Handles creating, reading and updating events.

GET /api/event/?format=api&offset=180&ordering=-venue
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=200&ordering=-venue",
    "previous": "https://catalogue.france-bioinformatique.fr/api/event/?format=api&limit=20&offset=160&ordering=-venue",
    "results": [
        {
            "id": 511,
            "name": "New session of Molecular Phylogeny - Level 2",
            "shortName": "New session of Phylogénie moléculaire - Niveau 2",
            "description": "OBJECTIF\r\n- Être capable de tester des hypothèses et d'ajuster des modèles permettant de comprendre l'évolution à l'échelle moléculaire\r\n\r\nPRÉREQUIS\r\n- Avoir déjà utilisé les logiciels de base en phylogénie moléculaire\r\n- Maîtriser les notions de base en statistiques (tests statistiques, principe du bootstrap, intervalles de confiances, etc.) et de probabilités (probabilités jointes / conditionnelles, théorème de Bayes, etc.)\r\n- Maîtriser un langage de programmation\r\n- Notions de phylogénie moléculaire\r\nAvoir suivi le stage \"Phylogénie moléculaire - formation de base\" ou niveau équivalent \r\n\r\nPROGRAMME\r\n- Phylogénétique et génétique des populations\r\n- Détection de sélection positive au sein de séquences codantes\r\n- Datation moléculaire : intégrer fossiles et molécules\r\n- Phylogénomique\r\n- Super-arbres et super-matrices, réconciliations d'arbres\r\n- Visualisation de l'information en phylogénie\r\n- Placement phylogénétique\r\n- Bases d'épidémiologie (modèles en compartiments, ODE, applications, etc)\r\n- Simulations selon une variété de modèles épidémiologiques\r\n- Phylodynamique : combiner épidémiologie et évolution",
            "homepage": "https://cnrsformation.cnrs.fr/liste-stages-176-Bioinformatique.html",
            "is_draft": false,
            "costs": [
                "Priced",
                "1200 €"
            ],
            "topics": [],
            "keywords": [
                "Phylogeny",
                "Selection Detection",
                "Phylogenomics"
            ],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 12,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/282/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 1,
                    "name": "CNRS formation entreprises",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS%20formation%20entreprises/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 7,
                    "name": "ATGC",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/ATGC/?format=api"
                }
            ],
            "logo_url": "http://www.atgc-montpellier.fr/pictures/ATGClogo.svg",
            "updated_at": "2023-10-05T12:36:32.255069Z",
            "type": "Training course",
            "start_date": "2023-10-04",
            "end_date": "2023-10-06",
            "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": 465,
            "name": "Principes FAIR pour la gestion des données de recherche en sciences de la vie - édition Francilienne - Session 1 (mars)",
            "shortName": "FAIR data Paris mars 2022",
            "description": "Présentation et application des principes FAIR de gestion des données dans un projet bioinformatique.\r\nL’Institut Français de Bioinformatique (IFB) organise une formation à destination de bioinformaticiens, biologistes et médecins impliqués dans des projets d’analyse bioinformatique de jeux de données omiques et souhaitant mettre en œuvre les principes “FAIR” (Facile à trouver, Accessible, Interopérable, Réutilisable) tout au long du déroulement du projet. La formation abordera les différents points fondamentaux (théoriques, pratiques, juridiques) en lien avec la politique nationale d’ouverture des données de la recherche et présentera sous forme de séances pratiques les ressources nationales accessibles à la communauté scientifique ainsi que les solutions proposées par l’IFB pour gérer les données d’un projet de recherche.",
            "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=8&username=guest",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [
                "http://edamontology.org/topic_0219",
                "http://edamontology.org/topic_3571",
                "http://edamontology.org/topic_3420"
            ],
            "keywords": [
                "Données"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "public",
            "maxParticipants": 20,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [
                {
                    "id": 3,
                    "name": "IFB",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IFB/?format=api"
                }
            ],
            "organisedByOrganisations": [
                {
                    "id": 43,
                    "name": "IFB-core",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB-core/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 29,
                    "name": "IFB Core",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api"
                }
            ],
            "logo_url": "https://www.france-bioinformatique.fr/wp-content/uploads/logo-ifb-couleur.svg",
            "updated_at": "2023-10-16T08:30:29.394936Z",
            "type": "Training course",
            "start_date": "2022-03-22",
            "end_date": "2022-03-23",
