Handles creating, reading and updating events.

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            "name": "Introduction to single-cell RNAseq analysis",
            "shortName": "Introduction to single-cell RNAseq analysis",
            "description": "Objectives\r\n- Understand and learn the main steps of scRNA-seq data analysis, up to marker gene detection and cell type identification.\r\n- Be able to use the Seurat package on a small test dataset, from count matrices to clustering and cluster annotation.\r\n- Understand the basics of the analysis in order to apply them to one’s own dataset.\r\n\r\nCourse Content\r\nI. Introduction\r\n- Single-cell RNA sequencing\r\n- From raw sequencing data to count matrices\r\n- Software tools\r\n\r\nII. Preprocessing of the expression matrix (Theory and Practice)\r\n- Quality control\r\n- Normalization\r\n- Dimensionality reduction (HVG, PCA, UMAP)\r\n- Detection of expression biases\r\n\r\nIII. Annotation (Theory and Practice)\r\n- Clustering\r\n- Marker genes\r\n- Cell type identification\r\n- Analysis of marker gene lists with the R package ClusterProfiler\r\n\r\nIV. Practical Workshop “Bring your own data”\r\n- Semi-autonomous execution of primary analysis on learners’ own data",
            "homepage": "https://pf-bird.univ-nantes.fr/training/singlecell/",
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            "updated_at": "2026-09-03T15:09:40.096491Z",
            "type": "Training course",
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            "name": "Cluster - session 23/04/2024",
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            "description": "This training session is designed to help you deal with the platform compute cluster and data banks. You will launch your first processing batch on the cluster and will learn how to track and manage them. Organized jointly by the Sigenae and bioinfo genotoul platforms.",
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            "updated_at": "2024-03-26T14:24:58.135354Z",
            "type": "Training course",
            "start_date": "2024-04-23",
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            "name": "Python basics - session November 2026",
            "shortName": "",
            "description": "Bilille offers a training session on basics with Python language.\r\n\r\nThis training session will introduce the Python language.\r\n\r\nThe training is mainly designed for biologists (researchers, engineers, technicians).\r\n\r\nThe training covers the following topics:\r\n- Introduction to Python and Visual Code Studio\r\n- Variables\r\n- Lists\r\n- Dictionaries\r\n- Conditions\r\n- Loops\r\n- Jupyter notebooks\r\n- Functions\r\n- Packages\r\n- Reading and writing files\r\n- Dataframes\r\n- Plots\r\n- Bring your own analysis: during the final half-day, participants will have the opportunity to write a script based on the analysis of their choice.",
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            "updated_at": "2026-09-10T10:13:40.030269Z",
            "type": "Training course",
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            "name": "A Hackathon for microbial data analysis workflow FAIRification",
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            "description": "The primary goal of this hackathon is to prepare, integrate, and FAIRify microbial data analysis Galaxy workflows within the Intergalactic Workflow Commission (IWC), ensuring they adhere to best practices for accessibility, interoperability, and reusability across the bioinformatics community. IWC acts as a central hub for Galaxy workflows, automatically listing them in major registries like Dockstore and WorkflowHub, while ensuring workflows are rigorously reviewed, tested, and updated with every new Galaxy release. Versioning, tool updates, and essential metadata enhance the findability and usability of each workflow.\r\n\r\nIn short, the objectives of this hackathon are to:\r\n- Annotate and apply best practices to microbial data analysis Galaxy workflows for consistency and reusability\r\n- Implement robust tests to ensure workflow reliability and accuracy\r\n- Successfully integrate key microbial data analysis Galaxy workflows into IWC, improving accessibility and usability\r\n- Collaborate as a community to refine and improve workflows, ensuring they are peer-reviewed and meet high standards\r\n- Make these peer-reviewed workflows accessible to the broader community through the future microGalaxy Lab\r\n\r\nThis hackathon is open to participants from all communities, so join us to help shape the future of bioinformatics workflows! Experts and IWC experienced users will be participating in the hackathon to support and explain the requirements during the event.",
            "homepage": "https://galaxyproject.org/events/2024-11-21-hackathon-microgalaxy-iwc/",
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            "updated_at": "2024-11-22T09:55:01.514886Z",
            "type": "Workshop",
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            "venue": "Online with a\r\n       • a Zoom room, open the whole week\r\n       • 2 stand-ups to accommodate different time zones\r\n       • Several brainstorming meetings\r\n       • microGalaxy Matrix chat for communication",
