Handles creating, reading and updating events.

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            "name": "Les langages de workflows pour une analyse bioinformatique reproductible - session 2024 / Workflow languages for reproducible bioinformatics analysis -2024 session",
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            "description": "L’Institut Français de Bioinformatique (IFB) organise en partenariat avec iPOP-UP (représenté par EDC) une formation sur les langages de workflows en bioinformatique à destination des bioinformaticien·ne·s et des bioanalystes. La formation abordera les fondamentaux et les fonctionnalités avancées des deux langages Snakemake et Nextflow. Ces outils sont en effet devenus indispensables pour assurer la reproductibilité et l’efficacité des analyses bioinformatiques. La formation sera structurée en deux séquences :\r\n- une journée commune qui abordera les grands principes des gestionnaires de workflow, en particulier dans le domaine de la bioinformatique et en lien avec les infrastructures de calcul de type cluster et cloud proposés au sein de l’IFB \r\n- une  journée de session pratique  avec 1 atelier snakemake et 1 atelier nextflow en parallèle au choix des participants. Nous proposons aux participants qui le souhaitent de travailler sur leur propre workflow dans une approche “Bring your own script” avec l’aide de l’équipe pédagogique.",
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            "updated_at": "2024-03-28T10:04:12.722566Z",
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            "end_date": "2024-10-16",
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            "name": "How To Run a NF-Core Nextflow Workflow On Genotoul ? - session 12/11/2024",
            "shortName": "Nextflow/nf-core - session 12/11/2024",
            "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. We will present and practice:\r\n\r\nthe Nextflow software\r\nthe nf-core community and pipelines\r\nWhat is a singularity image ?\r\nWhere are installed the nf-core workflows ? Which version do I use ?\r\nHow to run a workflow and which config file is used ?\r\nWhich kind of error I can get ?\r\nHow to resume failed jobs?\r\nHow to handle genome indexes ?\r\nHow to monitor my process and then well configure my workflow ?\r\nHow do you best adjust CPU and RAM reservations?\r\nThis is NOT a bioinformatic training on a particular workflow or a training on how to develop a workflow.\r\n\r\nThis training is focused on practice. It consists of several modules with a large variety of exercises:\r\n\r\nStart at 09:00 am\r\nEnd at 17:00 pm",
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                "Non-academic: 550€ + 20% taxes (TVA)",
                "Academic but non-INRAE: 170 € + 20% taxes (TVA)",
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            "updated_at": "2024-06-10T12:38:11.016801Z",
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            "name": "Artificial Intelligence and Machine Learning in Life Sciences: from foundations to applications 2025",
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            "description": "Artificial intelligence (AI) has permeated our lives, transforming how we live and work. Over the past few years, a rapid and disruptive acceleration of progress in AI has occurred, driven by significant advances in widespread data availability, computing power and machine learning. Remarkable strides were made in particular in the development of foundation models - AI models trained on extensive volumes of unlabelled data. Moreover, given the large amounts of omics data that are being generated and made accessible to researchers due to the drop in the cost of high-throughput technologies, analysing these complex high-volume data is not trivial, and the use of classical statistics can not explore their full potential. As such, Machine Learning (ML) and Artificial Intelligence (AI) have been recognized as key opportunity areas, as evidenced by a number of ongoing activities and efforts throughout the community.\r\n\r\nHowever, beyond the technological advances, it is equally important that the individual researchers acquire the necessary knowledge and skills to fully take advantage of Machine Learning. Being aware of the challenges, opportunities and constraints that ML applications entail, is a critical aspect in ensuring high quality research in life sciences.\r\n\r\nRecognizing this need, this week-long training will bring together experts from four ELIXIR Nodes and deliver a hands-on, high-intensity course available for members from all ELIXIR Nodes.\r\n\r\nLearners will be guided across the various steps in Machine Learning, from the foundational concepts, through the deep learning and generative AI techniques, closely complemented by insights into the existing reporting (DOME Recommendations) and regulatory frameworks (EU AI Act).\r\n\r\nThis 4-day school will involve around 10 trainers/helpers from across 4 different ELIXIR nodes and 30 participants from across all ELIXIR nodes. It will be hosted in France in May 2025.",
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            "updated_at": "2024-12-19T15:43:33.918124Z",
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            "start_date": "2025-05-19",
            "end_date": "2025-05-23",
            "venue": "CAES Centre Paul-Langevin",
            "city": "Aussois",
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            "id": 151,
            "name": "MOD2018",
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            "description": " Axée sur les technologies pour l'assemblage des génomes et sur les applications en Santé et en Environnement.",
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            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Conference",
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            "name": "Introduction to High-performance computing",
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            "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/",
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            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
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            "id": 119,
            "name": "Introduction à R",
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            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
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            "venue": "",
            "city": "Villeurbanne",
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        {
            "id": 518,
            "name": "Statistiques avec R / Statistics with R - Session 1 - 2023",
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            "description": "Objectifs\r\n- Choisir un test statistique adapté à un problème donné.\r\n-\r\nImporter des données et réaliser un test avec R.\r\nProgramme\r\n- Théorie : modèle, loi de distribution, hypothèse H0, variable de test, p-value, tests multiples, FDR\r\n- Pratique : réalisation de tests sous R dans un environnement convivial (RStudio)\r\n-\r\ntests usuels simples : Gauss, Student, χ2\r\n-\r\ntests multiples : ANOVA, correction (ex. Student multiple), tests spécifiques (ex. SAM)",
            "homepage": "https://abims.sb-roscoff.fr/training/courses",
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            "updated_at": "2023-05-17T09:27:31.911754Z",
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