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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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            "venue": "Institut des Systèmes Complexes\r\n113 rue Nationale 75013\r\nParis\r\nMétros : Olympiades (L14) ou Nationale (L6)\r\nStation Vélib : place Nationale.",
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            "description": "En matière de prospectives scientifiques, l’INSU OA, le CNRS et l’IRD ambitionnent de caractériser la biodiversité environnementale afin d’étudier l’impact du changement global sur les milieux et de l’anthropisation de la planète. Ces enjeux nécessitent l’acquisition de connaissances sur la biodiversité pour répondre aux grands défis planétaires (e.g. modéliser, anticiper, prévenir les catastrophes écologiques), aux objectifs de développement durable, et contribuer aux grandes transitions de la société dans un contexte de changement climatique.\r\n\r\nLe metabarcoding est aujourd’hui une des approches incontournable dans la description des écosystèmes pour répondre à ces enjeux scientifiques; elle offre une caractérisation exhaustive de la diversité taxonomique (composition en espèces et abondances) d’un écosystème via le séquençage massif de marqueurs d’intérêts (e.g. ARN ribosomaux 16S, 18S, gène COX, …) et le post-traitement bio-informatique des données générées.\r\n\r\nL’Action Nationale de Formation CNRS-INSU MetaBioDiv, portée par l’Institut Méditerranéen d’Océanologie (Armougom F., MIO) et la Délégation Régionale Côte d’Azur CNRS (DR20, Pierrette Finsac), propose à la communauté scientifique une formation sur la caractérisation de la biodiversité taxonomique d’écosystèmes (procaryotes et micro-eucaryotes) par le prisme du séquençage haut-débit Illumina (Miseq) et du traitement bio-informatique associé (outils R sous Rstudio).",
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            "venue": "Village Club les Miléades",
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            "description": "The ever growing usage of high throughput technologies in Biology is revolutionizing the life sciences and profoundly changing its practices. Scripting languages are used on a daily basis in life science labs in order to mine huge data sets produced by high-throughput devices. This two-week course will give participants basic knowledge in python and state-of-the-art machine learning methods to analyze their own data sets.\r\nDescription:\r\nThis course is intended for PhD students, engineers and research scientists willing to acquire knowledge in scientific programming. Throughout the course, we will use Python language to lead participants from the basics of computer programming to more advanced techniques such as practical machine learning techniques.",
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            "logo_url": null,
            "updated_at": "2022-11-14T16:43:03.315741Z",
            "type": "Training course",
            "start_date": "2022-11-21",
            "end_date": "2022-11-24",
            "venue": "",
            "city": "",
            "country": "France",
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        },
        {
            "id": 486,
            "name": "11ème Ecole de Bioinformatique AVIESAN-IFB-Inserm",
            "shortName": "EBAII 2022",
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                "NGS Sequencing Data Analysis"
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                    "id": 4,
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                    "id": 14,
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                    "url": "https://catalogue.france-bioinformatique.fr/api/team/BiGEst/?format=api"
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                    "id": 4,
                    "name": "ABiMS",
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                    "id": 29,
                    "name": "IFB Core",
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            "logo_url": null,
            "updated_at": "2023-05-17T09:56:27.318517Z",
            "type": "Training course",
            "start_date": "2022-11-13",
            "end_date": "2022-11-18",
            "venue": "",
            "city": "Roscoff",
            "country": "France",
            "geographical_range": "",
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            "registration_opening": "2022-01-19",
            "registration_closing": "2022-05-31",
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        },
        {
            "id": 604,
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            "shortName": "",
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            "homepage": "https://galaxyproject.org/events/2024-03-11-hackathon-galaxy-resources-annotation/#preliminary-schedule",
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            "costs": [
                "Free"
            ],
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                "http://edamontology.org/topic_3941",
                "http://edamontology.org/topic_3174"
            ],
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                "Galaxy"
            ],
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                    "id": 87,
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                    "name": "IFB - ELIXIR-FR",
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            "updated_at": "2024-02-19T10:09:50.076964Z",
            "type": "Workshop",
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            "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",
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        {
            "id": 503,
            "name": "NGS data analysis on the command line - session 4",
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            ],
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                "http://edamontology.org/topic_3168",
                "http://edamontology.org/topic_2269",
                "http://edamontology.org/topic_0102"
            ],
            "keywords": [],
            "prerequisites": [
                "none"
            ],
            "openTo": "Internal personnel",
            "accessConditions": "This training is dedicated to academics working in a laboratory of Unistra/CNRS.",