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            "shortName": "RNASeq bioinfo / biostat",
            "description": "The Toulouse Genotoul bioinformatics platform, in collaboration with the Genotoul Biostatistics platform, and the MIAT unit, organize a 3,5 days long training course for bio-informaticians and biologists aiming at learning sequence analysis. It focuses on (protein coding) gene expression analysis using reads produced by ‘RNA-Seq’. This training session is designed to introduce sequences from ‘NGS’ (Next Generation Sequencing), particularly Illumina platforms (HiSeq). You will discover the standards file formats, learn about the usual biases of this type of data and run different kinds of analyses, such as spliced alignment on a reference genome, novel gene and transcript discovery, expression quantification of coding genes and transcripts. Finally you will be able to extract the differentially expressed genes.",
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            "name": "Interactive Online Companionship - R formation Session 2027",
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            "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/iot_r_scrnaseq.html",
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                "Private Sector : price on demand"
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            "name": "Formation d'initiation à la plateforme de stockage d'imagerie OMERO",
            "shortName": "Formation d'initiation à OMERO",
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            "name": "Introduction to the command-line interface",
            "shortName": "Introduction to Linux - BiRD",
            "description": "Objectives\r\n- Understand the principles and advantages of the Linux system\r\n- Know and use the main bash commands.\r\n- Ability to chain multiple commands using pipes\r\n- Launch programs with arguments\r\n- Gain independence to perform command line analyses\r\n\r\nCourse Content\r\n- Introduction to the Linux system.\r\n- File system: directory structure, paths, home directory, file and directory management.\r\n- Principle of protections: reading file attributes, access rights, management of user groups.\r\n- Useful commands for file manipulation\r\n- Redirection operators (command input/output)\r\n- Creating and running a bash script\r\nIntroduction to environment variables\r\nConnecting to a remote server via a terminal or via WSL",
            "homepage": "https://pf-bird.univ-nantes.fr/training/linux/",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [
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            ],
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            "accessConditions": "",
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            "logo_url": "https://bird.univ-nantes.io/website/images/logo/logo.svg",
            "updated_at": "2026-09-03T15:04:30.957835Z",
            "type": "Training course",
            "start_date": "2026-10-05",
            "end_date": "2026-10-05",
            "venue": "",
            "city": "",
            "country": "",
            "geographical_range": "",
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            "realisation_status": "future",
            "registration_opening": "2026-09-01",
            "registration_closing": "2026-10-02",
            "registration_status": "open",
            "courseMode": "Onsite"
        },
        {
            "id": 604,
            "name": "Hackathon - Improving the annotation of Galaxy resources for microbial data analysis and beyond",
            "shortName": "",
            "description": "This hackathon aims to improve the annotation of Galaxy resources for microbial data analysis and beyond\r\n\r\nThe objective of this hackathon is to improve the annotation of the Galaxy resources (tools, training, workflows) for microbial data analysis by:\r\n\r\n - Linking microbial Galaxy tools to bio.tools to obtain EDAM ontology annotation\r\n - Improving bio.tools annotations\r\n - Annotating existing microbial-related tutorials with EDAM terms\r\n - Reflecting on the addition of EDAM terms to workflows\r\n - Reflecting on missing terms in the EDAM ontology for microbial data analyses\r\n - Brainstorming about a way to connect tool annotations to improve training and workflow annotations",
            "homepage": "https://galaxyproject.org/events/2024-03-11-hackathon-galaxy-resources-annotation/#preliminary-schedule",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [
                "http://edamontology.org/topic_0769",
                "http://edamontology.org/topic_3697",
                "http://edamontology.org/topic_3941",
                "http://edamontology.org/topic_3174"
            ],
            "keywords": [
                "EDAM",
                "Annotation",
                "Galaxy"
            ],
            "prerequisites": [],
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            "accessConditions": "",
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                    "id": 4,
                    "name": "IFB - ELIXIR-FR",
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            ],
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                    "id": 31,
