Handles creating, reading and updating events.

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            "description": "This training session, organized jointly with the Sigenae platform, is designed to introduce NGS data, in particular Illumina Solexa technologies with command line. You will discover the new sequence formats, the assembly formats and the known biases of these technologies. You will use mapping on reference genome software, polymorphisms detection with the GATK pipeline and alignment visualization software.\r\n\r\nThis training is focused on the practice. It consists of modules with a large variety of exercises:\r\n\r\nDay 1 (09:00 am to 12:30 am): Fastq format / Sequence quality. Read mapping.\r\nDay 1 (14:00 pm to 17:00 pm): SAM format. Visualisation.\r\nDay 2 (09:00 am to 17:00 am): Variant calling. VCF format. Variant annotation (SNPeff / SNPsift).\r\n \r\nThe session will take place in the room ‘salle de formation’ at INRAE center of Toulouse-Auzeville.\r\n\r\nPrerequisites: ability to use a Unix environment (see Unix training) and Cluster (see Cluster training).\r\n \r\nTool box: FastQC, BWA, Samtools, Picard tools, GATK, SnpSift / SnpEff, IGV.",
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            "description": "L’objectif de cette formation est de se familiariser avec les premières étapes communes à toutes les analyses de données de séquençage : le contrôle qualité des données et l’alignement sur un génome de référence. Nous proposons au personnel non-bioinformaticien de les accompagner dans la prise en main des ces étapes d’analyses en utilisant la plateforme de bio-analyse Galaxy. \r\n\r\nAprès une introduction aux données de séquençage, une session pratique sur la plateforme Galaxy couvrira comment :\r\n- évaluer la qualité de données de séquençage,\r\n- améliorer la qualité de données de séquençage\r\n- aligner des données sur un génome de référence\r\n\r\nLes inscriptions se font via le formulaire suivant avant le 28 Février 2024 : https://framaforms.org/cycle-de-formations-mensuelles-a-lanalyse-de-donnees-sur-galaxy-1707229580\r\nDans ce formulaire, vous pouvez sélectionner les sessions qui vous intéressent. Nous sélectionnerons les participants sur la base du \"premier arrivé, premier servi\" et nous transmettrons la liste par session au service de formation continue de l'UCA qui vous enverra ensuite une convocation.",
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            "description": "L’objectif est cette formation de se familiariser avec les étapes et les outils pour annoter des génomes bactériens. Nous proposons au personnel non-bioinformaticien de les accompagner dans la prise en main de l’annotation de génomes bactériens en utilisant la plateforme de bio-analyse Galaxy. \r\n\r\nAprès une introduction à l’annotation de génomes bactériens, une session pratique sur la plateforme Galaxy couvrira comment :\r\n- faire tourner une série d’outils pour annoter un génome bactérien avec différents éléments génomiques,\r\n- évaluer l’annotation\r\n- visualiser un génome bactérien et ses annotations\r\n\r\nLes inscriptions se font via le formulaire suivant avant le 28 Février 2024 : https://framaforms.org/cycle-de-formations-mensuelles-a-lanalyse-de-donnees-sur-galaxy-1707229580\r\nNous sélectionnerons les participants sur la base du \"premier arrivé, premier servi\" et nous transmettrons la liste par session au service de formation continue de l'UCA qui vous enverra ensuite une convocation.",
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            ],
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            "updated_at": "2023-05-17T09:26:47.718424Z",
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            "updated_at": "2023-05-17T09:55:11.578705Z",
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            "description": "Many analysis generate large result text files which have to be checked, merged, split, reduced. Several tools have been developed and are available on Unix to do this, including sed and AWK. During this course you will be trained to process large files with sed and AWK. Sed is tool enabling to select and process lines. You can easily insert, delete, modify, append lines to very large files with millions of lines. AWK will enable to perform more fine tuned file modifications based on columns. It includes also more mathematical and string functions.  The course is based mainly on exercises with small sections presenting concepts and commands.",
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            "end_date": "2025-03-13",
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        {
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            "description": "Objectifs pédagogiques\r\nCette formation est dédiée à l’analyse de données textuelles (text-mining). L’objectif est l’acquisition des principales techniques pour la Reconnaissance d’Entités Nommées (REN) à partir de textes. Les entités nommées étudiées dans cette formation sont des objets ou concepts d’intérêts mentionnés dans les articles scientifiques ou les champs en texte libre (taxons, gènes, protéines, marques, etc.).\r\n\r\nLes participants vont acquérir les compétences pratiques nécessaires pour effectuer de façon autonome une première approche pour une application de text-mining. Le format est celui de Travaux Pratiques utilisant AlvisNLP, un outil pour la création de pipelines en text-mining développé par l’équipe Bibliome de l’unité MaIAGE. La formation s’adresse à des chercheurs et ingénieurs en (bio)-informatique ou en maths-info-stats appliquées\r\n\r\nProgramme\r\n* Présentation du text-mining et de la Reconnaissance des Entités Nommées (REN)\r\n* Travaux Pratiques sur des techniques de REN en utilisant AlvisNLP\r\n* Projection de lexiques\r\n* Application de patrons\r\n* Apprentissage automatique",
            "homepage": "https://documents.migale.inrae.fr/trainings.html",
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                "http://edamontology.org/topic_3474"
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            "updated_at": "2024-01-18T14:58:57.757098Z",
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            "end_date": "2024-06-13",
