Training List
Handles creating, reading and updating training events.
GET /api/training/?format=api&offset=380&ordering=hoursTotal
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Cette édition de l’école aborde les nouveaux enjeux technologiques: elle s’articulera autour des différentes étapes qui mèneront à l’obtention d’un génome annoté à partir de données “long reads” et “hybride” : contrôle qualité des données, assemblage, scaffolding, polishing, annotation structurale et fonctionnelle (en session parallèle pour les procaryotes et les eucaryotes). \r\nL’école vise à introduire les concepts, à manipuler les outils informatiques et à en interpréter les résultats. Elle est basée sur une alternance de courtes sessions théoriques et d’ateliers pratiques. Les participants bénéficieront d’un tutorat personnalisé pour élaborer leur plan d’analyse, et effectuer les premières étapes de traitement de leurs propres données ou de celles de leur équipe.\r\nAttention : le tutorat n'a pas pour vocation de réaliser l’analyse complète des données des participants.\r\nPublic visé\r\nCette formation est destinée aux biologistes (ingénieurs, doctorants, chercheurs, enseignants-chercheurs, praticiens…) confrontés à l’analyse de données NGS, et qui ne disposent pas des compétences bioinformatiques suffisantes.", "homepage": "https://www.france-bioinformatique.fr/formation/ebaii2022_genomique/", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 40, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "https://cvt.aviesan.fr/wp-content/themes/cvtaviesan/images/logo_cvt.png", "updated_at": "2024-12-05T09:11:55.721141Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "Initiation au traitement des données de génomique obtenues par séquençage à haut débit\r\nAssemblage et annotation de novo de génomes\r\nL’école vise à introduire les concepts, à manipuler les outils informatiques et à en interpréter les résultats. Elle est basée sur une alternance de courtes sessions théoriques et d’ateliers pratiques. Les participants bénéficieront d’un tutorat personnalisé pour élaborer leur plan d’analyse, et effectuer les premières étapes de traitement de leurs propres données ou de celles de leur équipe.", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": true, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/463/?format=api" ] }, { "id": 399, "name": "Interactive Online Companionship - R formation 2026", "shortName": "IOC - R", "description": "Introduction R for data science (November 2025 to January 2026) – 10 sessions of 3 hours – €800\r\n\r\nThis course covers the basics of R, data organization and filtering, basic statistics, and creation of publication-ready graphics. The goal is to make you self-sufficient in using R for your own analyses.\r\n\r\n\r\nKey Highlights:\r\n\r\nSmall group sessions for interactive and personalized learning.\r\nHybrid mode with 3 in-person sessions and 7 remote sessions.\r\nHands-on practice with an individualized project presented at the end of each training course.\r\nTailored feedback on your own data.\r\nLimited spots available, registration is now open.", "homepage": "https://inforbio.github.io/ioc_r_scrnaseq.html", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [ "none" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 16, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/809/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 18, "name": "IBiSA", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IBiSA/?format=api" }, { "id": 19, "name": "Sorbonne Université", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Sorbonne%20Universit%C3%A9/?format=api" } ], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "https://github.com/InforBio/InforBio.github.io/blob/main/images/logoInforBio_fond_blanc.png?raw=true", "updated_at": "2025-09-11T14:23:22.054252Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 30, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [] }, { "id": 210, "name": "Python avance", "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/339/?format=api" ] }, { "id": 212, "name": "NGS sous 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/341/?format=api" ] }, { "id": 213, "name": "Analyse bioinformatique de données RNA-Seq sous Galaxy", "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": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/342/?format=api" ] }, { "id": 415, "name": "Interactive Online Companionship - R formation 2027", "shortName": "IOC - R", "description": "Introduction to R for data analysis (October to December 2026) – 10 Zoom sessions of 3 hours – €800\r\n\r\nThis course covers the basics of R, data organization and filtering, basic statistics, and creation of publication-ready graphics. The goal is to make you self-sufficient in using R for your own analyses.\r\n\r\n\r\nKey Highlights:\r\n\r\n\r\nSmall group sessions for interactive and personalized learning.\r\nHands-on practice with an individualized project presented at the end of each training course.\r\nTailored feedback on your own data.