Event List
Handles creating, reading and updating events.
GET /api/event/?format=api&offset=480&ordering=keywords
{ "count": 659, "next": "https://catalogue.france-bioinformatique.fr/api/event/?format=api&limit=20&offset=500&ordering=keywords", "previous": "https://catalogue.france-bioinformatique.fr/api/event/?format=api&limit=20&offset=460&ordering=keywords", "results": [ { "id": 408, "name": "9ème Ecole de Bioinformatique AVIESAN-IFB-Inserm", "shortName": "EBAII 2020", "description": "La formation s’adresse à des biologistes directement impliqués dans des projets “Next Generation Sequencing” (NGS). Cette édition de l’école aborde les nouveaux enjeux technologiques: elle s’articulera autour de trois ateliers en session parallèle (RNA-seq, ChIP-seq, variants DNA-seq), et inclura une introduction à l’intégration des données, ouverture aux approches “single-cell” ainsi qu’aux technologies lectures longues (Nanopore, PacBio).\r\nL’école vise à introduire les concepts et à manipuler les outils informatiques et à en interpréter les résultats. Elle est basée sur une alternance de courtes sessions théoriques et d’ateliers pratiques. Les participants bénéficieront d’un tutorat personnalisé pour élaborer leur plan d’analyse, et effectuer les premières étapes de traitement de leurs propres données ou de celles de leur plateforme.", "homepage": "https://ressources.france-bioinformatique.fr/fr/evenements/ebaii2020", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "Biostatistics", "Sequence analysis", "NGS Sequencing Data Analysis" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "La formation s’adresse à des biologistes directement impliqués dans des projets “Next Generation Sequencing” (NGS). \r\nAucune connaissance préalable des environnements Linux ou R n’est requise, mais il sera demandé aux participants de suivre une autoformation en ligne en amont, pour faciliter la prise en main de ces langages. La formation approfondira progressivement l’usage de ces environnements au fil des sessions thématiques.", "maxParticipants": 40, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/207/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 3, "name": "IFB", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IFB/?format=api" }, { "id": 13, "name": "Aviesan", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Aviesan/?format=api" }, { "id": 14, "name": "Inserm", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Inserm/?format=api" } ], "organisedByOrganisations": [ { "id": 53, "name": "AVIESAN", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/AVIESAN/?format=api" }, { "id": 4, "name": "IFB - ELIXIR-FR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api" } ], "organisedByTeams": [ { "id": 10, "name": "MIGALE", "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api" }, { "id": 14, "name": "BiGEst", "url": "https://catalogue.france-bioinformatique.fr/api/team/BiGEst/?format=api" }, { "id": 4, "name": "ABiMS", "url": "https://catalogue.france-bioinformatique.fr/api/team/ABiMS/?format=api" }, { "id": 29, "name": "IFB Core", "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api" } ], "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/EBA2016_0_1_1_0.jpg", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2020-10-04", "end_date": "2020-10-09", "venue": "", "city": "Roscoff", "country": "France", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": "2020-04-05", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 410, "name": "3ème Ecole de Bioinformatique AVIESAN", "shortName": "EBA 2014", "description": "Les domaines des sciences du vivant liés à l’analyse du génome ont vu au cours des dernières années une\r\naccumulation explosive des données provenant des techniques de séquençage à haut débit. Les progrès accomplis ont\r\nconsidérablement augmenté les possibilités expérimentales dans des domaines tels que la génomique (séquençage de\r\nnouveaux génomes, variants génétiques), la transcriptomique (expression génétique, ARNs non codants) et les\r\ninteractions ADN-protéine (immuno-précipitation de chromatine) et modifications de la chromatine. AVIESAN organise\r\nune troisième session de cette école dont les objectifs sont d’apporter aux biologistes des notions et une pratique leur\r\npermettant d’appréhender le traitement et l’analyse des données de séquençage à haut débit en utilisant un\r\nenvironnement logiciel convivial : Galaxy.\r\nL’école comportera des séminaires introductifs, des cours et des travaux pratiques consacrés à l’initiation au traitement\r\ndes données de transcriptome (RNA-seq), d’interactome (ChIP-seq) et de variations génomiques (SNP, CNV). Les\r\nparticipants disposant de données pourront discuter de leur plan d’analyse et effectuer les premières étapes de\r\ntraitement de leurs données au cours de la dernière journée.