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            "registration_closing": "2025-04-07",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 606,
            "name": "5th workshop Single-Cell : Transcriptomics, Spatial and Long reads",
            "shortName": "5th SincellTE",
            "description": "This workshop focuses on the large-scale study of heterogeneity across individual cells from a genomic, transcriptomic and epigenomic point of view. New technological developments enable the characterization of molecular information at a single cell resolution for large numbers of cells. The high dimensional omics data that these technologies produce raise novel methodological challenges for the analysis. In this regard, dedicated bioinformatics and statistical methods have been developed in order to extract robust information.\r\n\r\nThe workshop aims to provide such methods for engineers and researchers directly involved in functional genomics projects making use of single-cell technologies. A wide range of single cell topics will be covered in lectures, demonstrations and practical classes. Among others, the areas and issues to be addressed will include the choice of the most appropriate single-cell sequencing technology, the experimental design and the bioinformatics and statistical methods and pipelines. For this edition, new courses/practicals will focus on spatial transcriptomics, cell phenotyping and additional multi-omics.\r\n\r\nA wide range of single cell topics will be covered in lectures, demonstrations and practical classes. Among others, the areas and issues to be addressed will include the choice of the most appropriate single-cell sequencing technology, the experimental design and the bioinformatics and statistical methods and pipelines. For this edition, new courses/practicals will focus on spatial transcriptomics, cell phenotyping and additional multi-omics.\r\n\r\nRequirements : Participants must have prior experience on NGS data analysis  with everyday use of R and good knowledge of Unix command line. Before the training, participants will be asked to familiarize themselves with the processing and primary analyses steps of scRNA-seq datasets with provided pedagogic material.\r\n\r\nIt is not necessary to have personal single-cell data to analyse.\r\n\r\nAll the classes will be taught in English",
            "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=27",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "Single-Cell Sequencing",
                "long read sequencing",
                "spatial transcriptomics"
            ],
            "prerequisites": [
                "Master",
                "Autre (Diplôme universitaire, école d'ingénieur ...)"
            ],
            "openTo": "Everyone",
            "accessConditions": "Participants must have prior experience on NGS data analysis with everyday use of R and/or Python and good knowledge of Unix command line. Before the training, participants are advised to familiarize themselves with the processing and primary analyses steps of scRNA-seq datasets. \r\nIt is not necessary to have personal single-cell data to analyse.",
            "maxParticipants": 30,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 48,
                    "name": "Institut Pasteur",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Institut%20Pasteur/?format=api"
                },
                {
                    "id": 4,
                    "name": "IFB - ELIXIR-FR",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api"
                }
            ],
            "organisedByTeams": [],
            "logo_url": "https://github.com/IFB-ElixirFr/Training/blob/main/logo_sincellte.png?raw=true",
            "updated_at": "2024-03-20T16:00:20.423462Z",
            "type": "Training course",
            "start_date": "2024-10-20",
            "end_date": "2024-10-25",
            "venue": "Station Biologique",
            "city": "Roscoff",
            "country": "France",
            "geographical_range": "International",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2024-03-12",
            "registration_closing": "2024-05-07",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 737,
            "name": "H2020-AGENT Datathon on experimental phenotypic data management using the FAIRDOM platform - 2022",
            "shortName": "FAIRDOM 2022",
            "description": "Datathon on experimental phenotypic data management using the FAIRDOM platform, and submission workflow using curation & validation tools.",
            "homepage": "https://urgi.versailles.inrae.fr/fairdom/events/1",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [
                "http://edamontology.org/topic_3572",
                "http://edamontology.org/topic_3365",
                "http://edamontology.org/topic_3366",
                "http://edamontology.org/topic_0625",
                "http://edamontology.org/topic_0780",
                "http://edamontology.org/topic_0091",
                "http://edamontology.org/topic_3571"
            ],
            "keywords": [
                "Données"
            ],
            "prerequisites": [
                "Attendees will bring their own data"
            ],
            "openTo": "Internal personnel",
            "accessConditions": "For H2020-AGENT project members only",
            "maxParticipants": null,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/504/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/8/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/755/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [
                {
                    "id": 21,
                    "name": "H2020-AGENT",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/H2020-AGENT/?format=api"
                }
            ],
            "organisedByOrganisations": [
                {
