Training List
Handles creating, reading and updating training events.
GET /api/training/?format=api&offset=320&ordering=description
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Les énormes avantages de Linux sont sa gratuité, son évolution constante et l'inexistence des virus. Ce stage est une initiation à l'utilisation du système d'exploitation Linux et des lignes de commande pour les non informaticiens, ainsi qu'une initiation à l'écriture et l'emploi de scripts (petits programmes) pour faciliter l'analyse de données. Il s'agit pour des débutants ou quasi débutants Linux d'utiliser le système et d'acquérir l'autonomie nécessaire pour résoudre les besoins communs simples d'analyse par la combinaison des méthodes à travers des scripts.\n \n", "homepage": "http://cnrsformation.cnrs.fr/stage-17285-Linux-et-script-pour-la-bioinformatique…", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Linux" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "S'acquitter des frais d'inscription, notions de base en informatique : fichiers, répertoires, etc.\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/276/?format=api" ] }, { "id": 78, "name": "Formation des post-doctorants", "shortName": "", "description": "Pour la recherche et l’annotation des IS.\n", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Metagenomics" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Gratuit\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [] }, { "id": 396, "name": "Metagenomics and Metatranscriptomics initiation", "shortName": "Metagenomics", "description": "Présentation de la formation\r\nA la demande du laboratoire d'Ecologie Microbienne de Lyon, l'équipe Formation de l'IFB organise une session de formation de deux jours sous Galaxy pour l'analyse de données de métagénomique et métatranscriptomique.\r\n\r\nObjectifs pédagogiques\r\nA la fin de cette formation, les participants auront \r\n\r\n- acquis des connaissances théoriques et pratiques sur les méthodes et objectifs d'une analyse en métagénomique et métatranscriptomique\r\n\r\n - réalisé une analyse de données de données métataxonomique, métagénomique shotgun et métatranscriptomique sous l'environnement Galaxy et sur des données fournies par l'équipe pédagogique\r\n\r\n- choisi et initié une analyse sur un jeu de données de leur choix en bénéficiant de l'encadrement de l'équipe pédagogique (Bring Your Own Data sessions)", "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=40", "is_draft": false, "costs": [], "topics": [ "http://edamontology.org/topic_3941", "http://edamontology.org/topic_3174", "http://edamontology.org/topic_0637" ], "keywords": [], "prerequisites": [ "Galaxy - Basic usage" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=api" ], "elixirPlatforms": [ { "id": 1, "name": "Training", "url": "https://catalogue.france-bioinformatique.fr/api/elixirplatform/Training/?format=api" } ], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 29, "name": "IFB Core", "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api" } ], "logo_url": "https://moodle.france-bioinformatique.fr/pluginfile.php/1/core_admin/logocompact/300x300/1654772049/IFB-HAUT-COULEUR-PETIT.png", "updated_at": "2025-07-16T11:33:24.922633Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Life scientists" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/726/?format=api" ] }, { "id": 274, "name": "Principes FAIR pour la gestion des données de recherche en sciences de la vie", "shortName": "FAIR data", "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://ifb-elixirfr.github.io/IFB-FAIR-data-training/", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3571", "http://edamontology.org/topic_3420", "http://edamontology.org/topic_0219" ], "keywords": [ "Données" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "public", "maxParticipants": null, "contacts": [], "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": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "A la fin de cette formation, les participants connaîtront et pourront mettre en œuvre les principes de la science ouverte pour gérer leurs jeux de données dans un projet :\r\n- Les principes fondamentaux de l’Open Data en biologie et santé, y compris dans ses aspects juridiques ;\r\n- Les bonnes pratiques et outils de gestion des données d’un projet en bioinformatique, en lien avec les ressources de l’infrastructure IFB ;\r\n- Le PGD : séances théoriques et pratiques de construction d’un PGD sur des exemples de jeux de données omiques ;\r\n- Le choix des métadonnées : panorama des ressources existantes pour choisir des métadonnées et mise en pratique pour annoter des jeux de données omiques en vue de la publication des données dans une banque internationale ou un dataverse institutionnel.", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/418/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/404/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/465/?format=api" ] }, { "id": 114, "name": "Initiation à la plateforme web GALAXY : L’analyse de données biologiques pour tous !", "shortName": "", "description": "Présentation\nL’analyse des données biologiques nécessite de plus en plus l’utilisation de ressources et d’environnements informatiques difficiles à maîtriser pour le biologiste.\nCette formation présente et décompose l’utilisation de l’environnement Galaxy.\nEn se basant sur une plateforme web, comme c’est la cas avec Mobyle, cet environnement propose une nouvelle approche pour rendre l’analyse biologique plus aisée pour les non- informaticiens.\nObjectifs \nPrise en main de l’environnement Galaxy et des différentes fonctionnalités proposées.\nOrganisation pédagogique \nLa formation comprendra un exposé théorique avec démonstrations pratiques complété par une rapide application sur la manipulation de données de régions génomiques.