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            ],
            "logo_url": null,
            "updated_at": "2024-02-19T10:09:50.076964Z",
            "type": "Workshop",
            "start_date": "2024-03-11",
            "end_date": "2024-03-15",
            "venue": "Online with a\r\n       • a Zoom room, open the whole week\r\n       • 2 daily stand-ups to accommodate different time zones\r\n       • Several brainstorming meetings\r\n       • microGalaxy Matrix chat for communication",
            "city": "",
            "country": "",
            "geographical_range": "International",
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            "registration_closing": null,
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            "id": 439,
            "name": "Annotation and analysis of prokaryotic genomes using the MicroScope platform - novembre 2022",
            "shortName": "MicroScope training - nov 2022",
            "description": "In an effort to inform members of the research community about our annotation methods, to provide training for collaborators and other scientists who use the MicroScope platfom, and to inform scientific public on the analysis available in PkGDB (Prokaryotic Genome DataBase), we have developed a 4.5-day course in Microbial Genome Annotation and Comparative Analysis using the MaGe graphical interfaces.\r\n\r\nThis course will familiarize attendees with LABGeM’s annotation pipeline and the manual annotation software MaGe (Magnifying Genome) . No specific bioinformatics skill is required: detailed instruction on the algorithm developed in each annotation methods can be found in specific training courses on «Genomic sequences analysis». Here we focus on the general idea behind each method and, above all, the way you can interpret the corresponding results and combine them with other evidences in order to change or correct the current automatic functional annotation of a given gene, if necessary.\r\n\r\nThis course will also describe how to perform effective searches and analysis of procaryotic data using the graphical functionalities of the MaGe’s interfaces. Because of the numerous pre-computation available in our system (results of “common” annotation tools, synteny with all complete bacterial genomes, metabolic pathway reconstruction, fusion/fission events, genomic islands, …), many practical exercises allow attendees to get familiar with the use the MaGe graphical interfaces in order to efficiently explore these sets of results.",
            "homepage": "https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/training-annotation-analysis-of-prokaryotic-genomes-using-the-microscope-platform/",
            "is_draft": false,
            "costs": [
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                "1350 € for academics",
                "945 € for students"
            ],
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                "http://edamontology.org/topic_3301",
                "http://edamontology.org/topic_0797"
            ],
            "keywords": [
                "Genome analysis",
                "Sequence annotation"
            ],
            "prerequisites": [
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            ],
            "openTo": "Everyone",
            "accessConditions": "External training sessions can also be scheduled on demand, in France or abroad. See : https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/external-microscope-professional-training-sessions/",
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                    "name": "Laboratory of Bioinformatics Analyses for Genomics and Metabolism",
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            "logo_url": null,
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2022-11-21",
            "end_date": "2022-11-25",
            "venue": "Evry University Paris Saclay",
            "city": "Evry",
            "country": "France",
            "geographical_range": "International",
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            "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=28",
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                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [],
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            "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.",
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                    "id": 14,
                    "name": "Inserm",
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                    "id": 4,
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                    "id": 14,
                    "name": "BiGEst",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/BiGEst/?format=api"
                },
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                    "id": 11,
                    "name": "Pasteur HUB",
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                    "name": "ABiMS",
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                    "id": 29,
                    "name": "IFB Core",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api"
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                    "id": 22,