\r\nL’école est une initiation à l’utilisation des outils bioinformatiques dans un environnement Galaxy, plateforme dédiée à\r\nl’analyse des données de séquençage à haut débit. Cette formation est destinée aux biologistes (chercheurs,\r\ndoctorants, enseignants-chercheurs, ingénieurs, …) ayant déjà utilisé ou souhaitant utiliser ce type de données.", "homepage": "https://aviesan.fr/fr/aviesan/accueil/toute-l-actualite/itmo-ggb-3e-ecole-de-bioinformatique-initiation-au-traitement-des-donnees-de-genomique-obtenues-par-sequencage-a-haut-debit", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "Biostatistics", "Sequence analysis", "NGS Sequencing Data Analysis" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 40, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/207/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 3, "name": "IFB", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IFB/?format=api" }, { "id": 13, "name": "Aviesan", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Aviesan/?format=api" } ], "organisedByOrganisations": [ { "id": 53, "name": "AVIESAN", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/AVIESAN/?format=api" }, { "id": 4, "name": "IFB - ELIXIR-FR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api" } ], "organisedByTeams": [ { "id": 10, "name": "MIGALE", "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api" }, { "id": 14, "name": "BiGEst", "url": "https://catalogue.france-bioinformatique.fr/api/team/BiGEst/?format=api" }, { "id": 4, "name": "ABiMS", "url": "https://catalogue.france-bioinformatique.fr/api/team/ABiMS/?format=api" }, { "id": 29, "name": "IFB Core", "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api" } ], "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/EBA2016_0_1_1_0.jpg", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2014-10-05", "end_date": "2014-10-10", "venue": "Station Biologique", "city": "Roscoff", "country": "France", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": "2014-06-27", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 270, "name": "Biotechnologies et bioinformatique appliquées aux maladies rares", "shortName": "", "description": "Module optionnel du DIU Maladies rares : de la recherche au traitement.\n", "homepage": "http://fondation-maladiesrares.org/actualite/diu-maladies-rares-de-la-recherche-…", "is_draft": false, "costs": [], "topics": [], "keywords": [ "NGS Data Analysis", "Bioinformatics & Biomedical", "Sequence analysis", "NGS Sequencing Data Analysis" ], "prerequisites": [ "Autre (Diplôme universitaire, école d'ingénieur ...)" ], "openTo": "Internal personnel", "accessConditions": "Inscription au DIU Maladies rares : de la recherche au traitement\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2017-02-05", "end_date": "2017-02-09", "venue": "", "city": "", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 272, "name": "Training on annotation of transposable elements", "shortName": "", "description": "The objectives of this training are: \nTo acquire knowledge on transposable elements\nTo achieve annotation of transposable elements in the genome using REPET pipelines\nTo be autonomous on your own data.\nProgram\nOpening presentations on transposable elements and their annotation\nStrategies of repeat annotation\nREPET pipelines overview and practices \nPost-analyze tools overview and practices\n \n", "homepage": "https://urgi.versailles.inra.fr/Platform/Training/Training-on-annotation-of-tran…", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "Bioinformatics and Plant Genomics", "Sequence analysis" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "This training is dedicated to biologists and/or bioinformaticians (10 pers. max)\nCost : 150€\nRegistration and information by mail to: urgi-contact@inra.fr\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2018-06-10", "end_date": "2018-06-12", "venue": "", "city": "INRA-URGI, Centre de Versailles", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 412, "name": "2ème Ecole de Bioinformatique AVIESAN", "shortName": "EBA 2013 - 2", "description": "La formation est une initiation à l’utilisation des outils bioinformatiques permettant d’aborder la diversité des applications du NGS. Cette école, qui se veut généraliste, sera organisée en deux groupes thématiques principaux: (1) régulation, transcriptome et épigénome et (2) variations génomiques. Elle couvrira une série de techniques dérivées du séquençage à haut débit: RNA-seq, ChIP-seq, identification et annotation de SNP, RAD-seq, assemblage de novo de RNA-seq. Le but de l’école est de couvrir plusieurs technologies largement utilisées, plutôt que de se concentrer sur une seule.\r\nL’école sera basée sur des ateliers pratiques sous l’environnement convivial Galaxy.