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                    "id": 79,
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            ],
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                    "name": "BiGEst",
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            ],
            "logo_url": null,
            "updated_at": "2022-11-28T14:04:22.544121Z",
            "type": "Training course",
            "start_date": "2022-03-31",
            "end_date": "2022-04-04",
            "venue": "",
            "city": "Strasbourg",
            "country": "France",
            "geographical_range": "",
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            "realisation_status": "past",
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            "registration_closing": null,
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        },
        {
            "id": 441,
            "name": "Introduction to Oxford Nanopore Technology data analyses - 2021 - session 09/28-30",
            "shortName": "Introduction to ONT data analyses - 2021 - session 09/28-30",
            "description": "This course offers an introduction to ONT data analysis. It includes 5 issues: basecalling, reads quality control, assemblies and polishing/correction, contig quality and structural variants detection.",
            "homepage": "https://southgreenplatform.github.io/trainings//ont/",
            "is_draft": false,
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                "Free"
            ],
            "topics": [
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                "http://edamontology.org/topic_0196",
                "http://edamontology.org/topic_3168"
            ],
            "keywords": [],
            "prerequisites": [
                "Linux and knowledge of NGS formats"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
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            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2021-09-28",
            "end_date": "2021-09-30",
            "venue": "",
            "city": "Montpellier",
            "country": "France",
            "geographical_range": "Local",
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            ],
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            ],
            "computingFacilities": [],
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        },
        {
            "id": 477,
            "name": "Cluster - session 2022/10/11",
            "shortName": "",
            "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.",
            "homepage": "http://bioinfo.genotoul.fr/index.php/events/cluster-2/",
            "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": [],
            "keywords": [
                "Linux",
                "Cluster"
            ],
            "prerequisites": [
                "Linux - Basic Knowledge"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 10,
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                "https://catalogue.france-bioinformatique.fr/api/userprofile/300/?format=api"
            ],
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                {
                    "id": 22,
                    "name": "Genotoul-bioinfo",
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                }
            ],
            "logo_url": null,
            "updated_at": "2023-05-17T10:14:33.722250Z",
            "type": "Training course",
            "start_date": "2022-10-11",
            "end_date": "2022-10-11",
            "venue": "",
            "city": "Castanet Tolosan",
            "country": "France",
            "geographical_range": "",
            "trainers": [],
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            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2022-03-08",
            "registration_closing": "2022-10-04",
            "registration_status": "closed",
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        },
        {
            "id": 467,
            "name": "Formation IFB Science Ouverte & PGD - Comment gérer des jeux de données haut-débit en sciences de la vie et de la santé - édition Strasbourg - Session 1 (mars 2022)",
            "shortName": "IFB-SO-PGD-Strasbourg-mars2022",
            "description": "Cette formation, à destination de bioinformaticiens et biologistes, présente les principes FAIR de gestions de données dans un projet de bioinformatique ou de biologie.Elle aborde les différents points fondamentaux (théoriques, pratiques, juridiques) en lien avec la politique nationale d’ouverture des données de la recherche et présente sous forme de séances pratiques les ressources nationales accessibles à la communauté scientifique ainsi que les solutions proposées pour gérer les données d’un projet de recherche.",
            "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=10",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [],
            "prerequisites": [
                "none"
            ],
            "openTo": "Everyone",
            "accessConditions": "This training is dedicated for academics in Strasbourg area",
            "maxParticipants": 12,
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                "https://catalogue.france-bioinformatique.fr/api/userprofile/124/?format=api"
            ],
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                    "id": 79,
                    "name": "IBMP",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IBMP/?format=api"
                },
                {
                    "id": 84,
                    "name": "ICube",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/ICube/?format=api"
                },
                {
                    "id": 83,
                    "name": "IGBMC",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IGBMC/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 14,
                    "name": "BiGEst",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/BiGEst/?format=api"
                }
            ],
            "logo_url": null,
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2022-03-23",
            "end_date": "2022-03-24",
            "venue": "IGBMC\r\n1 Rue Laurent Fries\r\n67400 Illkirch-Graffenstaden",
            "city": "Illkirch Graffenstaden",
