - Basic usage"
            ],
            "openTo": "Internal personnel",
            "accessConditions": "Etre familier avec la plate-forme web Galaxy (idéalement avoir suivi la formation bilille « Initiation à Galaxy »)",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 52,
                    "name": "CNRS",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api"
                },
                {
                    "id": 56,
                    "name": "INSERM",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api"
                },
                {
                    "id": 66,
                    "name": "UDL",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/UDL/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 3,
                    "name": "Bilille",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/Bilille/?format=api"
                }
            ],
            "logo_url": "https://bilille.univ-lille.fr/fileadmin/_processed_/9/2/csm_logo_bilille_complet_65be9bda8b.png",
            "updated_at": "2024-12-09T17:38:35.576886Z",
            "type": "Training course",
            "start_date": "2019-03-06",
            "end_date": "2019-03-07",
            "venue": "",
            "city": "Villeneuve d'Ascq",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": "2019-02-15",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 264,
            "name": "Bioinformatique pour le traitement de données de séquençage (NGS)",
            "shortName": "",
            "description": "\nLes objectifs sont :\n- Savoir choisir les outils d'analyse\n- Etre autonome pour effectuer un pipeline d'analyse\n- Comprendre les principes des méthodes d'analyse\n- Savoir manipuler les fichiers de séquences : préparation et filtration\n- Etre capable d'évaluer la qualité des données\n- Savoir analyser avec ou sans génome de référence\nhttps://cnrsformation.cnrs.fr/\n\n",
            "homepage": "http://cnrsformation.cnrs.fr/stage-17010-Bioinformatique-pour-le-traitement-de-d…",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "Methodology",
                "NGS Data Analysis",
                "Analysis of RNAseq data",
                "Assembly of genomes and transcriptomes",
                "Read alignment on genomes",
                "Variant analysis",
                "Complete genomes",
                "Transcriptomics (RNA-seq)",
                "Genomics (DNA-seq)",
                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "S'acquitter des frais d'inscription, notions de base en informatique : fichiers, répertoire..., notions du système linux et des lignes de commandes, niveau master\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2019-03-24",
            "end_date": "2019-03-28",
            "venue": "",
            "city": "Montpellier",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "id": 262,
            "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": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2018-10-07",
            "end_date": "2018-10-08",
            "venue": "",
            "city": "Auzeville-Tolosane",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "id": 280,
            "name": "Cycle « Analyse de données de séquençage à haut-débit » - Module 2/5 : Analyses de variants",
            "shortName": "",
            "description": "Bilille propose chaque année un cycle de formation d'introduction à l'analyse des données de séquençage à haut débit.\r\nCe cycle est composé de 5 modules, à la carte : \r\n- Module 1: Analyses ADN\r\n- Module 2: Analyses de variants\r\n- Module 3: Analyses RNA-seq, bioinformatique\r\n- Module 4: Analyses RNA-seq, biostatistique\r\n- Module 5: Métagénomique\r\nLes fiches descriptives sont accessibles sur le site de Bilille. Chaque module comprend des présentations générales et des séances pratiques sur ordinateur, avec Galaxy.\r\nLes objectifs du module 2 sont :\r\n- Comprendre les grands principes de la détection de variants\r\n- Réaliser les différentes étapes du post-traitement des données d’alignement à la détection de variants\r\n- Adapter l’analyse en fonction du type de données NGS générées\r\n- Comprendre la structure des données de variants\r\n- Savoir annoter des variants\r\n- Etre capable d’interpréter une liste de variants grâce aux outils libres disponibles",
            "homepage": "https://bilille.univ-lille.fr/training/training-offer",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [
                "NGS Data Analysis",
                "Panels (amplicons, captures)",
                "Exomes",
                "Variant analysis",
                "Genomics (DNA-seq)",
                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [
                "Galaxy - Basic usage"
            ],
            "openTo": "Internal personnel",
            "accessConditions": "- Etre familier avec la plate-forme web Galaxy (idéalement avoir suivi la formation bilille « Initiation à Galaxy »)\r\n- Avoir suivi le module 1/5 « Analyses ADN » de ce cycle ou toute autre formation permettant de justifier de connaissances sur les données de séquençage haut débit et leur alignement",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 52,
                    "name": "CNRS",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api"
                },
                {
                    "id": 56,
                    "name": "INSERM",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api"
                },
                {
                    "id": 66,
                    "name": "UDL",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/UDL/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 3,
                    "name": "Bilille",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/Bilille/?format=api"
                }
            ],
            "logo_url": "https://bilille.univ-lille.fr/fileadmin/_processed_/9/2/csm_logo_bilille_complet_65be9bda8b.png",
            "updated_at": "2024-12-09T17:38:09.983716Z",
            "type": "Training course",
            "start_date": "2019-03-31",
            "end_date": "2019-04-02",
            "venue": "",
            "city": "Villeneuve d'Ascq",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": "2019-02-15",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 259,
            "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": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2019-05-13",
            "end_date": null,
            "venue": "",