\r\nLes participants sélectionnés pourront bénéficier d’un tutorat personnalisé pour discuter de leur plan d’analyse, et effectuer les premières étapes de traitement de leurs propres données ou de celles de leur plateforme (sans avoir la volonté de mener à bien l’analyse complète des données).", "homepage": "https://aviesan.fr/fr/aviesan/accueil/toute-l-actualite/2eme-ecole-de-bioinformatique-initiation-au-traitement-des-donnees-de-genomique-obtenues-par-sequencage-a-haut-debit/(sort_cat)/3726", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "Biostatistics", "Sequence analysis", "NGS Sequencing Data Analysis" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 40, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/207/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 13, "name": "Aviesan", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Aviesan/?format=api" } ], "organisedByOrganisations": [ { "id": 53, "name": "AVIESAN", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/AVIESAN/?format=api" }, { "id": 4, "name": "IFB - ELIXIR-FR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api" } ], "organisedByTeams": [ { "id": 4, "name": "ABiMS", "url": "https://catalogue.france-bioinformatique.fr/api/team/ABiMS/?format=api" }, { "id": 29, "name": "IFB Core", "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api" } ], "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/EBA2016_0_1_1_0.jpg", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2013-11-17", "end_date": "2013-11-22", "venue": "Station Biologique", "city": "Roscoff", "country": "France", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": "2013-09-01", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 645, "name": "EBAII : Ecole de Bioinformatique \"Traitement des données de génomique obtenues par séquençage à haut débit\" niveau débutant - session 2025", "shortName": "EBAII N1 session novembre 2025", "description": "Description : La formation EBAII IFB Aviesan de niveau 1 propose une expérience d'apprentissage intensive conçue pour les biologistes, qu'ils soient ingénieurs, doctorants, chercheurs, enseignants-chercheurs ou praticiens, qui sont confrontés à l'analyse de données NGS (Next-Generation Sequencing) mais qui ne disposent pas encore des compétences bioinformatiques nécessaires, ou qui cherchent à renforcer leurs compétences existantes.\r\n\r\nContenu : Cette formation est structurée autour d'une combinaison de sessions théoriques et d'ateliers pratiques. Les participants auront l'occasion d'explorer diverses thématiques, notamment le traitement de données de variants, ChIP-Seq, Bulk RNA-Seq, et Single-Cell RNA-Seq. De plus, ils recevront une introduction aux technologies \"long reads\".\r\n\r\nObjectifs généraux:\r\nAcquérir une compréhension approfondie des concepts liés à l'analyse de données NGS.\r\nMaîtriser les outils informatiques nécessaires pour effectuer ces analyses.\r\nInterpréter les résultats des analyses de données NGS.", "homepage": "https://moodle.france-bioinformatique.fr/course/index.php?categoryid=9", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "Biostatistics", "Sequence analysis", "NGS Sequencing Data Analysis" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "La formation s’adresse à des biologistes directement impliqués dans des projets “Next Generation Sequencing” (NGS). \r\nAucune connaissance préalable des environnements Linux ou R n’est requise, mais il sera demandé aux participants de suivre une autoformation en ligne en amont, pour faciliter la prise en main de ces langages. La formation approfondira progressivement l’usage de ces environnements au fil des sessions thématiques.", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 3, "name": "IFB", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IFB/?format=api" }, { "id": 14, "name": "Inserm", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Inserm/?format=api" } ], "organisedByOrganisations": [ { "id": 53, "name": "AVIESAN", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/AVIESAN/?format=api" }, { "id": 4, "name": "IFB - ELIXIR-FR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api" } ], "organisedByTeams": [ { "id": 10, "name": "MIGALE", "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api" }, { "id": 14, "name": "BiGEst", "url": "https://catalogue.france-bioinformatique.fr/api/team/BiGEst/?format=api" }, { "id": 4, "name": "ABiMS", "url": "https://catalogue.france-bioinformatique.fr/api/team/ABiMS/?format=api" }, { "id": 29, "name": "IFB Core", "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api" } ], "logo_url": "https://www.sb-roscoff.fr/sites/www.sb-roscoff.fr/files/styles/large/public/images/station-biologique-roscoff-roscoff-4404.jpg", "updated_at": "2025-09-09T12:27:03.315155Z", "type": "Training course", "start_date": "2025-11-16", "end_date": "2025-11-21", "venue": "", "city": "Roscoff", "country": "France", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": "Onsite" }, { "id": 644, "name": "EBAII : Ecole de Bioinformatique \"Traitement des données de génomique obtenues par séquençage à haut débit\" niveau intermédiaire - session 2025", "shortName": "EBAII N2 session juin 2025", "description": "Objectifs\r\nLa formation s’adresse à des biologistes directement impliqués dans des projets “Next Generation Sequencing” (NGS). Cette édition de l’école aborde les nouveaux enjeux technologiques: elle s’articulera autour de trois ateliers thématiques en session parallèle (bulk RNA-seq, ChIP-seq, variants génomiques/GWAS), et abordera la visualisation et l’intégration des données. L’école vise à approfondir les concepts, à manipuler des outils informatiques avancés et à en interpréter les résultats.