                    "id": 82,
                    "name": "INRAE",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api"
                },
                {
                    "id": 39,
                    "name": "URGI - US1164",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/URGI%20-%20US1164/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 26,
                    "name": "URGI",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/URGI/?format=api"
                }
            ],
            "logo_url": "https://urgi.versailles.inra.fr/extension/inra/design/urgi/images/logoURGI_res72_2-82X1-98.png",
            "updated_at": "2025-09-13T13:27:15.246574Z",
            "type": "Training course",
            "start_date": "2022-04-11",
            "end_date": "2022-04-13",
            "venue": "",
            "city": "Versailles",
            "country": "France",
            "geographical_range": "International",
            "trainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/755/?format=api"
            ],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": "Blended"
        },
        {
            "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": [
                "http://edamontology.org/topic_0797",
                "http://edamontology.org/topic_3810",
                "http://edamontology.org/topic_3056",
                "http://edamontology.org/topic_0780"
            ],
            "keywords": [
                "Phylogeny",
                "Biodiversity",
                "NGS Data Analysis"
            ],
            "prerequisites": [
                "Basic knowledge of R"
            ],
            "openTo": "Everyone",
            "accessConditions": "Inscription via un formulaire Moodle",
            "maxParticipants": 50,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/781/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 85,
                    "name": "IRD",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IRD/?format=api"
                },
                {
                    "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": [
                {
                    "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",
            "courseMode": "Onsite"
        },
        {
            "id": 532,
            "name": "Summer School Multi-omics Data Analysis and Integration",
            "shortName": "",
            "description": "Researchers often have access to or generate multiple omics data (RNAseq, metabolomics, lipidomics, proteomics…) within a single study. Although each omics data is usually analyzed individually, combining complementary data can yield a better understanding of the mechanisms involved in biological processes. Several integrative approaches are now available to combine such data, coming essentially from two families of methods, namely multivariate statistical analyses and network-based approaches. During this summer school both methodologies will be covered, introducing RGCCA and mixOmics for multivariate analyses and WGCNA and SNF for network-based strategies. To get meaningful biological information, the interpretation of statistical results needs to be done contextualizing them in the available biological knowledge. To address this major step we need to be able to access and interrogate databases. We will harness this subject introducing semantic web and knowledge graphs in the context of metabolic networks.\r\n\r\nDuring the School, significant time will be devoted to hands-on and the program will be divided into three phases / topics:\r\n- Multivariate statistical analyses (Instructors: Arnaud Gloaguen & Jimmy Vandel)\r\n- Network-based approaches (Instructors: Morgane Térézol & Marie-Galadriel Brière)\r\n- Results contextualisation: an introduction to metabolic models, web semantic and knowledge graphs (Instructors: Jean-Clément Gallardo, Maxime Delmas & Marco Pagni)\r\n\r\nThe participants will work in groups and shortly present the application of what they have learned to their own project.",
            "homepage": "https://www.sib.swiss/training/course/20230903_MODAI",
            "is_draft": false,
            "costs": [
                "650 EUR/CHF for academics",
                "1000 EUR/CHF for for-profit companies"
            ],
            "topics": [
                "http://edamontology.org/topic_0602",
                "http://edamontology.org/topic_2269",
                "http://edamontology.org/topic_0089"
            ],
            "keywords": [
                "Biological network inference and analysis",
                "Multivariate analyses",
                "Semantic web",
                "Knowledge representation"
            ],
            "prerequisites": [
                "experience with at least one omic technique",
                "basic statistics",
                "R programming"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/768/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/556/?format=api"
            ],
            "elixirPlatforms": [
                {
                    "id": 1,
                    "name": "Training",
                    "url": "https://catalogue.france-bioinformatique.fr/api/elixirplatform/Training/?format=api"
                }
            ],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 100,
                    "name": "SIB",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/SIB/?format=api"
                },
                {
                    "id": 4,
                    "name": "IFB - ELIXIR-FR",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api"
                }
            ],
            "organisedByTeams": [],
            "logo_url": "https://www.sib.swiss/training/images/sib_logo.svg",
            "updated_at": "2023-05-17T08:59:43.914253Z",
            "type": "Training course",
            "start_date": "2023-09-03",
