Event List
Handles creating, reading and updating events.
GET /api/event/?format=api&offset=320&ordering=-organisedByOrganisations
{ "count": 686, "next": "https://catalogue.france-bioinformatique.fr/api/event/?format=api&limit=20&offset=340&ordering=-organisedByOrganisations", "previous": "https://catalogue.france-bioinformatique.fr/api/event/?format=api&limit=20&offset=300&ordering=-organisedByOrganisations", "results": [ { "id": 805, "name": "Artificial Intelligence and Machine Learning in Life Sciences: from foundations to applications 2026", "shortName": "AI & ML in LS 2026", "description": "“ELIXIR course: Artificial Intelligence and Machine Learning in Life Sciences” provides researchers with the conceptual foundations and practical skills needed tu use AI and ML methods appropriately, critically, and reproducibly in life-science research. If you plan to analyse complex biological datasets or incorporate AI-based approaches into your work, this course may be for you.\r\n\r\nArtificial Intelligence (AI) and Machine Learning (ML) are rapidly transforming life sciences, enabling new approaches to the analysis, interpretation, and integration of increasingly large and complex biological datasets. To fully benefit from these advances, researchers need both a solid understanding of AI/ML methods and awareness of their limitations, best practices, and regulatory frameworks.\r\n\r\nThis five-day, hands-on training course will guide participants from the foundations of machine learning through deep learning, foundation models, and generative AI, while also covering reproducibility, the DOME recommendations, and the EU AI Act.\r\n\r\nBuilding on the success of the first edition, this second ELIXIR Summer School on Artificial Intelligence and Machine Learning in Life Sciences will bring together AI/ML experts from five ELIXIR Nodes and 25 participants from across the ELIXIR community, fostering knowledge exchange, collaboration, and the responsible adoption of AI in life sciences.", "homepage": "https://courses.crg.eu/events/artificial-intelligence-and-machine-learning-life-science-foundations-applications-2026", "is_draft": false, "costs": [ "300€ for academics, 600€ for industry" ], "topics": [ "http://edamontology.org/topic_3474" ], "keywords": [ "Artificial Intelligence", "Machine learning" ], "prerequisites": [ "basic statistics", "Intermediate Python programming", "Data analysis" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 25, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/810/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/869/?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": "2026-07-06T08:01:45.817013Z", "type": "Training course", "start_date": "2026-09-14", "end_date": "2026-09-18", "venue": "Centre for Genomic Regulation (CRG)", "city": "Barcelona", "country": "Spain", "geographical_range": "International", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2026-06-23", "registration_closing": "2026-07-10", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 252, "name": "Initiation à Python", "shortName": "", "description": "\nObjectifs\n\nInitiation à la programmation.\nRéalisation de tâches simples d'extractions d'informations.\nIdentifier les possibilités offertes par l'écriture de quelques lignes de codes.\n \n\n \n \n \n \nProgramme\n\n• Présentation de Python\n• Variables Python\n• Structures de contrôle\n• Réalisation de programmes simples\n• Gestion de fichiers\n• Fonctions\nIllustration avec des exercices de manipulation de fichiers de séquences\n", "homepage": "http://migale.jouy.inra.fr/", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Programming Languages & Computer Sciences", "Python Language" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Ce cycle est ouvert à l'ensemble des agents de l'INRA et aux extérieurs.\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2017-03-07", "end_date": null, "venue": "", "city": "Jouy en josas", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 601, "name": "Introduction to Linux", "shortName": "Introduction to Linux - BiRD", "description": "Objectives\r\n- Understand the principles and advantages of the Linux system\r\n- Know and use the main bash commands. Ability to chain multiple commands using pipes\r\n- Launch programs with arguments\r\n- Gain independence to perform command line analyses\r\n\r\nPedagogical Content\r\n- Introduction to the Linux system.