            "city": "CBiB",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "id": 258,
            "name": "Analysis of NGS data with R",
            "shortName": "",
            "description": "https://cnrsformation.cnrs.fr/stage-19025-Analyses-NGS-avec-R.html?axe=98\n",
            "homepage": "https://cnrsformation.cnrs.fr/pdf/16147.pdf",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "NGS Data Analysis",
                "Analysis of RNAseq data",
                "Statistical Tests",
                "R Language",
                "Variant analysis",
                "Knowledge mining",
                "Statistical Genetics",
                "Transcriptomics (RNA-seq)",
                "Genomics (DNA-seq)"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "CNRS fee-based training\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2019-05-22",
            "end_date": null,
            "venue": "",
            "city": "CBiB",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "id": 247,
            "name": "Annotation de génomes microbiens",
            "shortName": "",
            "description": "Modules en prépartion....\n",
            "homepage": "http://migale.jouy.inra.fr/",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "Metagenomics",
                "Genome analysis",
                "Structural and functional annotation of genomes",
                "Genomics (DNA-seq)"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "Ce cycle est ouvert à l'ensemble des agents de l'INRA et aux extérieurs.\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2017-05-14",
            "end_date": "2017-05-17",
            "venue": "",
            "city": "Jouy en Josas",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "id": 264,
            "name": "Bioinformatique pour le traitement de données de séquençage (NGS)",
            "shortName": "",
            "description": "\nLes objectifs sont :\n- Savoir choisir les outils d'analyse\n- Etre autonome pour effectuer un pipeline d'analyse\n- Comprendre les principes des méthodes d'analyse\n- Savoir manipuler les fichiers de séquences : préparation et filtration\n- Etre capable d'évaluer la qualité des données\n- Savoir analyser avec ou sans génome de référence\nhttps://cnrsformation.cnrs.fr/\n\n",
            "homepage": "http://cnrsformation.cnrs.fr/stage-17010-Bioinformatique-pour-le-traitement-de-d…",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "Methodology",
                "NGS Data Analysis",
                "Analysis of RNAseq data",
                "Assembly of genomes and transcriptomes",
                "Read alignment on genomes",
                "Variant analysis",
                "Complete genomes",
                "Transcriptomics (RNA-seq)",
                "Genomics (DNA-seq)",
                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "S'acquitter des frais d'inscription, notions de base en informatique : fichiers, répertoire..., notions du système linux et des lignes de commandes, niveau master\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2019-03-24",
            "end_date": "2019-03-28",
            "venue": "",
            "city": "Montpellier",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "id": 439,
            "name": "Annotation and analysis of prokaryotic genomes using the MicroScope platform - novembre 2022",
            "shortName": "MicroScope training - nov 2022",
            "description": "In an effort to inform members of the research community about our annotation methods, to provide training for collaborators and other scientists who use the MicroScope platfom, and to inform scientific public on the analysis available in PkGDB (Prokaryotic Genome DataBase), we have developed a 4.5-day course in Microbial Genome Annotation and Comparative Analysis using the MaGe graphical interfaces.\r\n\r\nThis course will familiarize attendees with LABGeM’s annotation pipeline and the manual annotation software MaGe (Magnifying Genome) . No specific bioinformatics skill is required: detailed instruction on the algorithm developed in each annotation methods can be found in specific training courses on «Genomic sequences analysis». Here we focus on the general idea behind each method and, above all, the way you can interpret the corresponding results and combine them with other evidences in order to change or correct the current automatic functional annotation of a given gene, if necessary.\r\n\r\nThis course will also describe how to perform effective searches and analysis of procaryotic data using the graphical functionalities of the MaGe’s interfaces. Because of the numerous pre-computation available in our system (results of “common” annotation tools, synteny with all complete bacterial genomes, metabolic pathway reconstruction, fusion/fission events, genomic islands, …), many practical exercises allow attendees to get familiar with the use the MaGe graphical interfaces in order to efficiently explore these sets of results.",
            "homepage": "https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/training-annotation-analysis-of-prokaryotic-genomes-using-the-microscope-platform/",
            "is_draft": false,
            "costs": [
                "2500 € for private companies",
                "1350 € for academics",
                "945 € for students"
            ],
            "topics": [
                "http://edamontology.org/topic_0797",
                "http://edamontology.org/topic_0085",
                "http://edamontology.org/topic_3301"
            ],
            "keywords": [
                "Genome analysis",
                "Sequence annotation"
            ],
            "prerequisites": [
                "Licence"
            ],
            "openTo": "Everyone",
            "accessConditions": "External training sessions can also be scheduled on demand, in France or abroad. See : https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/external-microscope-professional-training-sessions/",
            "maxParticipants": 12,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/90/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [
                {
                    "id": 15,
                    "name": "Laboratory of Bioinformatics Analyses for Genomics and Metabolism",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Laboratory%20of%20Bioinformatics%20Analyses%20for%20Genomics%20and%20Metabolism/?format=api"
                }
            ],
            "organisedByOrganisations": [],
