Training List
Handles creating, reading and updating training events.
GET /api/training/?format=api&offset=100&ordering=organisedByTeams
{ "count": 391, "next": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=120&ordering=organisedByTeams", "previous": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=80&ordering=organisedByTeams", "results": [ { "id": 255, "name": "Initiation to NGS Workflow Managers developed within the South Green Platform: Galaxy and TOGGLe", "shortName": "", "description": "This course introduces the 2 commonly used workflow managers in the South Green Bioformatics platform, both in a theoretical and practical way, with hands-on practice sessions. It will help you to quickly develop and run your own pipelines using these tools through an graphical user or command-line interface.\n \nPrerequisites\nPrior knowledge of workflow managers not necessary Basic knowledge of Linux (Linux for dummies required) - TOGGLe practical\n\nProgram\nWhy using a workflow manager to analyse data ?\nHow to perform an analysis ?\nHow to create your own workflow ?\nHow to execute it?\nUse case\n\n\nLearning objectives\nExplaining what Workflow Managers are,\n\tin which way they differ from each other.\nHow you can use them in your research.\nCreating your own workflow\nAnalysing your NGS data with Galaxy and TOGGLe\n\n\nInstructors\nAlexis Dereeper (AD) - alexis.dereeper@ird.fr\nSebastien Ravel (SR) - sebastien.ravel@cirad.fr\nChristine Tranchant (CT) - christine.tranchant@ird.fr\n\n", "homepage": "https://southgreenplatform.github.io/trainings//galaxyToggle/", "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/387/?format=api" ] }, { "id": 349, "name": "Reproducible Research", "shortName": "", "description": "The following topics and tools are covered in the course:\r\n\r\n Data management\r\n Project organisation\r\n Git\r\n Conda\r\n Snakemake\r\n Nextflow\r\n R Markdown\r\n Jupyter\r\n Docker\r\n Singularity\r\n\r\nAt the end of the course, students should be able to:\r\n\r\n Use good practices for data analysis and management\r\n Clearly organise their bioinformatic projects\r\n Use the version control system Git to track and collaborate on code\r\n Use the package and environment manager Conda\r\n Use and develop workflows with Snakemake and Nextflow\r\n Use R Markdown and Jupyter Notebooks to document and generate automated reports for their analyses\r\n Use Docker and Singularity to distribute containerized computational environments", "homepage": "https://southgreenplatform.github.io/training_reproducible_research/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [ "Linux - Basic Knowledge" ], "openTo": "Internal personnel", "accessConditions": "Open to South Green close collaborators", "maxParticipants": 20, "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": "2023-12-04T15:16:00.921744Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "At the end of the course, students should be able to:\r\n\r\n Use good practices for data analysis and management\r\n Clearly organise their bioinformatic projects\r\n Use the version control system Git to track and collaborate on code\r\n Use the package and environment manager Conda\r\n Use and develop workflows with Snakemake and Nextflow\r\n Use R Markdown and Jupyter Notebooks to document and generate automated reports for their analyses\r\n Use Docker and Singularity to distribute containerized computational environments", "hoursPresentations": 8, "hoursHandsOn": 13, "hoursTotal": 21, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/567/?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": 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": 294, "name": "Linux for Dummies", "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": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Open to South Green close collaborators", "maxParticipants": 15, "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": "2023-12-04T15:05:31.847400Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 3, "hoursHandsOn": 4, "hoursTotal": 7, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/468/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/555/?format=api" ] }, { "id": 254, "name": "Analyse de données NGS dédiée à la génomique végétale en Afrique de l'Ouest", "shortName": "", "description": "Les avancées spectaculaires des technologies de séquençage de 2ème et 3ème génération sont une véritable révolution pour la recherche en science de la vie. Ces techniques permettent le séquençage en quelques semaines de génomes entiers d’organismes complexes, générant une explosion du volume de données génomiques. \n\t\t\tToutefois l’analyse de telles masses d’informations nécessite des compétences en linux, en bioinformatique ainsi qu’une bonne connaissance et maîtrise de nombreux algorithmes et logiciels. La réalisation de ces analyses nécessite également l’accès à des ressources de calcul telles que des clusters de calcul. \n\t\t\tLe DP IAVAO et le LMI LAPSE en collaboration avec la plateforme bioinformatique South Green organisent, du 4 au 12 Octobre 2018, une formation en bioinformatique dédié à l’analyse de données de séquençage dont les objectifs sont de présenter les technologies de séquençage et les différentes analyses bioinformatiques pour exploiter au mieux cette masse de données afin de pouvoir réaliser des projets génomiques à grande échelle sur leurs modèles (plantes et pathogènes).