            "venue": "",
            "city": "Paris",
            "country": "France",
            "geographical_range": "Local",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": "Onsite"
        },
        {
            "id": 108,
            "name": "Survival Guide for Perl applied to Bioinformatics",
            "shortName": "",
            "description": "This course provides an introduction to programming using Perl.",
            "homepage": "https://southgreenplatform.github.io/trainings//perl/",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/150x150.png",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2017-10-01",
            "end_date": "2017-10-05",
            "venue": "",
            "city": "ISRA, Bel Air, Dakar (Sénégal)",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "id": 236,
            "name": "W4E 2020",
            "shortName": "",
            "description": "During this one-week course, Participants will learn how to use the W4M infrastructure to analyze their own dataset",
            "homepage": "https://workflow4metabolomics.org/w4e2020",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/workflow4metabolomics_0.png",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2020-02-03",
            "end_date": "2020-02-07",
            "venue": "",
            "city": "Centre For Fine Arts (BOZAR), rue Royale n°10 to 1000 - Brussels (Belgium)",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "id": 336,
            "name": "Utilisation des outils d'interprétation des données de protéomique MSDA et Proline",
            "shortName": "",
            "description": "",
            "homepage": "",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2017-11-06",
            "end_date": null,
            "venue": "",
            "city": "IPHC - Strasbourg",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "id": 391,
            "name": "INTRODUCTION À L'ANALYSE DE DONNÉES",
            "shortName": "",
            "description": "\nL'utilisation de plus en plus répandue de techniques d’imagerie et de séquençage à haut-débit en biologie est en train de révolutionner les sciences du vivant et de modifier en profondeur leurs pratiques. Dans ce contexte, des outils statistiques sont développés pour permettre d’analyser ces données de hautes dimensions, et la maîtrise de ces outils devient de plus en plus nécessaire pour produire des résultats de bonne qualité. Ce cours de 4 semaines couvrira les étapes nécessaires pour mettre en place un processus d’analyse de données, depuis la planification de l’expérience jusqu’à la fouille des données en passant par l’échantillonnage, les test d’hypothèses, la modélisation statistique etc.\nCe cours s’adresse en priorité aux étudiants de première année de thèse de l’Institut Pasteur. Tout étudiant en thèse sera automatiquement inscrit à ce cours, mais les élèves de 2e année, de 3e année ou les post-doctorants peuvent également s’inscrire, dans la limite des places disponibles. Il est à noter que le cours est obligatoire pour les étudiants de 1ère année. Des dispenses partielles ou totales sont possibles pour les étudiants qui ont déjà des connaissances en statistique, en mathématique ou en physique. Le cours déroulera sur 4 semaines, 4 jours par semaine, trois heures par jour. Chaque séance de trois heures alternera cours magistral et mise en pratique. Il y aura deux sessions : la première commencera le 22 octobre 2018 et la deuxième le 14 janvier 2019.\nChacune de ces deux sessions sera précédée d’une séance d’introduction à l’informatique. Cette séance proposera des notions d’architecture de l’ordinateur, de système d’organisation des fichiers et de format de fichiers. Chaque session sera également suivie d’un cours optionnel sur l’analyse et le traitement des images.\nPour plus d’information, ainsi que pour les inscriptions au module optionnel et les demandes d’exemption, rendez-vous sur la page du cours : https://c3bi.pasteur.fr/introduction-to-data-analysis-2018-19/\nThèmes abordés\nLe module d’analyse de données couvrira un large champ de notions nécessaires aux étudiants pour planifier leurs expériences, analyser et explorer leurs données, interpréter les résultats et générer des figures à des fins de publication. Il abordera des notions de base en statistique, dont les analyses uni- et multivariées, les analyses descriptives, les distributions statistiques usuelles utilisées en biologie, ainsi que les tests d’hypothèses. Les exercices et travaux pratiques seront réalisés avec R et RStudio. Plusieurs séances seront consacrées à une introduction à l’utilisation du langage de programmation R avant d’aborder les notions de statistiques et d’analyse de données.\nLe module d’analyse d’images introduira les principes de base de l’analyse d’image, et portera plus particulièrement sur l’extraction d’information quantitative d’images de microscopie. Ce cours est destiné aux personnes ayant peu ou pas d’expérience en analyse d’image. Il sera très orienté sur la pratique : des cours magistraux de courte durée seront immédiatement suivis de sessions pratiques. Il aidera à la fois les microscopistes débutants et experts qui n’ont jamais eu de formation concrète en analyse d’image.\n \n\n",