            "end_date": "2023-09-08",
            "venue": "Centre de Vacances et Colloques Paul Langevin",
            "city": "Aussois",
            "country": "France",
            "geographical_range": "International",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2023-04-23",
            "registration_closing": "2023-06-01",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 734,
            "name": "Webinar on Plant Data Management - 2021",
            "shortName": "MIAPPE 2020",
            "description": "The Minimal Information About Plant Phenotyping Experiments (MIAPPE, www.miappe.org) standard has been designed by ELIXIR, EMPHASIS and Bioversity international to guide plant scientist in the management of experimental data. Furthermore, since genetic studies relies on the integration and the linking between phenotype and genotype datasets, relevant section of MIAPPE are beginning to be used for genotyping standards.\r\nThis formation will cover a general introduction of the MIAPPE principles and some examples to illustrate different use cases on the usage of MIAPPE for plant phenotyping data standardization.",
            "homepage": "https://urgi.versailles.inrae.fr/About-us/News/Webinar-rep-pheno",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [
                "http://edamontology.org/topic_3572",
                "http://edamontology.org/topic_3298",
                "http://edamontology.org/topic_0625",
                "http://edamontology.org/topic_0219",
                "http://edamontology.org/topic_0780"
            ],
            "keywords": [
                "Données"
            ],
            "prerequisites": [
                "none"
            ],
            "openTo": "Everyone",
            "accessConditions": "Public",
            "maxParticipants": null,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/504/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 39,
                    "name": "URGI - US1164",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/URGI%20-%20US1164/?format=api"
                },
                {
                    "id": 82,
                    "name": "INRAE",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 26,
                    "name": "URGI",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/URGI/?format=api"
                }
            ],
            "logo_url": "https://urgi.versailles.inra.fr/extension/inra/design/urgi/images/logoURGI_res72_2-82X1-98.png",
            "updated_at": "2025-11-28T13:21:44.473980Z",
            "type": "Training course",
            "start_date": "2021-04-02",
            "end_date": "2021-04-02",
            "venue": "",
            "city": "",
            "country": "",
            "geographical_range": "International",
            "trainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/504/?format=api"
            ],
            "trainingMaterials": [
                {
                    "id": 150,
                    "name": "Plant Data Managment for Phenotyping Experiments - MIAPPE",
                    "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Plant%20Data%20Managment%20for%20Phenotyping%20Experiments%20-%20MIAPPE/?format=api"
                }
            ],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": "Online"
        },
        {
            "id": 733,
            "name": "Webinar on Plant Data Management - 2020",
            "shortName": "MIAPPE 2020",
            "description": "The Minimal Information About Plant Phenotyping Experiments (MIAPPE, www.miappe.org) standard has been designed by ELIXIR, EMPHASIS and Bioversity international to guide plant scientist in the management of experimental data. Furthermore, since genetic studies relies on the integration and the linking between phenotype and genotype datasets, relevant section of MIAPPE are beginning to be used for genotyping standards.\r\nThis formation will cover a general introduction of the MIAPPE principles and some examples to illustrate different use cases on the usage of MIAPPE for plant phenotyping data standardization.",
            "homepage": "https://urgi.versailles.inrae.fr/About-us/News/Webinar-data-17-dec",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [
                "http://edamontology.org/topic_3572",
                "http://edamontology.org/topic_3298",
                "http://edamontology.org/topic_0625",
                "http://edamontology.org/topic_0219",
                "http://edamontology.org/topic_0780"
            ],
            "keywords": [
                "Données"
            ],
            "prerequisites": [
                "none"
            ],
            "openTo": "Everyone",
            "accessConditions": "Public",
            "maxParticipants": null,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/504/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 39,
                    "name": "URGI - US1164",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/URGI%20-%20US1164/?format=api"
                },
                {
                    "id": 82,
                    "name": "INRAE",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 26,
                    "name": "URGI",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/URGI/?format=api"
                }
            ],
            "logo_url": "https://urgi.versailles.inra.fr/extension/inra/design/urgi/images/logoURGI_res72_2-82X1-98.png",
            "updated_at": "2025-11-28T13:21:56.421683Z",
            "type": "Training course",
            "start_date": "2020-12-17",
            "end_date": "2020-12-17",
            "venue": "",
            "city": "",
            "country": "",
            "geographical_range": "International",
            "trainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/504/?format=api"
            ],
            "trainingMaterials": [