\nPrérequis\nAucun\n\nProgramme\nLinux et lignes de commandes \nInitiation à l’utilisation du cluster du CERAAS \nPrésentation des technologies de séquençages \nAppel de SNP sur des données WGS \nPost analyse de données de SNPs\nOutils Genome Harvest \n\n\nObjectifs\nAprès la formation, les participants seront capables de :\nse connecter à un cluster Linux\nlancer des programmes/analyses bioinformatiques\ndéfinir les étapes pour analyser des données de séquençage\nanalyser des données de séquençage\nutiliser des gestionnaires de workflow tel que Galaxy ou TOGGLe\n\n\nInstructors\nChristine Tranchant (CT) - christine.tranchant@ird.fr\nNdomassi Tando (NT) - ndomassi.tando@ird.fr\nBertrand Pitollat (BP) - bertrand.pitollat@cirad.fr\nFrançois Sabot (SB) - francois.sabot@ird.fr\nManuel Ruiz (MR) - manuel.ruiz@cirad.fr\nGautier Sarah (GS) - gautier.sarah@cirad.fr\n\n", "homepage": "https://southgreenplatform.github.io/trainings//ngsTrainings/", "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": 14, "name": "IAVAO", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IAVAO/?format=api" } ], "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/386/?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": 397, "name": "WheatIS data discovery", "shortName": "WheatIS Search", "description": "The WheatIS project aims at building an International Wheat Information System to support the wheat research community. The main objective is to provide a single-access web base system to access to the available data resources and bioinformatics tools. The project is endorsed by the Wheat Initiative.\r\nThe WheatIS data discovery tool allows to search data in all the wheat resources around the world.\r\nThis training will describe how to use the tool, what data are available, how to join, etc.", "homepage": "", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3366", "http://edamontology.org/topic_3489", "http://edamontology.org/topic_0625", "http://edamontology.org/topic_0091", "http://edamontology.org/topic_0780" ], "keywords": [ "Données" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "Public", "maxParticipants": null, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/8/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/224/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 20, "name": "Wheat Initiative", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Wheat%20Initiative/?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": "2025-09-12T12:46:23.549824Z", "audienceTypes": [ "Undergraduate", "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/727/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/728/?format=api" ] }, { "id": 301, "name": "MIAPPE, Minimum Information About Plant Phenotyping Experiments", "shortName": "MIAPPE", "description": "The Minimal Information About Plant Phenotyping Experiments (MIAPPE, www.miappe.org) standard has been designed by ELIXIR, EMPHASIS and Bioversity international to guide plant scientist in the management of experimental data. Furthermore, since genetic studies relies on the integration and the linking between phenotype and genotype datasets, relevant section of MIAPPE are beginning to be used for genotyping standards.\r\nThis formation will cover a general introduction of the MIAPPE principles and some examples to illustrate different use cases on the usage of MIAPPE for plant phenotyping data standardization.", "homepage": "", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3298", "http://edamontology.org/topic_3572", "http://edamontology.org/topic_0219", "http://edamontology.org/topic_0625", "http://edamontology.org/topic_0780" ], "keywords": [ "Données" ], "prerequisites": [ "none" ], "openTo": "Everyone", "accessConditions": "Public", "maxParticipants": null, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/504/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/441/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "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": "2025-11-28T13:19:07.566534Z", "audienceTypes": [ "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "Novice", "trainingMaterials": [ { "id": 150, "name": "Plant Data Managment for Phenotyping Experiments - MIAPPE", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Plant%20Data%20Managment%20for%20Phenotyping%20Experiments%20-%20MIAPPE/?format=api" } ], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/732/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/733/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/734/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/736/?format=api" ] }, { "id": 317, "name": "Datathon AGENT - FAIRDOM", "shortName": "FAIRDOM", "description": "Datathon on experimental phenotypic data management using the FAIRDOM platform, and submission workflow using curation & validation tools.", "homepage": "", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3571", "http://edamontology.org/topic_3365", "http://edamontology.org/topic_3366", "http://edamontology.org/topic_3572", "http://edamontology.org/topic_0625", "http://edamontology.org/topic_0091", "http://edamontology.org/topic_0780" ], "keywords": [ "Données" ], "prerequisites": [ "Attendees will bring their own data" ], "openTo": "Internal personnel", "accessConditions": "For H2020-AGENT project members only", "maxParticipants": null, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/504/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/8/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 21, "name": "H2020-AGENT", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/H2020-AGENT/?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": "2025-09-13T13:27:42.544621Z", "audienceTypes": [ "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": true, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/737/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/735/?format=api" ] }, { "id": 398, "name": "Practical session REPET", "shortName": "REPET", "description": "How to use REPET for de novo TE annotation", "homepage": "", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0798", "http://edamontology.org/topic_0091", "http://edamontology.org/topic_0780" ], "keywords": [], "prerequisites": [ "none" ], "openTo": "Everyone", "accessConditions": "Public", "maxParticipants": null, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/131/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "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": "2025-09-12T12:48:41.366810Z", "audienceTypes": [ "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": false, "event_set": [] }, { "id": 318, "name": "Gestion des données d’expériences de phénotypage de plantes : standards et cas d’utilisation", "shortName": "FAIR Data Pheno", "description": "Cette formation donnera un aperçu des pratiques et méthodes actuelles pour la standardisation des données de phénotypage des plantes, et ce de manière de traiter la variabilité et l'hétérogénéité inhérentes aux jeux de données de recherche et de sélection.\r\nLe but de cette formation est double : 1) diffuser les bonnes pratiques pour une gestion FAIR des données de phénotypage de plantes, 2) consolider une formation modulaire adaptée à un maximum de besoins, du débutant qui souhaite partager des données standardisées dans Recherche Data Gouv, à l'utilisateur avancé qui souhaite faire de la sémantique ou utiliser des portails de données fédérés. La formation se déroulera avec une alternance de présentations générales et techniques et d'ateliers pratiques.", "homepage": "", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3571", "http://edamontology.org/topic_3572", "http://edamontology.org/topic_0219", "http://edamontology.org/topic_0625", "http://edamontology.org/topic_0780" ], "keywords": [ "Données" ], "prerequisites": [ "none" ], "openTo": "Everyone", "accessConditions": "Public", "maxParticipants": null, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/441/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/504/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "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": "2025-09-12T12:48:25.868728Z", "audienceTypes": [ "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "A l'issue de cette formation, les participants auront acquis des connaissances théoriques et pratiques sur :\r\n* la gestion des données de phénotypage des plantes selon les principes FAIR\r\n* l'utilisation des standards de (méta)données des communautés végétales\r\n* la standardisation d'un jeu de données au format MIAPPE\r\n* l'identification des moyens à mettre en oeuvre pour améliorer la gestion de leurs données", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/677/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/731/?format=api" ] }, { "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": 376, "name": "Train-the-Trainer", "shortName": "TtT", "description": "The programme objective is to give instructors tools and tips for providing an enriching learning experience to trainees, irrespective of topic, and to include best-practice guidance on course and training material development.", "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=25", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": null, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/762/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/556/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/639/?format=api" ], "elixirPlatforms": [ { "id": 1, "name": "Training", "url": "https://catalogue.france-bioinformatique.fr/api/elixirplatform/Training/?format=api" } ], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 4, "name": "IFB - ELIXIR-FR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?