            "homepage": "https://www.pasteur.fr/fr/introduction-data-analysis",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [
                "Biostatistics",
                "Statistical Tests",
                "Regression",
                "Dimension reduction",
                "Image analysis",
                "Descriptive statistics",
                "Multivariate analyses"
            ],
            "prerequisites": [
                "Master (M2 uniquement)"
            ],
            "openTo": "Internal personnel",
            "accessConditions": "\n\n \n\n\n",
            "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": "",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2019-01-13",
            "end_date": "2019-02-07",
            "venue": "",
            "city": "Institut Pasteur",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "id": 52,
            "name": "Bioinformatique pour le traitement de données de séquençage (NGS)",
            "shortName": "",
            "description": "Bioinformatics for NGS data analysis",
            "homepage": "http://cnrsformation.cnrs.fr/stage-17010-Bioinformatique-pour-le-traitement-de-d…",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/logo-cnrs_0_0.png",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2017-03-27",
            "end_date": "2017-03-31",
            "venue": "",
            "city": "Montpellier",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "id": 468,
            "name": "Linux for Dummies - April 2022",
            "shortName": "",
            "description": "This course offers an introduction to work with Linux. We will describe the Linux environment, the first linux commands so participants can start to utilize command-line tools and feel comfortable using bioinformatics softwares through a linux terminal",
            "homepage": "https://southgreenplatform.github.io/trainings//linux/",
            "is_draft": false,
            "costs": [
                "Free to academics"
            ],
            "topics": [],
            "keywords": [],
            "prerequisites": [
                "none"
            ],
            "openTo": "Internal personnel",
            "accessConditions": "Open to South Green close collaborators",
            "maxParticipants": 15,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/589/?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": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2022-04-04",
            "end_date": "2022-04-05",
            "venue": "",
            "city": "Montpellier",
            "country": "France",
            "geographical_range": "Local",
            "trainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/731/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/732/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/612/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/564/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/589/?format=api"
            ],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2022-03-07",
            "registration_closing": "2022-02-22",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 472,
            "name": "Workflow4metabolomics - 2021 session postponed to 2022, march",
            "shortName": "W4E 2021",
            "description": "Processing, statistical analysis, and annotation of metabolomics data is a complex task for experimenters since it involves many steps and requires a good knowledge of both the methodology and software tools. The Workflow4Metabolomics.org (W4M) online infrastructure provides a user-friendly and high-performance environment with advanced computational modules for building, running, and sharing complete workflows for LC-MS, GC-MS, FIA and NMR analysis. Such features are of major values for teaching computational metabolomics to experimenters, and previous courses using W4M since 2014 have been very successful.",
            "homepage": "https://workflow4metabolomics.org/w4e2021",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 20,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": null,
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2022-03-21",
            "end_date": "2022-03-25",
            "venue": "",
            "city": "Toulouse",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": "Onsite"
        },
        {
            "id": 517,
            "name": "Initiation à R / R Initiation - Session 1 - 2023",
            "shortName": "R - Init 2023-S1",
            "description": "Objectifs\r\n- Savoir utiliser les commandes de base pour la manipulation et la description de jeux de données\r\ntabulés\r\n- Être capable de suivre le module R avancé\r\nProgramme\r\n- Introduction au langage R sous l’environnement Rstudio.\r\n- Premières additions.\r\n- Importation/exportation de données tabulées.\r\n- Manipulation d’objets plus complexes : vector, factor, matrice, data.frame, list\r\n- Fonctions mathématiques : sum, min, max, mean, mediane, log2\r\n- Fonctions propres à R pour la manipulation de tableaux : subset, apply, table, match, %in%\r\n- Les graphiques : plot, barplot, boxplot, points, lines …",
            "homepage": "https://abims.sb-roscoff.fr/training/courses",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [
                "http://edamontology.org/topic_2269"