            "country": "France",
            "geographical_range": "Local",
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                "https://catalogue.france-bioinformatique.fr/api/userprofile/655/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/563/?format=api"
            ],
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            "realisation_status": "past",
            "registration_opening": "2021-12-01",
            "registration_closing": "2022-03-06",
            "registration_status": "closed",
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        },
        {
            "id": 400,
            "name": "Diplôme Universitaire en Bioinformatique Intégrative - session  2020 / University Diploma in Integrative Bioinformatics - 2020 session",
            "shortName": "DUBii 2020",
            "description": "La bioinformatique est devenue une compétence incontournable pour l'analyse de données de nature diverse : génomes, transcriptomes, protéomes, métabolomes, structures macromoléculaires, réseaux d'interactions. L'appropriation par les biologistes des méthodes et outils de biostatistique et bioinformatique intégrative est un enjeu majeur pour la montée en compétence des équipes de recherche et des plateformes de service. L'université Paris Diderot propose en partenariat avec l'Institut Français de Bioinformatique (IFB) la deuxième édition du Diplôme Universitaire en Bioinformatique intégrative (DU-Bii). Cette formation s’adresse en priorité à des biologistes en demande d'évolution ou de reconversion professionnelle ayant déjà acquis des compétences (formation courte, autoapprentissage, expérience de terrain) en informatique ou bioinformatique/biostatistique (environnement Unix, Python ou R ou autre langage de programmation). Les prérequis sont décrits sur le portail “DU” de l’université Paris Diderot, qui présente le DU-Bii et le DU complémentaire \"Création, Analyse et Valorisation de données omiques\" (DUO) : voir la page dédiée. Le DU-Bii fournira une formation théorique et pratique, complétée par une période d'immersion sur l'une des plateformes régionales de l'IFB, qui mobilisera, dans le cadre d'un projet tutoré, l'ensemble des méthodes et outils appris durant les cours pour réaliser un projet personnel de bioinformatique intégrative. Ce projet combinera des données propres à chaque participant produites dans son laboratoire (principe BYOD : “Bring Your Own Data”) ou collectées à partir de bases de données publiques. Cette formation se déroulera pendant 8 semaines réparties entre : Les cours : 4 semaines à raison de 4 jours/semaine en présentiel (96h) du 2 mars au 2 avril 2020 avec 1 semaine de césure la semaine 12). Le projet tutoré : 20 jours sur l'une des plateformes bioinformatique de l'IFB, à répartir entre le 6 avril et le 19 juin 2020.\r\nRenseignements et candidatures : fcsdv@univ-paris-diderot.fr\r\nInscriptions : voir la page page du DU-Bii de l'Université Paris Diderot\r\nContacts Paris-Diderot : Bertrand.Cosson@univ-paris-diderot.fr \r\nContacts IFB : Helene.Chiapello@inra.fr, Jacques.van-Helden@univ-amu.fr",
            "homepage": "https://ressources.france-bioinformatique.fr/fr/diplome-universitaire-en-bioinformatique-integrative-du-bii-2020",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
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            "keywords": [],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 15,
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                    "id": 28,
                    "name": "University Paris-Cité",
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                },
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                    "id": 4,
                    "name": "IFB - ELIXIR-FR",
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            ],
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            "logo_url": null,
            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2020-03-02",
            "end_date": "2020-11-18",
            "venue": "Université Paris Diderot",
            "city": "Paris",
            "country": "France",
            "geographical_range": "National",
            "trainers": [],
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            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": "2019-11-05",
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        },
        {
            "id": 704,
            "name": "Mathematical and Computational Evolutionary Biology (MCEB)",
            "shortName": "MCEB",
            "description": "MCEB will take place in Granada, Spain for its 2025 edition. The meeting will put the emphasis on methods and models for phylogenomics and population genomics. Beyond this year's themes, general concepts, models, methods and algorithms will be presented and discussed, just as in the previous editions of MCEB. As usual, the meeting will bring together researchers originating from various disciplines: mathematics, statistics, computer science, phylogenetics, population genetics, molecular epidemiology, biodiversity and macroevolution... Keynote speakers will\r\nintroduce a field of research and discuss their own work in this field. Afternoon will be for short presentations and posters, with plenty of time for discussions. We will stop early every day, thus leaving time for other activities.\r\n\r\nKEYNOTES:\r\n** Sophie Abby - \"Evolution of biosynthetic pathways in Bacteria\"\r\n** Richard Durbin - \"Population genome variation – going beyond SNPs\"\r\n** Lisa Pokorny Montero - \"Genomic approaches to the study of plant evolution\"\r\n** Harald Ringbauer - \"Advanced ancient DNA analysis\"\r\n** Kristina Wicke - \"Inference of phylogenetic networks\"\r\n** Jaime Huerta-Cepas - \"Evolutionary significance of unknown microbial genes\"",
            "homepage": "https://mceb2025.sciencesconf.org/",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [
                "http://edamontology.org/topic_3056",
                "http://edamontology.org/topic_3050",
                "http://edamontology.org/topic_3293",
                "http://edamontology.org/topic_2269"
            ],
            "keywords": [
                "Biostatistics",
                "Biodiversity",
                "Evolution and Phylogeny",
                "Phylogenetics"
            ],
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