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/961/course/section/152/logo_TtT_MRS_def.png", "updated_at": "2024-03-21T15:33:43.289130Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "By the end of Session 1, participants will be able to:\r\n\r\nList the steps of good instructional design.\r\nDefine cognitive load.\r\nDistinguish between bad and good cognitive load.\r\nClarify why we start with learning outcomes.\r\nGive examples of effective learning strategies.\r\nConnect learning strategies to the cognitive processes they promote.\r\nSelect appropriate learning outcomes within the learning constraints.\r\nAssess your teaching outlook/practices in relation to what you’ve learned.\r\nDesign learning experiences that align with learning outcomes.\r\n\r\n\r\nBy the end of Session 2, participants will be able to:\r\n\r\nDesign a mini-training:\r\nWrite SMART Learning Outcomes \r\nIdentify target audience\r\nDraw a concept map\r\nSelect content\r\nDeliver \r\nProvide and receive targeted feedback\r\nCreate a plan from lesson to session\r\nCreate a plan from session to full course\r\n\r\n\r\nBy the end of Session 3, participants will be able to:\r\n\r\nDescribe what makes training effective.\r\nDescribe what makes a trainer effective.\r\nIdentify strategies that facilitate active, interactive, and collaborative learning.\r\nList factors of motivation and demotivation.\r\nEvaluate what instructors can do to motivate and avoid demotivating learners.\r\n\r\n\r\nBy the end of Session 4, participants will be able to\r\n\r\nDescribe the differences between formative and summative assessment\r\nExplain why frequent feedback is important\r\nList and describe a few techniques for formative feedback", "hoursPresentations": 12, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/607/?format=api" ] }, { "id": 268, "name": "EBAII - Ecole de Bioinformatique niveau débutant", "shortName": "EBAII", "description": "Description : La formation EBAII IFB Aviesan de niveau 1 propose une expérience d'apprentissage intensive conçue pour les biologistes, qu'ils soient ingénieurs, doctorants, chercheurs, enseignants-chercheurs ou praticiens, qui sont confrontés à l'analyse de données NGS (Next-Generation Sequencing) mais qui ne disposent pas encore des compétences bioinformatiques nécessaires, ou qui cherchent à renforcer leurs compétences existantes.\r\n\r\nContenu : Cette formation est structurée autour d'une combinaison de sessions théoriques et d'ateliers pratiques. Les participants auront l'occasion d'explorer diverses thématiques, notamment le traitement de données de variants, ChIP-Seq, Bulk RNA-Seq, et Single-Cell RNA-Seq. De plus, ils recevront une introduction aux technologies \"long reads\".\r\n\r\nObjectifs généraux:\r\nAcquérir une compréhension approfondie des concepts liés à l'analyse de données NGS.\r\nMaîtriser les outils informatiques nécessaires pour effectuer ces analyses.\r\nInterpréter les résultats des analyses de données NGS.", "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=28", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "Biostatistics", "Sequence analysis", "NGS Sequencing Data Analysis" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "La formation s’adresse à des biologistes directement impliqués dans des projets “Next Generation Sequencing” (NGS). \r\nAucune connaissance préalable des environnements Linux ou R n’est requise, mais il sera demandé aux participants de suivre une autoformation en ligne en amont, pour faciliter la prise en main de ces langages. La formation approfondira progressivement l’usage de ces environnements au fil des sessions thématiques.", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 3, "name": "IFB", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IFB/?format=api" }, { "id": 13, "name": "Aviesan", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Aviesan/?format=api" }, { "id": 14, "name": "Inserm", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Inserm/?format=api" } ], "organisedByOrganisations": [ { "id": 53, "name": "AVIESAN", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/AVIESAN/?format=api" }, { "id": 4, "name": "IFB - ELIXIR-FR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api" } ], "organisedByTeams": [ { "id": 