\nPublic visé\nChercheurs et ingénieurs, biologistes et bio-informaticiens possédant des compétences en développement bio-informatique souhaitant intégrer des outils dans le portail web Galaxy.\nPré-requis\nAucun.\n", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Galaxy" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Pas de pré-requis.\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [] }, { "id": 316, "name": "IMGT® standards, databases, tools and web resources", "shortName": "IMGT workshop", "description": "Presentation of IMGT® patterns and resources for the study of genes, expressed repertoires and three-dimensional structures of immunoglobulins (antibodies) and T cell receptors.", "homepage": "https://www.imgt.org/", "is_draft": false, "costs": [], "topics": [ "http://edamontology.org/topic_3948", "http://edamontology.org/topic_3930" ], "keywords": [ "Protein structures", "Immune repertoire analysis", "Monoclonal antibody", "Immunology" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/339/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": null, "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [ "Researchers", "Biologists", "Bioinformaticians" ], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": 6, "personalised": true, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/485/?format=api" ] }, { "id": 283, "name": "Presentation of IMGT® standards, databases, tools and web resources", "shortName": "IMGT", "description": "Presentation of IMGT® patterns and resources for the study of genes, expressed repertoires and three-dimensional structures of immunoglobulins (antibodies) and T cell receptors.", "homepage": 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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/", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 20, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": null, "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/472/?format=api" ] }, { "id": 391, "name": "Soumission de données et métadonnées à EMBL-EBI", "shortName": "FAIR Data Geno", "description": "Processus et outils mis en place dans le cadre des projets AgroDiv et BReIF pour soumettre des données dans les archives EMBL-EBI associées à des descriptions riches des échantillons séquencés dans BioSamples.", "homepage": "", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3366", "http://edamontology.org/topic_0219", "http://edamontology.org/topic_0625", "http://edamontology.org/topic_0091", "http://edamontology.org/topic_0780" ], "keywords": [ "Données" ], "prerequisites": [ "none" ], "openTo": "Everyone", "accessConditions": "Public", "maxParticipants": null, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/813/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/3/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 22, "name": "BReIF", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/BReIF/?format=api" } ], "organisedByOrganisations": [ { "id": 39, "name": "URGI - US1164", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/URGI%20-%20US1164/?format=api" }, { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" } ], "organisedByTeams": [ { "id": 26, "name": "URGI", "url": "https://catalogue.france-bioinformatique.fr/api/team/URGI/?format=api" } ], "logo_url": "https://urgi.versailles.inra.fr/extension/inra/design/urgi/images/logoURGI_res72_2-82X1-98.png", "updated_at": "2025-09-12T13:00:03.352886Z", "audienceTypes": [ "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "Novice", "trainingMaterials": [ { "id": 147, "name": "Data-brokering script", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Data-brokering%20script/?format=api" } ], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": 2, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/678/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/738/?format=api" ] }, { "id": 322, "name": "Introduction to Structural variant detection analyses", "shortName": "", "description": "Program\r\n\r\n* Handling mapping tools suitable for ILLUMINA and ONT data (bwa, minimap2)\r\n* SNP detection from mapping of short reads against a reference genome: SNP calling, filters and SNP annotation. Examples of possible studies based on SNP arrays\r\n* Detecting Structural Variations (SV) in short and long reads (breakdancer, sniffle)\r\n* SV detection from genome assembly and comparison (minimap2, nucmer, assemblytics, siry)", "homepage": "https://southgreenplatform.github.io/trainings//sv/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [ "Linux and knowledge of NGS formats" ], "openTo": "Internal personnel", "accessConditions": "Open to South Green close collaborators", "maxParticipants": null, "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": "2023-01-24T10:41:28.470404Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 14, "hoursHandsOn": 14, "hoursTotal": 28, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/564/?format=api" ] }, { "id": 334, "name": "Summer School Multi-omics Data Analysis and Integration", "shortName": "", "description": "Researchers often have access to or generate multiple omics data (RNAseq, metabolomics, lipidomics, proteomics…) within a single study. Although each omics data is usually analyzed individually, combining complementary data can yield a better understanding of the mechanisms involved in biological processes. Several integrative approaches are now available to combine such data, coming essentially from two families of methods, namely multivariate statistical analyses and network-based approaches. During this summer school both methodologies will be covered, introducing RGCCA and mixOmics for multivariate analyses and WGCNA and SNF for network-based strategies. To get meaningful biological information, the interpretation of statistical results needs to be done contextualizing them in the available biological knowledge. To address this major step we need to be able to access and interrogate databases. 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