\r\nLimited spots available, registration is now open.", "homepage": "https://inforbio.github.io/content/ioc_r_scrnaseq.html", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [ "none" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 16, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/809/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 18, "name": "IBiSA", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IBiSA/?format=api" }, { "id": 19, "name": "Sorbonne Université", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Sorbonne%20Universit%C3%A9/?format=api" } ], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "https://github.com/InforBio/InforBio.github.io/blob/main/images/logoInforBio_fond_blanc.png?raw=true", "updated_at": "2026-07-10T10:29:07.689380Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 30, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [] }, { "id": 156, "name": "Python for biology", "shortName": "", "description": "", "homepage": "https://cnrsformation.cnrs.fr/stage-17266-Python-pour-la-biologie.html", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "Sequence Algorithm", "Python Language", "Sequence analysis" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "CNRS fee-based training\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [] }, { "id": 251, "name": "Survival Guide for Perl applied to Bioinformatics", "shortName": "", "description": " \n\n\t\t\tThis course provides an introduction to programming using Perl and at the end of the training, participants could write simple Perl programs to handle biological data and to undertstand more complex Perl programs written by others.\n\t\t\t\nPrerequisites\nBasic knowledge of Linux (Linux for dummies required)\n\nProgram\nPerl data structures (scalar,arrays, hashes)\nStructure control ( loops)\nBasic functions, and operators.\nWriting and running your own program\nPassing options and files to his own script.\nRegular expressions\n\n\nLearning objectives\nWriting simple Perl programs to analyze data files\nUnderstanding Perl programs written by others\nUsing Perl basic syntax and modules in their own script\nRun programs from their script, parsing and extracting data from data files\n\n\nInstructors\n\n\nChristine Tranchant - christine.tranchant@ird.fr\nFrançois Sabot - francois.sabot@ird.fr\nNdomassi tando - ndomassi.tando@ird.fr\n\n", "homepage": "https://southgreenplatform.github.io/trainings//perl/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 12, "name": "LAPSE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/LAPSE/?format=api" }, { "id": 13, "name": "Formation permanente IRD", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Formation%20permanente%20IRD/?format=api" } ], "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/383/?format=api" ] }, { "id": 347, "name": "Introduction to Microbial Comparative Genomics", "shortName": "", "description": "This course offers an introduction to microbial genomics analysis.\r\nIt includes 5 issues: assembly, genome annotation, circos visualization, pan-genome construction, pan-GWAS.", "homepage": "https://southgreenplatform.github.io/trainings//bacterialGenomics/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [ "genomics", "Structural genomics", "Genome analysis" ], "prerequisites": [ "Linux - Basic Knowledge" ], "openTo": "Internal personnel", "accessConditions": "Open to South Green close collaborators", "maxParticipants": 20, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/174/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/771/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/772/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/773/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 24, "name": "South Green", "url": "https://catalogue.france-bioinformatique.fr/api/team/South%20Green/?format=api" } ], "logo_url": "https://southgreenplatform.github.io/trainings//images/southgreenlong.png", "updated_at": "2023-12-04T14:54:55.468140Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Intermediate", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 5, "hoursHandsOn": 5, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/558/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/561/?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. It is intended for new users, with the goals of improving user productivity and minimizing the obstacles. The HPC Southgreen cluster are presented, together with the tools to be able to use it. Module load notion, interactive usage and batch jobs submittions will be developped.\nPrerequisites\nLinux Basics\n\nProgram\nIntroduction to HPCs architecture\nDiscover Sun grid Engine (SGE)\nData Management on clusters\nInteractive Usage\nSubmit batch jobs\n\n\nLearning objectives\nAfter this course, participants should be able to:\nUse the HPC resources interactively\nManage data copies\nUse module load\nsubmit batch jobs\n\n\nInstructors\n\n\nNdomassi Tando (NT) - ndomassi.tando@ird.fr\nBertrand Pitollat(BP) - bertrand.pitollat@cirad.fr\nAlexis Dereeper (AD) - alexis.dereeper@ird.fr\n\n", "homepage": "https://southgreenplatform.github.io/trainings//HPC/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "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": "", "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/384/?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_3571", "http://edamontology.org/topic_3420", "http://edamontology.org/topic_0219" ], "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": 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": 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" ] } ] }