\r\n- File system: directory structure, paths, home directory, file and directory management.\r\n- Principle of protections: reading file attributes, access rights, management of user groups.\r\n- Shell usage: command reminders, input/output redirection, history, completion, launching programs with arguments.\r\n- Commands relevant to bioinformatics: grep, cut, sed, sort, more, etc.\r\n- Connection (ssh) - how to start a session from Linux or Windows PowerShell", "homepage": "https://pf-bird.univ-nantes.fr/training/", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0605" ], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/596/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 16, "name": "BiRD", "url": "https://catalogue.france-bioinformatique.fr/api/team/BiRD/?format=api" } ], "logo_url": "https://bird.univ-nantes.io/website/images/logo/logo.svg", "updated_at": "2024-02-19T09:37:34.209594Z", "type": "Training course", "start_date": "2024-03-18", "end_date": "2024-03-18", "venue": "Faculté de Pharmacie - Salle 450, 4ème étage", "city": "Nantes", "country": "", "geographical_range": "National", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2024-02-08", "registration_closing": "2024-03-15", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 812, "name": "RNASeq Analysis", "shortName": "RNASeq Analysis", "description": "Objectives\r\n- Understand the key steps in RNASeq data analysis for a differential expression study\r\n- Know how to perform command-line analysis using Snakemake.\r\n\r\nPedagogical Content\r\nDay 1\r\n- Principle of RNASeq technology: objectives and experimental design.\r\n- Data quality assessment (FastQC, MultiQC).\r\n- Sequence alignment to a reference genome (STAR).\r\n\r\nDay 2\r\n- Differential gene expression analysis (HTSeqCount, DESeq2).\r\n- Functional annotation (GO, Kegg).\r\n- Using the Snakemake workflow system.\r\n- Comparison between RNASeq and 3’SRP methods.\r\n\r\nThe theoretical part is followed by a pipeline run step-by-step on a test dataset. \r\nIt will be possible to start an analysis on your own data.", "homepage": "https://pf-bird.univ-nantes.fr/training/rnaseq/", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "- Be comfortable with basic Linux commands or have completed the training course “Introduction to the command-line interface.”\r\n- Be familiar with the use of a computing cluster, conda/mamba et snakemake or have completed the training course “Best practices in bioinformatics.”", "maxParticipants": 12, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 16, "name": "BiRD", "url": "https://catalogue.france-bioinformatique.fr/api/team/BiRD/?format=api" } ], "logo_url": "https://bird.univ-nantes.io/website/images/logo/logo.svg", "updated_at": "2026-09-03T15:02:52.564085Z", "type": "Training course", "start_date": "2026-10-22", "end_date": "2026-10-23", "venue": "", "city": "Nantes", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "future", "registration_opening": "2026-09-01", "registration_closing": "2026-10-02", "registration_status": "open", "courseMode": "Onsite" }, { "id": 640, "name": "RNASeq Analysis", "shortName": "RNASeq Analysis", "description": "Objectives\r\n- Understand the key steps in RNASeq data analysis for a differential expression study\r\n- Know how to perform command-line analysis using Snakemake.\r\n\r\nPedagogical Content\r\nDay 1\r\n- Principle of RNASeq technology: objectives and experimental design.\r\n- Data quality assessment (FastQC, MultiQC).\r\n- Sequence alignment to a reference genome (STAR).\r\n\r\nDay 2\r\n- Differential gene expression analysis (HTSeqCount, DESeq2).\r\n- Functional annotation (GO, Kegg).\r\n- Using the Snakemake workflow system.\r\n- Comparison between RNASeq and 3’SRP methods.