10, "name": "MIGALE", "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api" }, { "id": 14, "name": "BiGEst", "url": "https://catalogue.france-bioinformatique.fr/api/team/BiGEst/?format=api" }, { "id": 4, "name": "ABiMS", "url": "https://catalogue.france-bioinformatique.fr/api/team/ABiMS/?format=api" }, { "id": 29, "name": "IFB Core", "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api" } ], "logo_url": "https://www.sb-roscoff.fr/sites/www.sb-roscoff.fr/files/styles/large/public/images/station-biologique-roscoff-roscoff-4404.jpg", "updated_at": "2024-12-05T09:11:27.530824Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/486/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/412/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/245/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/410/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/408/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/409/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/407/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/411/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/413/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/10/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/193/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/527/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/525/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/406/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/628/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/645/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/760/?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": 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": 320, "name": "Ecole Thématique de Bioinformatique Intégrative / Integrative Bioinformatics Training School", "shortName": "ETBII", "description": "Dans l’objectif de développer et fédérer des compétences en bioinformatique intégrative au sein de la communauté, l’IFB propose une nouvelle école thématique ayant un double objectif :\r\n- une montée en compétences théoriques et pratiques des bioinformaticiens,\r\n- la constitution de matériel pédagogique partagé sur ce sujet.\r\n\r\nCette école rassemble une équipe pédagogique de 10 personnes et pourra accueillir 30 participants pour sa première édition.\r\nL’ensemble de la formation reposera sur l’utilisation des ressources de calcul et de la plateforme pédagogique de l’Institut Français de Bioinformatique.\r\n\r\nObjectifs pédagogiques \r\n\r\nLa formation a pour but :\r\n- d’introduire les concepts de bases et les différents types d’approches utilisées en bioinformatique intégrative,\r\n- de proposer un approfondissement et une mise en pratique d’une de ces approches sur un/des jeux de données intégrant différents types de données omiques. Cette mise en oeuvre permettra de balayer l’ensemble des points d’attention d’une analyse intégrative, de la préparation des données jusqu’à l’interprétation des résultats,\r\n- de créer, améliorer et partager les ressources pédagogiques (supports de formation, jeux de données, tutoriels) sur le thème de la bioinformatique intégrative.\r\n\r\nA la fin de cette formation les participants :\r\n- auront acquis un socle de connaissances générales en bioinformatique intégrative, \r\n- auront mis en oeuvre une analyse intégrative depuis la préparation des données jusqu’à l’analyse critique de résultats sur un/des jeux de données proposés lors de la formation,\r\n- auront contribué à constituer du matériel pédagogique partagé sur le sujet.\r\n\r\nPré-requis\r\n- Connaissances de base en Unix/shell, R et/ou Python \r\n- Autonomie dans la gestion de son poste de travail (installation de librairies et maîtrise des environnements de packaging type conda)", "homepage": "https://www.france-bioinformatique.fr/formation/etbii/", "is_draft": false, "costs": [ "770 TTC pour les académiques et 1540 TTC pour les privés" ], "topics": [ "http://edamontology.org/topic_3391", "http://edamontology.org/topic_3366", "http://edamontology.org/topic_0091" ], "keywords": [ "Methodology", "Biostatistics", "Biological network inference and analysis", "Dimension reduction", "Semantic web", "Integration of heterogeneous data", "Data Integration", "Tool integration" ], "prerequisites": [ "Linux and knowledge of NGS formats", "Basic knowledge of R" ], "openTo": "Everyone", "accessConditions": "Cette formation est ouverte à toute la communauté mais cette première édition s’adresse en priorité à des bioinformaticien·ne·s des plateformes membres et équipes associées IFB souhaitant contribuer à la constitution de matériel pédagogique pour se préparer au montage de futures formations sur ce thème.", "maxParticipants": 30, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/762/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 1, "name": "CNRS - IFB", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/CNRS%20-%20IFB/?format=api" } ], "organisedByOrganisations": [ { "id": 4, "name": "IFB - ELIXIR-FR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api" } ], "organisedByTeams": [ { "id": 29, "name": "IFB Core", "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api" } ], "logo_url": "https://drive.google.com/file/d/1a_fuOgqOU812GRJLApGMofJ87WTlxDI0/view?usp=sharing", "updated_at": "2024-12-03T15:46:48.157120Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Life scientists", "Computer scientists", "Bioinformaticians" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "A la fin de cette formation les participants :\r\n- auront acquis un socle de connaissances générales en bioinformatique intégrative, \r\n- auront mis en oeuvre une analyse intégrative depuis la préparation des données jusqu’à l’analyse critique de résultats sur un/des jeux de données proposés lors de la formation,\r\n- auront contribué à constituer du matériel pédagogique partagé sur le sujet.", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/740/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/489/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/505/?format=api" ] }, { "id": 276, "name": "Introduction to Machine Learning Using R", "shortName": "", "description": "With the rise in high-throughput sequencing technologies, the volume of omics data has grown exponentially in recent times and a major issue is to mine useful knowledge from these data which are also heterogeneous in nature. Machine learning (ML) is a discipline in which computers perform automated learning without being programmed explicitly and assist humans to make sense of large and complex data sets. The analysis of complex high-volume data is not trivial and classical tools cannot be used to explore their full potential. Machine learning can thus be very useful in mining large omics datasets to uncover new insights that can advance the field of bioinformatics.\r\n\r\nThis 2-day course will introduce participants to the machine learning taxonomy and the applications of common machine learning algorithms to omics data. The course will cover the common methods being used to analyse different omics data sets by providing a practical context through the use of basic but widely used R libraries. The course will comprise a number of hands-on exercises and challenges where the participants will acquire a first understanding of the standard ML processes, as well as the practical skills in applying them on familiar problems and publicly available real-world data sets.", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 30, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 8, "name": "Elixir", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Elixir/?format=api" }, { "id": 4, "name": "IFB - ELIXIR-FR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api" } ], "organisedByTeams": [ { "id": 29, "name": "IFB Core", "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api" } ], "logo_url": "https://www.dissco.eu/wp-content/uploads/Elixir-Europe-logo-1.png", "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/415/?format=api" ] }, { "id": 413, "name": "Galaxy Beyond Basics: Mastering Workflows, Automation, and Scalability", "shortName": "Galaxy avancée", "description": "Join us for an intensive, week-long, in-person training designed to elevate your Galaxy expertise to new heights. This workshop is tailored for data scientists, advanced Galaxy users, and team leaders who need to scale, automate, and publish their data analysis workflows for batch processing and production-level applications.\r\n\r\nOver five days, you’ll embark on a comprehensive journey through Galaxy’s advanced capabilities:\r\n\r\nMonday: Introduction & Workflow Development\r\n\r\nStart with a welcome and icebreaker to foster collaboration, followed by a brief overview of Galaxy and its workflow features. Dive into hands-on workflow development, where you’ll learn to design clean, efficient workflows, customize them with parameters, and generate user-friendly workflow reports—combining theory with practical application.\r\n\r\nTuesday: Workflow FAIRification, Documentation, and Export\r\n\r\nBegin with a recap of Day 1, then explore UseGalaxy.fr and its unique features. Learn to annotate workflows with metadata, apply best practices for FAIR compliance, and implement tests to ensure reliability. Publish your workflows to WorkflowHub and Dockstore via the IWC. Develop high-resolution workflow visualizations and create interactive tutorials using a “Choose Your Own Tutorial” approach. Finally, master workflow export by creating RO-Crates for reproducibility and submitting workflows to LifeMonitor for performance tracking.