                    "name": "Genotoul-bioinfo",
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                }
            ],
            "logo_url": "https://moodle.france-bioinformatique.fr/pluginfile.php/1023/course/section/179/logoEBAII.jpg",
            "updated_at": "2024-12-05T09:13:51.889568Z",
            "type": "Training course",
            "start_date": "2024-11-17",
            "end_date": "2024-11-22",
            "venue": "",
            "city": "Roscoff",
            "country": "France",
            "geographical_range": "National",
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            "registration_closing": "2024-06-14",
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        {
            "id": 591,
            "name": "BIGomics, Génomique Comparative Biopolis",
            "shortName": "",
            "description": "Ce module vise à fournir une expérience d’analyse de données de génomique.\r\nLes technologies Next Generation Sequencing (NGS) ont conduit à une production massive de\r\ndonnées « Omiques » pour les plantes cultivées majeures, ce qui demande de nouvelles\r\napproches d’analyses haut débit. La connaissance de ces approches et des outils qui en\r\ndécoulent pour analyser la séquence et la structure des génomes, les annoter et caractériser\r\nleur diversité et leurs profils d’expression permet d’aborder des questions de recherche\r\nbiologique avancée sur la diversité et l’adaptation des plantes. Les espèces prises en\r\nconsidération sont des espèces phares des instituts de recherche agronomique de Montpellier\r\net font partie des cultures les plus importantes pour l’agriculture mondiale. Des plateformes\r\nd’outils bioinformatiques récents reposant sur des centres de calcul et de stockage haute\r\ncapacité, sont en place pour analyser des jeux de données originales permettant de mieux\r\ncomprendre comment les génomes de plantes évoluent et s’expriment. L’ensemble de ces\r\nconnaissances Findable, Accessible, Interoperable, Reusable car intégré dans des systèmes\r\nd’information peut soutenir l'identification de gènes responsables de caractères adaptatifs ou\r\nde production. La mobilisation de jeunes chercheurs sur ces sujets est primordiale tant la\r\ndemande est importante.\r\nLe module est structuré sous la forme de cours et de travaux tutorés avec la rencontre de\r\ngénéticiens et de bioinformaticiens permettant d’appréhender les formes variées des progrès\r\nen bioanalyse génomique. Il permet d’acquérir les lignes directrices pour l’accès, l'utilisation\r\net l'analyse de différents types de données omique (e.g. (épi)génomique, transcriptomique,\r\nprotéique, métabolique) en vue d’accélérer les recherches en génomique fonctionnelle et\r\nbiotechnologie des plantes.\r\nL’évaluation sera faite sur la base de la participation et de la qualité du projet proposé par\r\nl’étudiant en fin de module, individuellement ou en binôme, suivant les consignes détaillées en\r\ndébut de module",
            "homepage": "https://elearning.cirad.fr/mod/resource/view.php?id=2339",
            "is_draft": false,
            "costs": [
                "Free to academics"
            ],
            "topics": [
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                "http://edamontology.org/topic_0797",
                "http://edamontology.org/topic_0780",
                "http://edamontology.org/topic_3810"
            ],
            "keywords": [
                "Phylogeny",
                "Biodiversity",
                "NGS Data Analysis"
            ],
            "prerequisites": [
                "Basic knowledge of R"
            ],
            "openTo": "Everyone",
            "accessConditions": "Inscription via un formulaire Moodle",
            "maxParticipants": 50,
            "contacts": [
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                    "name": "IRD",
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                },
                {
                    "id": 82,
                    "name": "INRAE",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api"
                },
                {
                    "id": 50,
                    "name": "CIRAD",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CIRAD/?format=api"
                }
            ],
            "organisedByTeams": [
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                    "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/logo_southgreen_carre_6577134.png",
            "updated_at": "2024-03-11T13:17:13.095567Z",
            "type": "Training course",
            "start_date": "2024-03-04",
            "end_date": "2024-03-08",
            "venue": "",
            "city": "Montpellier",
            "country": "France",
            "geographical_range": "International",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2024-01-24",
            "registration_closing": "2024-02-09",
            "registration_status": "closed",
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        },
        {
            "id": 605,
            "name": "BIGomics, Génomique Comparative",
            "shortName": "BOGC",
