Training List
Handles creating, reading and updating training events.
GET /api/training/?format=api&offset=120&ordering=hoursPresentations
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"personalised": null, "event_set": [] }, { "id": 103, "name": "Biostatistique avec R", "shortName": "", "description": "Apprendre à se servir du logiciel R dans le contexte de l’analyse de données biologiques tout en consolidant ses connaissances de base en biostatistique\n", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Programming Languages & Computer Sciences", "R Language" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Personnel IHU-A-ICM, 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": 104, "name": "Initiation à 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"topics": [], "keywords": [ "Galaxy" ], "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": [] }, { "id": 30, "name": "Python avancé", "shortName": "", "description": "\nObjectifs\n\nEtre autonome pour des manipulations simples visant à extraire, reformater des données issues de fichiers texte.\n \n\n \n \n \n \nProgramme\n\n- Expressions régulières\n- Gestion des erreurs\n- Biopython\n- Réalisation de programmes simples\n", "homepage": "http://migale.jouy.inra.fr/", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Programming Languages & Computer Sciences", "Python Language" ], "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/253/?format=api" ] }, { "id": 107, "name": "Analyse de gènes différentiellement à partir de données RNAseq et sous l'environnement Galaxy", "shortName": "", "description": "La formation s’adresse à un public de biologistes et de bio-informaticiens désireux de faire leur premiers pas sous Galaxy et de maîtriser l’analyse d’expression différentielle de gènes à partir de données RNAseq.\nL'analyse d’expression différentielle des gènes entre deux conditions expérimentales est réalisée avec la suite d’outils DESeq que nous avons interfacé pour l’environnement Galaxy. Cette formation alterne des présentations des méthodes, concepts et outils du RNAseq avec des tutoriels pratiques durant lesquels vous utiliserez les outils bio-informatiques du serveur Galaxy de la plate-forme eBio.\n", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [ "NGS Data Analysis", "Analysis of RNAseq data", "Galaxy" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "étudiants et chercheurs de l'I2BC qui accueille la plate-forme eBio.\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": 69, "name": "Methods for phylogenetics trees construction", "shortName": "", "description": "This training session is organized by the bios4Biol CATI and aims at training participants to construct and interpret phylogenetic trees.\nYou will discover how to choose an evolutionary model and a phylogenetic inference method (among distance, parsimony, maximum likelihood and Bayesian methods) and how to evaluate the robustness of a tree using bootstrap.\n", "homepage": "http://bioinfo.genotoul.fr/index.php/events/methods-for-phylogenetic-trees-const…", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Phylogeny", "Evolution and Phylogeny", "Molecular evolution", "Genes and genomes" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "You need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private.\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [] }, { "id": 348, "name": "Advanced HPC Trainings", "shortName": "", "description": "This course continues the explanation on how to work on HPC Southgreen clusters. It is intended for experienced users, with the goals of improving LC user productivity and minimizing the obstacles. New notions and tools are presented such as job arrays, basic softwares installation,module environment and singularity. All these notions will be developped.", "homepage": "https://southgreenplatform.github.io/trainings//Advanced_HPC/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [ "HPC", "SLURM" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Oprn to South Green close collaborators", "maxParticipants": 20, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/589/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 85, "name": "IRD", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IRD/?format=api" } ], "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": "2023-12-04T14:46:58.108350Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/557/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/565/?format=api" ] }, { "id": 315, "name": "Using sed and awk to modify large large text files", "shortName": "", "description": "Many analysis generate large result text files which have to be checked, merged, split, reduced. Several tools have been developed and are available on Unix to do this, including sed and AWK. During this course you will be trained to process large files with sed and AWK. Sed is tool enabling to select and process lines. You can easily insert, delete, modify, append lines to very large files with millions of lines. AWK will enable to perform more fine tuned file modifications based on columns. It includes also more mathematical and string functions. The course is based mainly on exercises with small sections presenting concepts and commands.", "homepage": "https://bioinfo.genotoul.fr/index.php/events/modify-and-extract-information-from-large-text-files-day-2-3/", "is_draft": false, "costs": [ "Non-academic: 550€ + 20% taxes (TVA)", "Academic but non-INRAE: 170 € + 20% taxes (TVA)", "For INRAE's staff: 150 € no VAT charged;" ], "topics": [ "http://edamontology.org/topic_3316" ], "keywords": [], "prerequisites": [ "Linux/Unix" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/338/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 37, "name": "MIAT - Mathématiques et Informatique Appliquées de Toulouse", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/MIAT%20-%20Math%C3%A9matiques%20et%20Informatique%20Appliqu%C3%A9es%20de%20Toulouse/?format=api" } ], "organisedByTeams": [ { "id": 22, "name": "Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=api" } ], "logo_url": "https://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png", "updated_at": "2025-12-09T10:31:46.651968Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Biologists" ], "difficultyLevel": "Novice", "trainingMaterials": [ { "id": 146, "name": "Processing large files with sed awk - Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Processing%20large%20files%20with%20sed%20awk%20%20-%20Genotoul-bioinfo/?format=api" } ], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/478/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/479/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/611/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/631/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/669/?format=api" ] }, { "id": 68, "name": "Sequences alignment and phylogeny ", "shortName": "", "description": "This training session is organized by the bios4Biol CATI and the genotoul bioinfo platform and aims at initiating participants to molecular phylogenetics studies.\nYou will discover how to build a sequence dataset, to align sequences, to edit and refine the resulting alignment.\n", "homepage": "http://bioinfo.genotoul.fr/index.php/events/sequences-alignment-phylogeny/", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "You need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private.\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [] }, { "id": 272, "name": "Molecular Phylogeny - Level 2", "shortName": "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": "", "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": "https://ressources.france-bioinformatique.fr/sites/default/files/ATGClogox120_0.png", "updated_at": "2023-01-24T10:49:17.913427Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/474/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/511/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/402/?format=api" ] }, { "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. 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"https://labgem.genoscope.cns.fr/wp-content/uploads/2019/06/MicroScope_logo-300x210.png", "updated_at": "2025-12-09T09:10:02.012461Z", "audienceTypes": [ "Undergraduate", "Graduate", "Professional (continued)" ], "audienceRoles": [ "Researchers", "Life scientists", "Biologists", "Curators" ], "difficultyLevel": "Intermediate", "trainingMaterials": [], "learningOutcomes": "Annotation and comparative analysis of bacterial genomes:\r\n\r\n- acquire theoretical and practical knowledge of genome annotation tools (structural and functional annotation, metabolic networks annotation)\r\n- interpret the results of functional annotation tools\r\nperform various comparative analyses : conserved synteny analyses, pan-genome, phylogenetic and metabolic profiles.\r\n- analyse the results of metabolic networks prediction tools and look for candidate genes for enzyme activities.\r\n- use the tools to analyse the genome(s) of interest of participants", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": 31, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/439/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/506/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/436/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/507/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/577/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/576/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/659/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/658/?format=api" ] }, { "id": 111, "name": "Spectrométrie de masse, analyse protéomique et interprétation des données", "shortName": "", "description": "", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Autre" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], 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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": 252, "name": "Introduction to High-performance computing", "shortName": "", "description": "This course offers an introduction on how to work with HPC Southgreen clusters. 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Découvrir les bonnes pratiques dans Galaxy. 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