\r\n\r\nWednesday: Scaling Workflows & Galaxy Using Command-Line and API\r\n\r\nStart with a recap and real-world examples of large-scale Galaxy projects. Learn to execute workflows from the command line using Planemo, automate batch processing with shell scripts, and analyze performance for efficiency. Discover how to scale Galaxy use with BioBlend, designing Python scripts for batch workflow execution and evaluating scalability. The day concludes with an introduction to the “Bring Your Own Work” session.\r\n\r\nThursday: Bring Your Own Work (BYOW)\r\n\r\nDedicate the day to applying your new skills to your own projects. With guidance from trainers, refine your workflows, troubleshoot challenges, and implement solutions using your personal data. Collaborate with peers, document your progress, and optimize your workflows to leave with actionable results for your research.\r\n\r\nFriday: Storage, Data Management, Recap, and Closing\r\n\r\nThe final half-day begins with a recap of the week’s progress, followed by a session on “Bring Your Own Storage”, exploring how to integrate personal or institutional storage with Galaxy. Learn about managing databases in Galaxy and the IDC (Intergalactic Data Commission) effort for efficient data organization. The workshop concludes with a general recap, supplementary exercises, and feedback and closing remarks, ensuring you leave with a comprehensive understanding and resources for continued success.\r\n\r\nThis training will be conducted in French, while the materials (slides) will be in English.\r\n\r\nLearning Objectives\r\nAt the end of the workshop, you will be able to:\r\n\r\nWorkflow development\r\n Understand the key aspects of workflows by identifying their core components and purpose.\r\n Create clean, non-repetitive workflows by applying best practices for process design.\r\n Use workflow parameters to customize and optimize workflows for specific tasks.\r\n Generate user-friendly workflow reports to display workflow results in a structured way.\r\nWorkflow FAIRyfication\r\n Annotate a Galaxy workflow with essential metadata to ensure it is findable and reusable.\r\n Apply best practices to data analysis workflows to improve consistency and interoperability.\r\n Implement robust tests to validate workflow reliability and accuracy.\r\n Publish a Galaxy workflow on WorkflowHub and Dockstore via its integration into the IWC, demonstrating enhanced findability,accessibility, interroperability and usability for the scientific community.\r\nWorkflow Documentation\r\n Design a high-resolution workflow image optimized for documentation and presentations.\r\n Develop a hands-on tutorial with a “Choose Your Own Tutorial” approach, including:\r\n A step-by-step tutorial with skeleton generation from the workflow.\r\n A real-time tutorial that runs and explains the workflow interactively.\r\n Produce a final documentation package that includes both tutorial formats and high-resolution visuals.\r\nWorkflow Export\r\n Apply the process of creating a Galaxy Workflow Run RO-Crate by packaging a workflow with its metadata, inputs, and outputs, ensuring it is reproducible and FAIR-compliant.\r\n Evaluate the completeness and accuracy of a Galaxy Workflow Run RO-Crate by reviewing its structure, metadata, and included files for adherence to best practices.\r\n Submit a workflow to LifeMonitor, analyzing the platform’s feedback to assess workflow performance and improve its reliability for future use.\r\nWorkflow Scaling using command-line\r\nExecute workflows from the command line using the Planemo run subcommand, demonstrating the ability to run and monitor workflows outside the Galaxy interface.\r\nDevelop simple shell scripts to automate the execution of multiple workflows concurrently or sequentially, optimizing efficiency and scalability.\r\nAnalyze the performance and resource usage of workflows run via shell scripts, evaluating the effectiveness of scaling strategies for large-scale data processing.\r\nScaling Galaxy Use with the API and BioBlend\r\nUtilize the BioBlend library to programmatically interact with Galaxy, executing workflows, managing datasets, and automating repetitive tasks.\r\nDesign a Python script using BioBlend to scale Galaxy workflows for batch processing, ensuring efficient resource use and reproducibility.\r\nEvaluate the performance and scalability of workflows executed via BioBlend, comparing results with manual Galaxy interactions to identify improvements.\r\n“Bring Your Own Work”\r\nApply the concepts and tools learned during the training to develop or refine your own workflows using your personal data, with guidance from trainers.\r\nTroubleshoot challenges in your workflow or data analysis, implementing solutions with the support of trainers and peers.\r\nDemonstrate progress in your project by documenting your workflow, results, and any optimizations made during the sessions.