            "description": "Ce module vise à fournir une expérience d’analyse de données de génomique.\r\nLes technologies Next Generation Sequencing (NGS) ont conduit à une production massive de\r\ndonnées « Omiques » pour les plantes cultivées majeures, ce qui demande de nouvelles\r\napproches d’analyses haut débit. La connaissance de ces approches et des outils qui en\r\ndécoulent pour analyser la séquence et la structure des génomes, les annoter et caractériser\r\nleur diversité et leurs profils d’expression permet d’aborder des questions de recherche\r\nbiologique avancée sur la diversité et l’adaptation des plantes. Les espèces prises en\r\nconsidération sont des espèces phares des instituts de recherche agronomique de Montpellier\r\net font partie des cultures les plus importantes pour l’agriculture mondiale. Des plateformes\r\nd’outils bioinformatiques récents reposant sur des centres de calcul et de stockage haute\r\ncapacité, sont en place pour analyser des jeux de données originales permettant de mieux\r\ncomprendre comment les génomes de plantes évoluent et s’expriment. L’ensemble de ces\r\nconnaissances Findable, Accessible, Interoperable, Reusable car intégré dans des systèmes\r\nd’information peut soutenir l'identification de gènes responsables de caractères adaptatifs ou\r\nde production. La mobilisation de jeunes chercheurs sur ces sujets est primordiale tant la\r\ndemande est importante.\r\nLe module est structuré sous la forme de cours et de travaux tutorés avec la rencontre de\r\ngénéticiens et de bioinformaticiens permettant d’appréhender les formes variées des progrès\r\nen bioanalyse génomique. Il permet d’acquérir les lignes directrices pour l’accès, l'utilisation\r\net l'analyse de différents types de données omique (e.g. (épi)génomique, transcriptomique,\r\nprotéique, métabolique) en vue d’accélérer les recherches en génomique fonctionnelle et\r\nbiotechnologie des plantes.\r\nL’évaluation sera faite sur la base de la participation et de la qualité du projet proposé par\r\nl’étudiant en fin de module, individuellement ou en binôme, suivant les consignes détaillées en\r\ndébut de module",
            "homepage": "https://elearning.cirad.fr/mod/resource/view.php?id=2339",
            "is_draft": false,
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                "http://edamontology.org/topic_0780",
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            "keywords": [
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                "Biodiversity",
                "NGS Data Analysis"
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            "prerequisites": [
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            ],
            "openTo": "Everyone",
            "accessConditions": "Inscription via un formulaire Moodle",
            "maxParticipants": 50,
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                    "name": "Agropolis Fondation",
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                }
            ],
            "organisedByOrganisations": [
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                    "id": 85,
                    "name": "IRD",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IRD/?format=api"
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                    "id": 82,
                    "name": "INRAE",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api"
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                {
                    "id": 50,
                    "name": "CIRAD",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CIRAD/?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": "2024-03-11T13:30:02.752091Z",
            "type": "Training course",
            "start_date": "2024-04-11",
            "end_date": "2024-04-16",
            "venue": "Campus numérique francophone - AUF - Université d'Antananarivo",
            "city": "Antananarivo",
            "country": "Madagascar",
            "geographical_range": "",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2024-03-04",
            "registration_closing": "2024-03-17",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 632,
            "name": "LINUX - session 07/10/2024",
            "shortName": "",
            "description": "This training session is organized by the Genotoul bioinfo platform and aims at learning sequence analysis. This training session has been designed to familiarize yourself with the platform resources and its organization. You will learn to access the platform from your work station, what is an Linux environment and how to use it, how to create and manipulate files, how to transfer them from and to your personal computer.\r\n\r\nThis training is focused on practice. It consists of 3 modules with a large variety of exercises:\r\n\r\n- Connect to « genotoul » server (09:00 am to 10:30 am): Platform presentation, Linux basics, opening an user account, Putty installation, first connection.\r\n- Files and basics commands  (10:45 am to 12:00 pm): types of files and secure access, file manipulation commands, text editors and viewers, disk space management .\r\n- Transfers and file manipulation (14:00 pm to 17:00 pm): download/transfer, compress/uncompress, utility commands and data extraction, output redirections.",
            "homepage": "http://bioinfo.genotoul.fr/index.php/events/linux-2-2/",
            "is_draft": false,
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