            "organisedByTeams": [
                {
                    "id": 9,
                    "name": "MicroScope",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/MicroScope/?format=api"
                }
            ],
            "logo_url": null,
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2022-11-21",
            "end_date": "2022-11-25",
            "venue": "Evry University Paris Saclay",
            "city": "Evry",
            "country": "France",
            "geographical_range": "International",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2022-01-24",
            "registration_closing": "2022-10-20",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 436,
            "name": "Annotation and analysis of prokaryotic genomes using the MicroScope platform - mars 2022",
            "shortName": "MicroScope training mars 2022",
            "description": "In an effort to inform members of the research community about our annotation methods, to provide training for collaborators and other scientists who use the MicroScope platfom, and to inform scientific public on the analysis available in PkGDB (Prokaryotic Genome DataBase), we have developed a 4.5-day course in Microbial Genome Annotation and Comparative Analysis using the MaGe graphical interfaces.\r\n\r\nThis course will familiarize attendees with LABGeM’s annotation pipeline and the manual annotation software MaGe (Magnifying Genome) . No specific bioinformatics skill is required: detailed instruction on the algorithm developed in each annotation methods can be found in specific training courses on «Genomic sequences analysis». Here we focus on the general idea behind each method and, above all, the way you can interpret the corresponding results and combine them with other evidences in order to change or correct the current automatic functional annotation of a given gene, if necessary.\r\n\r\nThis course will also describe how to perform effective searches and analysis of procaryotic data using the graphical functionalities of the MaGe’s interfaces. Because of the numerous pre-computation available in our system (results of “common” annotation tools, synteny with all complete bacterial genomes, metabolic pathway reconstruction, fusion/fission events, genomic islands, …), many practical exercises allow attendees to get familiar with the use the MaGe graphical interfaces in order to efficiently explore these sets of results.",
            "homepage": "https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/training-annotation-analysis-of-prokaryotic-genomes-using-the-microscope-platform/",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [
                "http://edamontology.org/topic_0797",
                "http://edamontology.org/topic_0085",
                "http://edamontology.org/topic_3301"
            ],
            "keywords": [
                "Genome analysis",
                "Sequence annotation"
            ],
            "prerequisites": [
                "Licence"
            ],
            "openTo": "Everyone",
            "accessConditions": "External training sessions can also be scheduled on demand, in France or abroad. See : https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/external-microscope-professional-training-sessions/",
            "maxParticipants": 12,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/90/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [
                {
                    "id": 15,
                    "name": "Laboratory of Bioinformatics Analyses for Genomics and Metabolism",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Laboratory%20of%20Bioinformatics%20Analyses%20for%20Genomics%20and%20Metabolism/?format=api"
                }
            ],
            "organisedByOrganisations": [
                {
                    "id": 67,
                    "name": "University of Paris-Saclay",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20of%20Paris-Saclay/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 9,
                    "name": "MicroScope",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/MicroScope/?format=api"
                }
            ],
            "logo_url": null,
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2022-03-14",
            "end_date": "2022-03-18",
            "venue": "Evry University Paris Saclay",
            "city": "Evry",
            "country": "France",
            "geographical_range": "International",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2022-01-24",
            "registration_closing": "2022-02-14",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 506,
            "name": "Annotation and analysis of prokaryotic genomes using the MicroScope platform - March 2023",
            "shortName": "MicroScope training - march 2023",
            "description": "In an effort to inform members of the research community about our annotation methods, to provide training for collaborators and other scientists who use the MicroScope platfom, and to inform scientific public on the analysis available in PkGDB (Prokaryotic Genome DataBase), we have developed a 4.5-day course in Microbial Genome Annotation and Comparative Analysis using the MaGe graphical interfaces.\r\n\r\nThis course will familiarize attendees with LABGeM’s annotation pipeline and the manual annotation software MaGe (Magnifying Genome) . No specific bioinformatics skill is required: detailed instruction on the algorithm developed in each annotation methods can be found in specific training courses on «Genomic sequences analysis». Here we focus on the general idea behind each method and, above all, the way you can interpret the corresponding results and combine them with other evidences in order to change or correct the current automatic functional annotation of a given gene, if necessary.\r\n\r\nThis course will also describe how to perform effective searches and analysis of procaryotic data using the graphical functionalities of the MaGe’s interfaces. Because of the numerous pre-computation available in our system (results of “common” annotation tools, synteny with all complete bacterial genomes, metabolic pathway reconstruction, fusion/fission events, genomic islands, …), many practical exercises allow attendees to get familiar with the use the MaGe graphical interfaces in order to efficiently explore these sets of results.",