            ],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 16,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [
                {
                    "id": 4,
                    "name": "ABiMS",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/ABiMS/?format=api"
                }
            ],
            "logo_url": "https://abims.sb-roscoff.fr/sites/default/files/abims.png",
            "updated_at": "2023-02-22T08:41:32.349856Z",
            "type": "Training course",
            "start_date": "2023-05-31",
            "end_date": "2023-05-31",
            "venue": "",
            "city": "Roscoff",
            "country": "France",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2023-02-22",
            "registration_closing": "2023-04-30",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 555,
            "name": "Linux for Dummies 2023",
            "shortName": "",
            "description": "This course offers an introduction to work with Linux. We will describe the Linux environment, the first linux commands so participants can start to utilize command-line tools and feel comfortable using bioinformatics softwares through a linux terminal",
            "homepage": "https://southgreenplatform.github.io/trainings//linux/",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [],
            "prerequisites": [
                "none"
            ],
            "openTo": "Internal personnel",
            "accessConditions": "Open to South Green close collaborators",
            "maxParticipants": 17,
            "contacts": [],
            "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": "2023-12-04T15:37:57.131072Z",
            "type": "Training course",
            "start_date": "2023-04-06",
            "end_date": "2023-04-07",
            "venue": "",
            "city": "Montpellier",
            "country": "France",
            "geographical_range": "Local",
            "trainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/731/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/732/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/519/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/589/?format=api"
            ],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": "Onsite"
        },
        {
            "id": 398,
            "name": "Analyse de séquences",
            "shortName": "",
            "description": "\n\n\nLes biologistes sont régulièrement confrontés à des gènes (ou des protéines) de fonctions inconnues ou mal annotés. Dans ce contexte, maîtriser quelques techniques basiques d’analyse de séquences peut se révéler d’une aide précieuse. \nL’objectif de cette formation est de présenter, au travers de l’utilisation de sites web spécialisés, quelques grands principes sur l’analyse de séquence. L’ensemble de la formation combine exposés théoriques (fondements méthodologiques des programmes) et applications pratiques (mise en relation des notions théoriques avec les paramètres des programmes et les résultats obtenus) pour permettre une utilisation autonome et critique de quelques logiciels d’analyse des séquences biologiques.\n\n\n\n",
            "homepage": "https://c3bi.pasteur.fr/training-analyse-de-sequences/",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [
                "Sequence analysis",
                "Comparative genomics"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2018-03-18",
            "end_date": "2018-03-22",
            "venue": "",
            "city": "Institut Pasteur",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "id": 234,
            "name": "Metabarcode",
            "shortName": "",
            "description": "Metabarcode",
            "homepage": "http://tiny.ifremer.fr/formation-metabarcoding-2019",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 57,
                    "name": "IFREMER",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFREMER/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "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/abims_0.png",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2019-12-02",
            "end_date": "2019-12-06",
            "venue": "",
            "city": "Roscoff ",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "id": 246,
            "name": "Analyse primaire de données issues de  séquenceurs nouvelle génération sous Galaxy",
            "shortName": "",
            "description": "\nObjectifs\n\nConnaître les concepts et méthodes bioinformatiques utilisés pour l’analyse primaire de données issues de NGS. Application aux outils de mapping et d’assemblage.\nProgramme\nThéorie \n•Présentation des différents types de séquenceurs\n•Les grandes familles d’algorithmes de mapping de lectures courtes d’assemblage et les outils associés\nPratique\nAnalyse des données de séquençage d’un génome bactérien\n•Contrôle qualité\n•Assemblage de-novo\noNettoyage des données\noAssemblage\noVisualisation et statistiques sur l’assemblage\n•Comparaison à un génome de référence :\noMapping des lectures sur un génome proche\noVisualisation du mapping \n",
            "homepage": "http://migale.jouy.inra.fr/",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "NGS Data Analysis",
                "Galaxy",
                "NGS Sequencing Data Analysis"
            ],