\r\nElle est basée sur une alternance de courtes sessions théoriques et d’ateliers pratiques. Les participants bénéficieront d’un tutorat personnalisé pour élaborer leur plan d’analyse, et effectuer les premières étapes de traitement de leurs propres données.\r\nAttention : le tutorat n'a pas pour vocation de réaliser l’analyse complète des données des participants.", "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=35", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_3391", "http://edamontology.org/topic_3366", "http://edamontology.org/topic_0092", "http://edamontology.org/topic_3168", "http://edamontology.org/topic_0091" ], "keywords": [ "Biostatistics", "Sequence analysis", "NGS Sequencing Data Analysis" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "La formation s’adresse à des biologistes directement impliqués dans des projets “Next Generation Sequencing” (NGS) avec un niveau de base en ligne de commande, R, et (au choix) RNA-seq, ChIP-seq ou variants DNA-seq.", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "https://www.sb-roscoff.fr/sites/www.sb-roscoff.fr/files/styles/large/public/images/station-biologique-roscoff-roscoff-4404.jpg", "updated_at": "2025-01-09T13:06:41.575826Z", "type": "Training course", "start_date": "2025-06-01", "end_date": "2025-06-06", "venue": "", "city": "Roscoff", "country": "France", "geographical_range": "National", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2025-01-08", "registration_closing": "2025-03-01", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 628, "name": "EBAII - Ecole de Bioinformatique \"Initiation au traitement des données de génomique obtenues par séquençage à haut débit\" session 2024", "shortName": "EBAII niv1 - 2024 session", "description": "Description : La formation EBAII IFB Aviesan de niveau 1 propose une expérience d'apprentissage intensive conçue pour les biologistes, qu'ils soient ingénieurs, doctorants, chercheurs, enseignants-chercheurs ou praticiens, qui sont confrontés à l'analyse de données NGS (Next-Generation Sequencing) mais qui ne disposent pas encore des compétences bioinformatiques nécessaires, ou qui cherchent à renforcer leurs compétences existantes.\r\n\r\nContenu : Cette formation est structurée autour d'une combinaison de sessions théoriques et d'ateliers pratiques. Les participants auront l'occasion d'explorer diverses thématiques, notamment le traitement de données de variants, ChIP-Seq, Bulk RNA-Seq, et Single-Cell RNA-Seq. De plus, ils recevront une introduction aux technologies \"long reads\".\r\n\r\nObjectifs généraux:\r\nAcquérir une compréhension approfondie des concepts liés à l'analyse de données NGS.\r\nMaîtriser les outils informatiques nécessaires pour effectuer ces analyses.\r\nInterpréter les résultats des analyses de données NGS.", "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=28", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "Biostatistics", "Sequence analysis", "NGS Sequencing Data Analysis" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "La formation s’adresse à des biologistes directement impliqués dans des projets “Next Generation Sequencing” (NGS). \r\nAucune connaissance préalable des environnements Linux ou R n’est requise, mais il sera demandé aux participants de suivre une autoformation en ligne en amont, pour faciliter la prise en main de ces langages. 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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. 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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. 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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. 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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": 699, "name": "Modélisation in silico de structures 3D de protéines. 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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»", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_1317" ], "keywords": [ "Protein structures", "2D/3D", "Protein/protein interaction modelisation" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/769/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" }, { "id": 88, "name": "BioinfOmics", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=api" } ], "organisedByTeams": [], "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png", "updated_at": "2025-01-23T15:44:32.386212Z", "type": "Training course", "start_date": "2025-06-04", "end_date": "2025-06-05", "venue": "", "city": "Jouy-en-Josas", "country": "France", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2025-01-21", "registration_closing": "2025-05-20", "registration_status": "closed", "courseMode": "Online" } ] }