            "homepage": "https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/training-annotation-analysis-of-prokaryotic-genomes-using-the-microscope-platform/",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [
                "http://edamontology.org/topic_0797",
                "http://edamontology.org/topic_0085",
                "http://edamontology.org/topic_3301"
            ],
            "keywords": [
                "genomics",
                "Sequence analysis",
                "Microbial evolution",
                "Genome analysis",
                "Structural and functional annotation of genomes"
            ],
            "prerequisites": [
                "Licence"
            ],
            "openTo": "Everyone",
            "accessConditions": "External training sessions can also be scheduled on demand, in France or abroad. See : https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/external-microscope-professional-training-sessions/",
            "maxParticipants": 12,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [
                {
                    "id": 15,
                    "name": "Laboratory of Bioinformatics Analyses for Genomics and Metabolism",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Laboratory%20of%20Bioinformatics%20Analyses%20for%20Genomics%20and%20Metabolism/?format=api"
                }
            ],
            "organisedByOrganisations": [
                {
                    "id": 67,
                    "name": "University of Paris-Saclay",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20of%20Paris-Saclay/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 9,
                    "name": "MicroScope",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/MicroScope/?format=api"
                }
            ],
            "logo_url": "https://labgem.genoscope.cns.fr/wp-content/uploads/2021/06/GENOSCOPE-LABGeM.jpg",
            "updated_at": "2023-05-17T09:53:07.876054Z",
            "type": "Training course",
            "start_date": "2023-03-20",
            "end_date": "2023-03-24",
            "venue": "",
            "city": "Evry",
            "country": "France",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": "2023-02-20",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 561,
            "name": "Introduction to Microbial Comparative Genomics 2022",
            "shortName": "",
            "description": "This course offers an introduction to microbial genomics analysis.\r\nIt includes 5 issues: assembly, genome annotation, circos visualization, pan-genome construction, pan-GWAS.",
            "homepage": "https://southgreenplatform.github.io/trainings//bacterialGenomics/",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [
                "genomics",
                "Structural genomics",
                "Genome analysis"
            ],
            "prerequisites": [
                "Linux - Basic Knowledge"
            ],
            "openTo": "Internal personnel",
            "accessConditions": "Open to South Green close collaborators",
            "maxParticipants": 20,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/174/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/771/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/772/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/773/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [
                {
                    "id": 24,
                    "name": "South Green",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/South%20Green/?format=api"
                }
            ],
            "logo_url": "https://southgreenplatform.github.io/trainings//images/southgreenlong.png",
            "updated_at": "2023-12-04T15:32:33.606313Z",
            "type": "Training course",
            "start_date": "2022-06-14",
            "end_date": "2022-06-14",
            "venue": "",
            "city": "Montpellier",
            "country": "France",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": "Onsite"
        },
        {
            "id": 247,
            "name": "Annotation de génomes microbiens",
            "shortName": "",
            "description": "Modules en prépartion....\n",
            "homepage": "http://migale.jouy.inra.fr/",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "Metagenomics",
                "Genome analysis",
                "Structural and functional annotation of genomes",
                "Genomics (DNA-seq)"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "Ce cycle est ouvert à l'ensemble des agents de l'INRA et aux extérieurs.\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2017-05-14",
            "end_date": "2017-05-17",
            "venue": "",
            "city": "Jouy en Josas",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "id": 558,
            "name": "Introduction to Microbial Comparative Genomics 2023",
            "shortName": "",
            "description": "This course offers an introduction to microbial genomics analysis.\r\nIt includes 5 issues: assembly, genome annotation, circos visualization, pan-genome construction, pan-GWAS.",
            "homepage": "https://southgreenplatform.github.io/trainings//bacterialGenomics/",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [
                "genomics",
                "Structural genomics",
                "Genome analysis"
            ],
            "prerequisites": [
                "Linux - Basic Knowledge"
            ],
            "openTo": "Internal personnel",
            "accessConditions": "Open to South Green close collaborators",
            "maxParticipants": 10,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/174/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/771/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/772/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/773/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [
                {
                    "id": 24,
                    "name": "South Green",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/South%20Green/?format=api"
                }
            ],
            "logo_url": "https://southgreenplatform.github.io/trainings//images/southgreenlong.png",
            "updated_at": "2023-12-04T15:33:22.027184Z",
            "type": "Training course",
            "start_date": "2023-06-08",
            "end_date": "2023-06-09",
            "venue": "",
            "city": "Montpellier",
            "country": "France",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": "Onsite"
        }
    ]
}