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Finally you will be able to extract the differentially expressed genes.","homepage":"https://bioinfo.genotoul.fr/index.php/events/rnaseq-alignment-transcripts-assemblies-statistics/","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_0203","http://edamontology.org/topic_3308"],"keywords":["NGS Data Analysis","Expression"],"prerequisites":["Linux/Unix","Cluster","Langage R de base"],"openTo":"Everyone","accessConditions":"Register on the training page : https://bioinfo.genotoul.fr/index.php/training-2/training/","maxParticipants":12,"contacts":["https://catalogue.france-bioinformatique.fr/api/userprofile/642/?format=json","https://catalogue.france-bioinformatique.fr/api/userprofile/739/?format=json","https://catalogue.france-bioinformatique.fr/api/userprofile/300/?format=json"],"elixirPlatforms":[],"communities":[],"sponsoredBy":[],"organisedByOrganisations":[{"id":15,"name":"MIAT","url":"https://catalogue.france-bioinformatique.fr/api/organisation/MIAT/?format=json"}],"organisedByTeams":[{"id":33,"name":"Genotoul-biostat","url":"https://catalogue.france-bioinformatique.fr/api/team/Genotoul-biostat/?format=json"},{"id":22,"name":"Genotoul-bioinfo","url":"https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=json"}],"logo_url":"https://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png","updated_at":"2025-12-09T09:40:46.927545Z","audienceTypes":["Professional (continued)"],"audienceRoles":["Life scientists","Biologists","Bioinformaticians"],"difficultyLevel":"Intermediate","trainingMaterials":[{"id":136,"name":"Training RNASeq - biostat part - Genotoul-bioinfo","url":"https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Training%20RNASeq%20-%20biostat%20part%20-%20Genotoul-bioinfo/?format=json"},{"id":135,"name":"Training RNASeq - bioinfo part - Genotoul-bioinfo","url":"https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Training%20RNASeq%20-%20bioinfo%20part%20-%20Genotoul-bioinfo/?format=json"}],"learningOutcomes":"","hoursPresentations":null,"hoursHandsOn":null,"hoursTotal":21,"personalised":false,"event_set":["https://catalogue.france-bioinformatique.fr/api/event/754/?format=json","https://catalogue.france-bioinformatique.fr/api/event/612/?format=json","https://catalogue.france-bioinformatique.fr/api/event/721/?format=json"]},{"id":381,"name":"HOW TO RUN A NF-CORE NEXTFLOW WORKFLOW ON GENOTOUL ?","shortName":"Nextflow/nf-core","description":"This training session is organized by the Genotoul bioinfo platform and aims at learning nf-core workflow submission, error understanding, resuming jobs and ressource reservation. 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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. 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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 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sessions.","hoursPresentations":null,"hoursHandsOn":null,"hoursTotal":null,"personalised":true,"event_set":["https://catalogue.france-bioinformatique.fr/api/event/802/?format=json","https://catalogue.france-bioinformatique.fr/api/event/803/?format=json"]},{"id":299,"name":"Initiation à Galaxy / Galaxy Initiation","shortName":"Galaxy Initiation","description":"Objectifs\r\n- Savoir exploiter l’environnement Galaxy pour être en mesure d’analyser ses données.\r\n- Être en mesure de créer ses workflows.\r\nProgramme\r\n- Téléchargement des données à traiter.\r\n- Manipulation de fichiers.\r\n- Traitement des données.\r\n- Visualisation des résultats.\r\n- Création de workflows.\r\n- Partage de résultats et de 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Elle s’inscrit aussi dans l’aspect science-ouverte afin de rendre plus facilement disponible et pérenne le travail bio-informatique. Après une introduction aux pratiques FAIR axées notamment sur les notions de reproductibilité et de répétabilité du code, plusieurs approches seront abordées: les bonnes pratiques de partage et gestion des versions des outils utilisés ; la gestion des environnements de travail (conda, docker, singularity) ; découverte du gestionnaire de workflow Snakemake : et enfin la documentation du code avec Rmarkdown et Jupyter.","homepage":"https://mesocentre.uca.fr/actualites/pratiques-fair-en-bioinformatique-pour-des-analyses-reproductibles","is_draft":false,"costs":["Free to academics"],"topics":["http://edamontology.org/topic_0769","http://edamontology.org/topic_3068","http://edamontology.org/topic_3307","http://edamontology.org/topic_0091"],"keywords":["Methodology","Programming Languages & Computer Sciences","Cloud","Linux","Snakemake","Docker","R"],"prerequisites":["Linux - Basic Knowledge"],"openTo":"Everyone","accessConditions":"Having an account on Mesocentre Clermont Auvergne Infrastructure","maxParticipants":15,"contacts":["https://catalogue.france-bioinformatique.fr/api/userprofile/261/?format=json"],"elixirPlatforms":[],"communities":[],"sponsoredBy":[],"organisedByOrganisations":[{"id":87,"name":"AuBi","url":"https://catalogue.france-bioinformatique.fr/api/organisation/AuBi/?format=json"},{"id":94,"name":"University Clermont Auvergne","url":"https://catalogue.france-bioinformatique.fr/api/organisation/University%20Clermont%20Auvergne/?format=json"}],"organisedByTeams":[{"id":31,"name":"AuBi","url":"https://catalogue.france-bioinformatique.fr/api/team/AuBi/?format=json"}],"logo_url":"https://mesocentre.uca.fr/medias/photo/logoaubi-2019minus_1553844844490-jpg?ID_FICHE=41175","updated_at":"2023-06-14T10:18:52.160465Z","audienceTypes":[],"audienceRoles":[],"difficultyLevel":"Novice","trainingMaterials":[],"learningOutcomes":"","hoursPresentations":10,"hoursHandsOn":20,"hoursTotal":30,"personalised":null,"event_set":["https://catalogue.france-bioinformatique.fr/api/event/537/?format=json","https://catalogue.france-bioinformatique.fr/api/event/709/?format=json"]}]}