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                    "name": "Genotoul-bioinfo",
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            ],
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                "Biodiversity",
                "NGS Data Analysis"
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            ],
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                    "id": 82,
                    "name": "INRAE",
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                },
                {
                    "id": 85,
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            ],
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                    "name": "South Green",
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            ],
            "logo_url": "https://southgreenplatform.github.io/trainings/images/logo_southgreen_carre_6577134.png",
            "updated_at": "2024-03-11T13:17:13.095567Z",
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            "start_date": "2024-03-04",
            "end_date": "2024-03-08",
            "venue": "",
            "city": "Montpellier",
            "country": "France",
            "geographical_range": "International",
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            "registration_closing": "2024-02-09",
            "registration_status": "closed",
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        },
        {
            "id": 602,
            "name": "Environments and best practices for using the BiRD cluster",
            "shortName": "Best practices BiRD cluster",
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            "homepage": "https://pf-bird.univ-nantes.fr/training/cluster/",
            "is_draft": false,
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            ],
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            "keywords": [],
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            ],
            "openTo": "Everyone",
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            ],
            "logo_url": "https://bird.univ-nantes.io/website/images/logo/logo.svg",
            "updated_at": "2024-02-19T09:37:24.789207Z",
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            "venue": "",
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            "country": "",
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        {
            "id": 676,
            "name": "Initiation à Galaxy - session Février 2024",
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            "description": "Bilille organise régulièrement des formations d'initiation à l'outil Galaxy d'une journée, destinée aux biologistes et médecins désirant découvrir le traitement bioinformatique de données via une interface conviviale.\r\n\r\nGalaxy est très répandu pour l’analyse de données omiques, telles que données de séquençage ou données de puces à ADN. \r\nC'est l'environnement qui est utilisé lors du cycle de formation “Analyse de données de séquençage à haut-débit”.",
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            "is_draft": false,
            "costs": [
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            ],
            "topics": [],
            "keywords": [
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            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "Ouvert en priorité aux participants du cycle Analyse NGS organisé par Bilille.",
            "maxParticipants": null,
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            ],
            "logo_url": "https://bilille.univ-lille.fr/fileadmin/_processed_/9/2/csm_logo_bilille_complet_65be9bda8b.png",
            "updated_at": "2024-12-09T17:34:40.543451Z",
            "type": "Training course",
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            "end_date": "2024-02-21",
            "venue": "",
            "city": "Villeneuve d'Ascq",
            "country": "FRANCE",
            "geographical_range": "",
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            "registration_closing": "2024-01-19",
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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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            ],
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            "keywords": [
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                "Biodiversity",
                "NGS Data Analysis"
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            "prerequisites": [
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            ],
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            ],
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                    "id": 82,
                    "name": "INRAE",
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                },
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                    "id": 85,
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                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IRD/?format=api"
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            ],
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                    "id": 24,
                    "name": "South Green",
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            ],
            "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",
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            "country": "Madagascar",
            "geographical_range": "",
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        {
            "id": 606,
            "name": "5th workshop Single-Cell : Transcriptomics, Spatial and Long reads",
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            "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=27",
            "is_draft": false,
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            "topics": [],
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                "Autre (Diplôme universitaire, école d'ingénieur ...)"
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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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