                {
                    "id": 150,
                    "name": "Plant Data Managment for Phenotyping Experiments - MIAPPE",
                    "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Plant%20Data%20Managment%20for%20Phenotyping%20Experiments%20-%20MIAPPE/?format=api"
                }
            ],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": "Online"
        },
        {
            "id": 727,
            "name": "WheatIS data discovery - 2020",
            "shortName": "WheatIS Search 2020",
            "description": "The WheatIS project aims at building an International Wheat Information System to support the wheat research community. The main objective is to provide a single-access web base system to access to the available data resources and bioinformatics tools. The project is endorsed by the Wheat Initiative.\r\nThe WheatIS data discovery tool allows to search data in all the wheat resources around the world.\r\nThis training will describe how to use the tool, what data are available, how to join, etc.",
            "homepage": "https://urgi.versailles.inrae.fr/About-us/News/WheatIS-webinar",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [
                "http://edamontology.org/topic_3366",
                "http://edamontology.org/topic_0625",
                "http://edamontology.org/topic_3489",
                "http://edamontology.org/topic_0780",
                "http://edamontology.org/topic_0091"
            ],
            "keywords": [
                "Données"
            ],
            "prerequisites": [
                "none"
            ],
            "openTo": "Everyone",
            "accessConditions": "Public",
            "maxParticipants": null,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/8/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/224/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [
                {
                    "id": 20,
                    "name": "Wheat Initiative",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Wheat%20Initiative/?format=api"
                }
            ],
            "organisedByOrganisations": [
                {
                    "id": 82,
                    "name": "INRAE",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 26,
                    "name": "URGI",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/URGI/?format=api"
                }
            ],
            "logo_url": "https://urgi.versailles.inra.fr/extension/inra/design/urgi/images/logoURGI_res72_2-82X1-98.png",
            "updated_at": "2025-09-11T13:39:53.516064Z",
            "type": "Training course",
            "start_date": "2020-02-25",
            "end_date": "2020-02-25",
            "venue": "",
            "city": "",
            "country": "",
            "geographical_range": "International",
            "trainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/8/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/224/?format=api"
            ],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": "Online"
        },
        {
            "id": 643,
            "name": "Artificial Intelligence and Machine Learning in Life Sciences: from foundations to applications 2025",
            "shortName": "AI & ML in LS 2025",
            "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.",
            "homepage": "https://moodle.france-bioinformatique.fr/enrol/index.php?id=34",
            "is_draft": false,
            "costs": [],
            "topics": [
                "http://edamontology.org/topic_3474",
                "http://edamontology.org/topic_0091"
            ],
            "keywords": [
                "Artificial Intelligence",
                "Machine learning",
                "Python"
            ],
            "prerequisites": [
                "Intermediate Python programming",
                "Machine Learning basics",
                "Data analysis"
            ],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": 30,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/810/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/762/?format=api"
            ],
            "elixirPlatforms": [
                {
                    "id": 1,
                    "name": "Training",
                    "url": "https://catalogue.france-bioinformatique.fr/api/elixirplatform/Training/?format=api"
                }
            ],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "https://www.dissco.eu/wp-content/uploads/Elixir-Europe-logo-1-300x226.png",
            "updated_at": "2024-12-19T15:43:33.918124Z",
            "type": "Training course",
            "start_date": "2025-05-19",
            "end_date": "2025-05-23",
            "venue": "CAES Centre Paul-Langevin",
            "city": "Aussois",
            "country": "France",
            "geographical_range": "International",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2024-12-18",
            "registration_closing": "2025-01-24",
            "registration_status": "closed",
            "courseMode": "Onsite"
        },
        {
            "id": 732,
            "name": "Training Workshop on Phenotyping Data Management - 2020",
            "shortName": "MIAPPE 2020",
            "description": "The Minimal Information About Plant Phenotyping Experiments (MIAPPE, www.miappe.org) standard has been designed by ELIXIR, EMPHASIS and Bioversity international to guide plant scientist in the management of experimental data. Furthermore, since genetic studies relies on the integration and the linking between phenotype and genotype datasets, relevant section of MIAPPE are beginning to be used for genotyping standards.\r\nThis formation will cover a general introduction of the MIAPPE principles and some examples to illustrate different use cases on the usage of MIAPPE for plant phenotyping data standardization.",