\r\n\r\nRequirements\r\nPrior knowledge and experience using Galaxy\r\nPrior knowledge and experience using command line\r\nFluent in French (materials will be in English and discussions will happen in French)\r\nYour own computer\r\nOptional but encouraged: your own workflow and dataset for the Bring Your Own Work (BYOW) session. The workflow and the dataset must be shareable and non-sensitive (i.e., they must not contain any patient-related information or confidential data). The dataset size must be small.", "homepage": "https://training.galaxyproject.org/training-material/events/2026-10-12-Advanced-Galaxy-Training.html#overview", "is_draft": false, "costs": [ "700 euros HT" ], "topics": [ "http://edamontology.org/topic_3316", "http://edamontology.org/topic_0769", "http://edamontology.org/topic_0091" ], "keywords": [ "Reproducibility", "Galaxy", "Workflow development" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "NA", "maxParticipants": 20, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/810/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/762/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/362/?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://training.galaxyproject.org/training-material/assets/images/GTN.png", "updated_at": "2026-04-23T08:22:23.122272Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Computer scientists", "Bioinformaticians", "All" ], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "At the end of the workshop, you will be able to:\r\n\r\nWorkflow development\r\nUnderstand the key aspects of workflows by identifying their core components and purpose.\r\nCreate clean, non-repetitive workflows by applying best practices for process design.\r\nUse workflow parameters to customize and optimize workflows for specific tasks.\r\nGenerate user-friendly workflow reports to display workflow results in a structured way.\r\nWorkflow FAIRyfication\r\nAnnotate a Galaxy workflow with essential metadata to ensure it is findable and reusable.\r\nApply best practices to data analysis workflows to improve consistency and interoperability.\r\nImplement robust tests to validate workflow reliability and accuracy.\r\nPublish a Galaxy workflow on WorkflowHub and Dockstore via its integration into the IWC, demonstrating enhanced findability, accessibility, interroperability and usability for the scientific community.\r\nWorkflow Documentation\r\nDesign a high-resolution workflow image optimized for documentation and presentations.\r\nDevelop a hands-on tutorial with a “Choose Your Own Tutorial” approach, including:\r\nA step-by-step tutorial with skeleton generation from the workflow.\r\nA real-time tutorial that runs and explains the workflow interactively.\r\nProduce a final documentation package that includes both tutorial formats and high-resolution visuals.\r\nWorkflow Export\r\nApply the process of creating a Galaxy Workflow Run RO-Crate by packaging a workflow with its metadata, inputs, and outputs, ensuring it is reproducible and FAIR-compliant.\r\nEvaluate the completeness and accuracy of a Galaxy Workflow Run RO-Crate by reviewing its structure, metadata, and included files for adherence to best practices.\r\nSubmit a workflow to LifeMonitor, analyzing the platform’s feedback to assess workflow performance and improve its reliability for future use.\r\nWorkflow Scaling using command-line\r\nExecute workflows from the command line using the Planemo run subcommand, demonstrating the ability to run and monitor workflows outside the Galaxy interface.\r\nDevelop simple shell scripts to automate the execution of multiple workflows concurrently or sequentially, optimizing efficiency and scalability.\r\nAnalyze the performance and resource usage of workflows run via shell scripts, evaluating the effectiveness of scaling strategies for large-scale data processing.\r\nScaling Galaxy Use with the API and BioBlend\r\nUtilize the BioBlend library to programmatically interact with Galaxy, executing workflows, managing datasets, and automating repetitive tasks.\r\nDesign a Python script using BioBlend to scale Galaxy workflows for batch processing, ensuring efficient resource use and reproducibility.\r\nEvaluate the performance and scalability of workflows executed via BioBlend, comparing results with manual Galaxy interactions to identify improvements.\r\n“Bring Your Own Work”\r\nApply the concepts and tools learned during the training to develop or refine your own workflows using your personal data, with guidance from trainers.\r\nTroubleshoot challenges in your workflow or data analysis, implementing solutions with the support of trainers and peers.\r\nDemonstrate progress in your project by documenting your workflow, results, and any optimizations made during the sessions.", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": true, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/802/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/803/?format=api" ] } ] }