            "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": "2017-03-13",
            "end_date": null,
            "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": 390,
            "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": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2019-05-20",
            "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": 46,
            "name": ": Analyse in silico de structures 3D de protéines. Modélisation par homologie de protéines homologues, sauvage et mutées, arrimage de ligands.",
            "shortName": "",
            "description": "",
            "homepage": "",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/150x150.png",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2017-03-22",
            "end_date": "2017-03-23",
            "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": 125,
            "name": "Assemblage de génome",
            "shortName": "",
            "description": "",
            "homepage": "",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/150x150.png",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2017-11-05",
            "end_date": null,
            "venue": "",
            "city": "Université Montpellier 1",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "id": 32,
            "name": "Formation MIGALE - Initiation à R",
            "shortName": "",
            "description": "Initiation à R",
            "homepage": "http://migale.jouy.inra.fr/",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [
                {
                    "id": 10,
                    "name": "MIGALE",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api"
                }
            ],
            "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/logo-inra_0_0_0.png",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2017-03-07",
            "end_date": null,
            "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": 317,
            "name": "Annotation and Analysis of Procaryotic genomes using the MicroScope platform",
            "shortName": "",
            "description": "",
            "homepage": "",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2017-09-24",
            "end_date": "2017-09-28",
            "venue": "",
            "city": "Université d'Evry Val d'Essonne",
            "country": "",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": null
        },
        {
            "id": 460,
            "name": "Molecular Phylogeny - Basic Training - session 2022",
            "shortName": "Phylogénie moléculaire - formation de base - session 2022",
            "description": "OBJECTIF\r\n- Savoir inférer un arbre phylogénétique et l'interpréter\r\n\r\nPRÉREQUIS\r\n- Savoir ce à quoi correspondent des séquences génétiques homologues\r\n- Avoir déjà utilisé les logiciels de base en bioinformatique\r\n- Connaître les notions de base en statistiques (tests, lois probabilistes usuelles, méthodes simples d'estimation de paramètres)\r\n- Avoir des notions de programmation\r\n\r\nPROGRAMME\r\n- Lignes de commandes Linux\r\n- Le format Newick\r\n- Dessin d'arbres\r\n- Alignements multiples et nettoyage\r\n- Modèles d'évolution\r\n- Choix de modèles\r\n- Définitions et propriétés des arbres\r\n- Méthodes de parcimonie\r\n- Méthodes de distance\r\n- Maximum de vraisemblance\r\n- Reconstruction phylogénétique Bayésienne\r\n- Bootstraps et autres supports de branches",
            "homepage": "https://cnrsformation.cnrs.fr/phylogenie-moleculaire-formation-de-base?axe=146",
            "is_draft": false,
            "costs": [
                "1200 €"
            ],
            "topics": [
                "http://edamontology.org/topic_0084",
                "http://edamontology.org/topic_3293",
                "http://edamontology.org/topic_3299"
            ],
            "keywords": [
                "Phylogeny",
                "Evolution and Phylogeny",
                "Molecular evolution",
                "Phylogenetics"
            ],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 12,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/241/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 1,
                    "name": "CNRS formation entreprises",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS%20formation%20entreprises/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 7,
                    "name": "ATGC",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/ATGC/?format=api"
                }
            ],
            "logo_url": "http://www.atgc-montpellier.fr/pictures/ATGClogo.svg",
            "updated_at": "2023-05-17T10:17:18.992615Z",
            "type": "Training course",
            "start_date": "2022-03-30",
            "end_date": "2022-04-01",
            "venue": "",
            "city": "Montpellier",
            "country": "France",
            "geographical_range": "National",
            "trainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/241/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/736/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/282/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/480/?format=api"
            ],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": "Onsite"
        }
    ]
}