Handles creating, reading and updating events.

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            "description": "The Toulouse Genotoul bioinformatics platform, organizes a 2 days long training course for non computer scientist and biologists aiming at learning the foundation of Python programming. In this training you will learn the basics of programming (variables, functions, control structures such as “if” condition, “for” loop”), writing simple programs which read files, and write results to others. The training course does not require any knowledge in programming, but basic Linux/bash commands are required (cd, ls).\r\n\r\nThis training focuses on practice. It consists of modules with a large variety of exercises described hereunder (PROVISIONAL SCHEDULE):\r\n\r\nUsing a Jupyter notebook (Day 1).\r\nUsing variables (Day 1).\r\nBasic operations and functions (Day 1).\r\nReading a file, writing to a file (Day 1).\r\nCharacter string manipulation (Day 1).\r\nLists and dictionaries (Day 2).\r\nThe if and for controls (Day 2).\r\nBases of algorithms (Day 2).",
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            "logo_url": "http://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png",
            "updated_at": "2026-02-02T09:50:06.789625Z",
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            "start_date": "2026-04-20",
            "end_date": "2026-04-21",
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            "city": "Castanet-Tolosan",
            "country": "France",
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            "id": 631,
            "name": "Using sed and awk to modify large large text files - session 03/10/2024",
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            "description": "This “Sed and AWK to modify large text files” training session is organized by the Genotoul bioinfo platform.\r\n\r\nThe Linux sed command is a powerful and very fast text editor without an interface. Sed can select, substitute, add, delete, and modify text in files and streams. Sed relies heavily on regular expressions for pattern matching and text selection. We’ll manipulate regexes and the sed command to modify and filter several type of file often used in bioinformatics.\r\n\r\nAWK enables to easily process columns in large text files but is also a quite powerfull programming language. This training session aims at introducing you AWK principles. You will learn about variables, operators and functions useful to manipulate very large files. \r\n\r\nFor example you can use AWK to generate your unix command lines to be launched on the cluster. AWK enables to process millions of lines in text files. The course includes short feature presentations between long hands-on sessions in which you will be able to understand the global ideas as well as details.",
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            "id": 782,
            "name": "Manipulation de données avec R, introduction à tidyverse - 2026",
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            "homepage": "https://documents.migale.inrae.fr/trainings.html",
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                "Priced"
            ],
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            ],
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            ],
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            "end_date": "2026-03-31",
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        },
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            "id": 627,
            "name": "Principes FAIR pour la gestion des données  - Session 2024 IBISA-IFB Lyon",
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            "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=30",
            "is_draft": false,
            "costs": [
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            ],
            "topics": [
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                "http://edamontology.org/topic_0219",
                "http://edamontology.org/topic_3571"
            ],
            "keywords": [
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            ],
            "prerequisites": [
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            ],
            "openTo": "Internal personnel",
            "accessConditions": "private for IBISA platform staff",
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            ],
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            "updated_at": "2024-04-24T09:40:20.523534Z",
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            "start_date": "2024-06-11",
            "end_date": "2024-07-03",
            "venue": "",
            "city": "Lyon",
            "country": "",
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        },
        {
            "id": 604,
            "name": "Hackathon - Improving the annotation of Galaxy resources for microbial data analysis and beyond",
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            "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",
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                "http://edamontology.org/topic_3941",
                "http://edamontology.org/topic_3174",
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            "keywords": [
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            ],
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                    "name": "IFB - ELIXIR-FR",
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            ],
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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": "",
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            "registration_closing": null,
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        },
        {
            "id": 787,
            "name": "Initiation à Python / Introduction to Python - 2026",
            "shortName": "Introduction to Python 2026",
            "description": "Objectifs pédagogiques\r\n\r\nA l’issue de la formation, les stagiaires seront capables de :\r\n\r\nmaitriser les éléments de base du langage de programmation Python,\r\nles appliquer sur des cas concrets en bioinformatique,\r\nêtre autonome dans la mise en place de tâches simples d’extraction d’informations, dans le cadre de traitement de données via le langage de programmation Python.\r\n\r\nProgramme\r\n\r\nPrésentation de Python\r\nVariables Python\r\nStructures de contrôle\r\nGestion de fichiers\r\nRéalisation de programmes simples et de Notebooks Jupyter\r\nMise en pratique avec des exercices de manipulation de fichiers de séquences",
            "homepage": "https://documents.migale.inrae.fr/trainings.html",
            "is_draft": false,
            "costs": [
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            ],
            "topics": [
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            ],
            "keywords": [
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            ],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "",
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            "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png",
            "updated_at": "2026-02-12T10:30:53.467274Z",
            "type": "Training course",
            "start_date": "2026-06-01",
            "end_date": "2026-06-02",
            "venue": "",
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            "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/",
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            ],
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            "logo_url": "https://labgem.genoscope.cns.fr/wp-content/uploads/2019/06/MicroScope_logo-300x210.png",
            "updated_at": "2026-01-22T13:20:26.879727Z",
            "type": "Training course",
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            "end_date": "2026-04-03",
            "venue": "",
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        },
        {
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            "shortName": "",
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            "is_draft": false,
            "costs": [
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            ],
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            ],
            "keywords": [],
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            ],
            "openTo": "Everyone",
            "accessConditions": "Have an account on the Mesocentre UCA computing cluster (make a request if necessary on the site https://hub.mesocentre.uca.fr)\r\nAlternation of theoretical courses and practical work.\r\nCOME WITH A LAPTOP with an operational Eduroam connection.\r\nThe training is in French.",
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            "id": 642,
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                "http://edamontology.org/topic_0121",
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            "updated_at": "2024-11-22T09:55:01.514886Z",
            "type": "Workshop",
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            "end_date": "2024-11-21",
            "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",
            "city": "",
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            "registration_closing": null,
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            "id": 783,
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            "description": "Objectifs pédagogiques\r\nA l’issue de la formation, les stagiaires connaîtront les principales fonctionnalités du logiciel PyMOL. Ils seront capables de les appliquer pour visualiser leur système biologique d’intérêt, et d’effectuer des commandes basiques d’identification de poches catalytiques, de profilage de surface électrostatique, et de mutations d’acides aminés.\r\n\r\nAussi, ils connaîtront les bases et les outils de bioinformatique structurale et seront autonomes pour effectuer des modèles de protéines par prédiction (Alphafold2), calculer les meilleures poses de fixation de leur(s) ligand(s) (Autodock4) et reconstruire l’éventuel assemblage biologique.\r\n\r\nBonus : Ils s’approprieront ces outils avec une demi-journée dédiée à la modélisation de leur système d’étude : protéines, interactions protéines/ADN, arrimage de ligand, etc.\r\n\r\nProgramme\r\nVisualiser :\r\n* Maîtriser les bases de la visualisation des protéines en 3D avec PyMOL.\r\nComprendre :\r\n* Analyser des structures 3D de protéines (RX ou RMN).\r\n* Identifier des homologues avec HHpred.\r\n* Modéliser par prédiction sa protéine d’intérêt avec Alphafold2.\r\nPrédire :\r\n* Savoir calculer des meilleures poses de ligands avec Autodock.\r\n* Prédir et modéliser les mutations in silico.\r\n\r\n- Points forts et limites des différents outils\r\n- ️“hand- on tutorials”\r\n- Plus une session dédiée : «bring your own protein»",
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                "2D/3D",
                "Protein/protein interaction modelisation"
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            "id": 612,
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            "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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            "updated_at": "2024-03-26T14:25:27.655655Z",
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            "venue": "",
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