            "homepage": "https://urgi.versailles.inrae.fr/About-us/News/Training-Workshop-on-Phenotyping-Data-Management",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [
                "http://edamontology.org/topic_3572",
                "http://edamontology.org/topic_0625",
                "http://edamontology.org/topic_0219",
                "http://edamontology.org/topic_0780"
            ],
            "keywords": [
                "Données"
            ],
            "prerequisites": [
                "none"
            ],
            "openTo": "Everyone",
            "accessConditions": "Public",
            "maxParticipants": null,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/504/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 82,
                    "name": "INRAE",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 26,
                    "name": "URGI",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/URGI/?format=api"
                }
            ],
            "logo_url": "https://urgi.versailles.inra.fr/extension/inra/design/urgi/images/logoURGI_res72_2-82X1-98.png",
            "updated_at": "2025-11-28T13:22:03.805669Z",
            "type": "Training course",
            "start_date": "2020-02-12",
            "end_date": "2020-02-13",
            "venue": "",
            "city": "",
            "country": "",
            "geographical_range": "International",
            "trainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/504/?format=api"
            ],
            "trainingMaterials": [
                {
                    "id": 150,
                    "name": "Plant Data Managment for Phenotyping Experiments - MIAPPE",
                    "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Plant%20Data%20Managment%20for%20Phenotyping%20Experiments%20-%20MIAPPE/?format=api"
                }
            ],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": null,
            "registration_closing": null,
            "registration_status": "unknown",
            "courseMode": "Online"
        },
        {
            "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_3941",
                "http://edamontology.org/topic_3174",
                "http://edamontology.org/topic_3697"
            ],
            "keywords": [
                "EDAM",
                "Annotation",
                "Galaxy"
            ],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/677/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [
                {
                    "id": 1,
                    "name": "CNRS - IFB",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/CNRS%20-%20IFB/?format=api"
                }
            ],
            "organisedByOrganisations": [
                {
                    "id": 87,
                    "name": "AuBi",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/AuBi/?format=api"
                },
                {
                    "id": 4,
                    "name": "IFB - ELIXIR-FR",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 29,
                    "name": "IFB Core",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api"
                },
                {
                    "id": 31,
                    "name": "AuBi",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/AuBi/?format=api"
                }
            ],
            "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",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2024-02-19",
            "registration_closing": null,
            "registration_status": "open",
            "courseMode": "Online"
        },
        {
            "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_3293",
                "http://edamontology.org/topic_3050",
                "http://edamontology.org/topic_3056",
                "http://edamontology.org/topic_2269"
            ],
            "keywords": [
                "Biostatistics",
                "Biodiversity",
                "Evolution and Phylogeny",
                "Phylogenetics"
            ],
            "prerequisites": [],
            "openTo": "Everyone",
            "accessConditions": "PRACTICAL INFORMATION\r\n\r\n** Place: \"Carmen de la Victoria\" and \"Corrala de Santiago\", Granada, Spain.\r\n\r\n** Dates: May 12-16th, 2025. The conference will begin Monday evening and will\r\n  end at about 3pm on Friday.\r\n\r\n** Fees: Between 650€ to 850€. Fees will vary depending on the type of room,\r\n  shared (for students) or individual. They include accommodation for four nights\r\n  with breakfast, lunches, coffee breaks, two dinners and drinks around posters\r\n  from Monday night until Friday lunchtime included.\r\n\r\n** Deadline for abstract submission and pre-registration: February 21, 2025.\r\n\r\n** Notification of acceptance: March 15, 2025.",
            "maxParticipants": 60,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [
                {
                    "id": 7,
                    "name": "ATGC",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/ATGC/?format=api"
                }
            ],
            "logo_url": null,
            "updated_at": "2025-02-17T08:51:35.482439Z",
            "type": "Meeting",
            "start_date": "2025-05-12",
            "end_date": "2025-05-16",
            "venue": "Carmen de la Victoria\" and \"Corrala de Santiago\"",
            "city": "Granada",
            "country": "Spain",
            "geographical_range": "International",
            "trainers": [],
            "trainingMaterials": [],
            "computingFacilities": [],
            "realisation_status": "past",
            "registration_opening": "2025-02-01",
            "registration_closing": "2025-05-05",
            "registration_status": "closed",
            "courseMode": "Onsite"
        }
    ]
}