Training List
Handles creating, reading and updating training events.
GET /api/training/?format=api&offset=160&ordering=trainingMaterials
{ "count": 370, "next": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=180&ordering=trainingMaterials", "previous": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=140&ordering=trainingMaterials", "results": [ { "id": 32, "name": "Traitements bioinfo RNA-seq ", "shortName": "", "description": "\nObjectifs\n\nConnaitre les concepts et méthodes bioinformatiques utilisées pour l’analyse de données RNA-Seq eucaryote et procaryote.\n\n \nProgramme\n\nThéorie\nBases biologiques des études d’expression\nSéquençage NGS et RNA-Seq, présentation des différents types de séquenceurs\nMéthodes d’alignements spécifiques au RNA-Seq\nReconstruction de transcrits\nAssemblage de novo de transcriptomes\nQuantification\n \nPratique\nTP sur des données de type euraryote\nContrôle qualité\nNettoyage des données\nAlignement sur un génome de référence et épissage\nVisualisation de l’alignement\nDécouverte de nouveaux transcrits\nObtention d’un tableau de comptage\n \nLien avec d'autres modules \nL'analyse statistique des résultats du type d’analyses bioinformatiques effectuées dans ce module est traitée dans le module 16 [Stats & RNA-seq.\n", "homepage": "http://migale.jouy.inra.fr/", "is_draft": false, "costs": [], "topics": [], "keywords": [ "NGS Data Analysis", "Analysis of RNAseq data", "Galaxy" ], "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": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/254/?format=api" ] }, { "id": 358, "name": "Traitement bioinformatique et analyse différentielle de données d’expression RNA-seq sous Galaxy", "shortName": "Analyse données RNA-seq sous Galaxy", "description": "Objectifs pédagogiques\r\nA l’issue de cette formation, vous serez capable, dans le cadre d’une analyse de données RNA- seq avec génome de référence et plan d’expérience simple :\r\n* de connaître le vocabulaire et les concepts bioinformatiques et biostatistiques ;\r\n* de savoir enchaîner de façon pertinente un ensemble d’outils bioinformatiques et biostatistiques dans l’environnement Galaxy ;\r\n* de comprendre le matériel et méthodes d’un article du domaine ;\r\n* d’évaluer la pertinence d’une analyse RNA-seq en identifiant les éléments clefs et comprendre les particularités liées à la nature des données.\r\n\r\nProgramme\r\nBioinformatique :\r\n* Obtenir des données de qualité : nettoyage, filtrage, qualité\r\n* Aligner les lectures sur un génome de référence\r\n* Détecter de nouveaux transcrits\r\n* Quantifier l’expression des gènes\r\n* Préparer et déployer unensemble d’analyses sur plusieurs échantillons\r\n\r\nBiostatistique :\r\n* Construire un plan d’expérience simple\r\n* Normaliser les données de comptage\r\n* Identifier les gènes différentiellements exprimés\r\n* Se sensibiliser aux tests multiples\r\n\r\nAnalyse de protocoles Bioinformatique et Biostatistiques issus de la littérature", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_3308", "http://edamontology.org/topic_0203", "http://edamontology.org/topic_0102", "http://edamontology.org/topic_3170" ], "keywords": [ "Gene expression differential analysis", "RNA-seq", "Transcriptomics" ], "prerequisites": [ "Galaxy - Basic usage" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/769/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" }, { "id": 88, "name": "BioinfOmics", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=api" } ], "organisedByTeams": [ { "id": 10, "name": "MIGALE", "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api" } ], "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png", "updated_at": "2025-01-23T15:20:05.977558Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "A l’issue de cette formation, vous serez capable, dans le cadre d’une analyse de données RNA- seq avec génome de référence et plan d’expérience simple :\r\n\r\n* de connaître le vocabulaire et les concepts bioinformatiques et biostatistiques ;\r\n* de savoir enchaîner de façon pertinente un ensemble d’outils bioinformatiques et biostatistiques dans l’environnement Galaxy ;\r\n* de comprendre le matériel et méthodes d’un article du domaine ;\r\n* d’évaluer la pertinence d’une analyse RNA-seq en identifiant les éléments clefs et comprendre les particularités liées à la nature des données.", "hoursPresentations": 6, "hoursHandsOn": 12, "hoursTotal": 18, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/583/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/690/?format=api" ] }, { "id": 310, "name": "Diplôme Universitaire en Bioinformatique Intégrative / University Diploma in Integrative Bioinformatics", "shortName": "DUBii", "description": "La bioinformatique est devenue une compétence incontournable pour l'analyse de données de natures diverses : génomes, transcriptomes, protéomes, métabolomes, structures macromoléculaires, réseaux d'interactions. L'appropriation par les biologistes des méthodes et des outils de biostatistique et bioinformatique intégrative est un enjeu majeur pour la montée en compétence des équipes de recherche et des plateformes de service.\r\n\r\nL'université de Paris propose en partenariat avec l'Institut Français de Bioinformatique (IFB) la troisième édition du Diplôme Universitaire en Bioinformatique intégrative (DUBii). Cette formation s’adresse en priorité à des biologistes ou à des médecins souhaitant évoluer en compétences ou envisager une reconversion professionnelle et ayant déjà acquis des compétences (formation courte, autoapprentissage, expérience de terrain) en informatique ou bioinformatique / biostatistique (environnement Unix, Python ou R ou autre langage de programmation). \r\n\r\nLe DUBii fournira une formation théorique et pratique, complétée par une période d'immersion de 20 jours sur l'une des plateformes régionales de l'IFB, qui mobilisera, dans le cadre d'un projet tutoré, l'ensemble des méthodes et outils appris durant les cours pour réaliser un projet personnel de bioinformatique intégrative. Ce projet combinera des données propres à chaque participant produites dans son laboratoire (principe BYOD : “Bring Your Own Data”) ou collectées à partir de bases de données publiques. \r\n\r\n Cette formation se déroulera pendant 8 semaines réparties entre :\r\nLes cours : 4 semaines à raison de 4 jours/semaine en présentiel (96h)\r\nLe projet tutoré : 20 jours sur l'une des plateformes bioinformatique de l'IFB", "homepage": "https://odf.u-paris.fr/fr/offre-de-formation/diplome-d-universite-1/sciences-technologies-sante-STS/du-bioinformatique-integrative-dubii-DUSBIIN_118.html#programContent26c9751a-f434-491d-abe2-1151370851dc-1", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 20, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-09-15T12:11:46.140196Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Advanced", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": true, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/466/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/414/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/400/?format=api" ] }, { "id": 326, "name": "Principes FAIR pour la gestion des données d'une plateforme IBISA", "shortName": "FAIR data IBISA", "description": "Cette session de formation a pour but de former des responsables et membres de plateformes IBISA aux principes FAIR de gestion des données .\r\nLa formation se déroule sur 2 jours avec une alternance de présentation générales, et techniques, témoignages et ateliers pratiques pour travailler sur différents sujets : PGD de structure, métadonnées, sécurité des données,...etc.\r\nA la fin de cette formation auront \r\n- acquis des connaissances théoriques et pratiques sur la gestion selon les principes FAIR de leurs données dans le contexte de la Science Ouverte\r\n- identifié des pistes d'amélioration pour la gestion des données de leur plateforme.", "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=16", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3420", "http://edamontology.org/topic_0219", "http://edamontology.org/topic_3571" ], "keywords": [ "Données" ], "prerequisites": [ "Biologists" ], "openTo": "Internal personnel", "accessConditions": "private for IBISA platform staff", "maxParticipants": 30, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/162/?format=api", "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://moodle.france-bioinformatique.fr/pluginfile.php/1/core_admin/logocompact/300x300/1654772049/IFB-HAUT-COULEUR-PETIT.png", "updated_at": "2023-08-22T14:25:08.237204Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [], "difficultyLevel": "Intermediate", "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/627/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/513/?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": 278, "name": "Linux - Initiation / Linux for Beginners", "shortName": "Linux Init", "description": "Objectifs :\r\n- Être capable de se connecter à une machine Linux\r\n- Être capable de transférer des fichiers à partir de/vers une machine Linux\r\n- Être capable de naviguer dans le système de fichiers\r\n- Être capable d’examiner le contenu d’un fichier et de gérer l’espace disque\r\n- Être capable de gérer les droits d’accès aux répertoires et aux fichiers.\r\n- Être capable de gérer le lancement, l’interruption et l’arrêt de processus", "homepage": "https://abims.sb-roscoff.fr/module/linux_init", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3316" ], "keywords": [ "Linux", "Operating systems" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 16, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 65, "name": "SBR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/SBR/?format=api" } ], "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": "2025-02-21T08:34:15.576596Z", "audienceTypes": [ "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/712/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/623/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/424/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/499/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/520/?format=api" ] }, { "id": 214, "name": "Analyse statistique de données RNA-Seq - Recherche des régions d'intérêt différentiellement exprimées (R, RStudio et Galaxy)", "shortName": "", "description": "", "homepage": "", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/343/?format=api" ] }, { "id": 289, "name": "Introduction to galaxy: looking for variants in prokaryotes", "shortName": "Introduction to galaxy", "description": "This course will focus on the technical aspects of using a galaxy server. Accessible without any prerequisite in computer science, it will allow you to master the different fundamental tools of galaxy and will open the doors of bioinformatics analysis for your different projects.\r\nDifferent questions will be addressed through an example of variants analysis in a prokaryotic organism. At the end of this course, on any accessible galaxy instance, you will be able to:\r\n- upload your data\r\n- map them on a reference genome\r\n- find the variants (SNPs) and analyze the results\r\n- generate, manipulate and share your workflows, data and histories\r\n- find the right tools for other analyses and use them in your own project.\r\n\r\nUnless all participants speak French, the course will be taught in English.", "homepage": "https://pliniuscursus.univ-amu.fr/formation/galaxy-platform/", "is_draft": false, "costs": [ "Free to academics" ], "topics": [ "http://edamontology.org/topic_0091", "http://edamontology.org/topic_0622" ], "keywords": [], "prerequisites": [ "Master" ], "openTo": "Internal personnel", "accessConditions": "The first sessions are only available for IM2B students.", "maxParticipants": 12, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 23, "name": "PACA-Bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/team/PACA-Bioinfo/?format=api" } ], "logo_url": null, "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [ "Graduate" ], "audienceRoles": [ "Biologists" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 1, "hoursHandsOn": 5, "hoursTotal": 6, "personalised": null, "event_set": [] }, { "id": 279, "name": "Annotation and analysis of prokaryotic genomes using the MicroScope platform", "shortName": "MicroScope training", "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": [], "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://ressources.france-bioinformatique.fr/sites/default/files/plateforme-logo/MicroScope_logo.png", "updated_at": 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