\r\n\r\nThe theoretical part is followed by a pipeline run step-by-step on a test dataset. \r\nIt will be possible to start an analysis on your own data.", "homepage": "https://pf-bird.univ-nantes.fr/training/rnaseq/", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "Familiarity with basic Linux commands.", "maxParticipants": 12, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 16, "name": "BiRD", "url": "https://catalogue.france-bioinformatique.fr/api/team/BiRD/?format=api" } ], "logo_url": "https://bird.univ-nantes.io/website/images/logo/logo.svg", "updated_at": "2024-08-22T15:55:32.866676Z", "type": "Training course", "start_date": "2024-10-02", "end_date": "2024-10-03", "venue": "", "city": "Nantes", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": "Onsite" }, { "id": 182, "name": "Installing and Managing a High-Performance Computing (HPC) Cluster ", "shortName": "", "description": "This course ran for 5 days covering all the concepts necessary to install and manage a high-performance computing (HPC) cluster. ", "homepage": "https://southgreenplatform.github.io/trainings//ngsTrainings/", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/150x150.png", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2018-09-30", "end_date": "2018-10-04", "venue": "", "city": "CERAAS, Thiès (Sénégal)", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 135, "name": "Analyse de données RNA-seq sous l’environnement Galaxy ", "shortName": "", "description": "Acquérir les connaissances générales sur les méthodes de séquençage à haut-débit...", "homepage": "http://www.biosciencesco.fr/formation-continue/bio-informatique/analyse-des-donn…", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/logoPRABI_2.png", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2017-11-15", "end_date": "2017-11-17", "venue": "", "city": "Lyon", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 480, "name": "Initiation à R / R Initiation - 2022 Session 1", "shortName": "R Initiation - 2022 S1", "description": "Objectifs\r\n- Savoir utiliser les commandes de base pour la manipulation et la description de jeux de données\r\ntabulés\r\n- Être capable de suivre le module R avancé\r\nProgramme\r\n- Introduction au langage R sous l’environnement Rstudio.\r\n- Premières additions.\r\n- Importation/exportation de données tabulées.\r\n- Manipulation d’objets plus complexes : vector, factor, matrice, data.frame, list\r\n- Fonctions mathématiques : sum, min, max, mean, mediane, log2\r\n- Fonctions propres à R pour la manipulation de tableaux : subset, apply, table, match, %in%\r\n- Les graphiques : plot, barplot, boxplot, points, lines …", "homepage": "http://abims.sb-roscoff.fr/training/courses", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_2269" ], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 16, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/299/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 4, "name": "ABiMS", "url": "https://catalogue.france-bioinformatique.fr/api/team/ABiMS/?format=api" } ], "logo_url": "https://abims.sb-roscoff.fr/sites/default/files/abims.png", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2022-05-02", "end_date": null, "venue": "https://www.sb-roscoff.fr/fr/station-biologique-de-roscoff/services/venir-a-la-sbr", "city": "Roscoff", "country": "France", "geographical_range": "National", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2022-03-09", "registration_closing": "2022-04-10", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 265, "name": "Analyse de données métagénomiques 16S", "shortName": "", "description": "\n\n\n\n\n\n\n\nObjectifs\nCette formation est dédiée à l'analyse de données de type \"métagénomique amplicon\" issues des technolo-gies de séquençage 454 et Illumina. La formation couvre les grandes étapes d'un pipeline d'analyse bioinformatique sous Galaxy (FROGS) pour transformer les séquences en tables d'abondances puis présente des outils statistiques sous R (phyloseq) qui permettent de décrire et comparer les échantillons à partir de ces tables.\n\n \nProgramme\n\nJours 1 et 2 : Analyses Bioinformatiques sous Galaxy\nIntroduction générale\nBrefs rappels sur l'environnement Galaxy\nPrésentation des données issues des différentes technologies de séquençage\nPrétraitement des données\nClustering des séquences, construction des OTUs\nDétection de chimères\nAnnotation taxonomique\nFiltrage des données de comptages\nOutils de visualisation\nConstruction de workflow et configuration de FROGS\nLimite des données et des méthodes \nJour 3 et 4 : Analyses Statistiques sous Rstudio\nIntroduction générale\nImport, manipulation et visualisation des données\nMesure de diversités : Unifrac, Bray-Curtis, etc.\nOrdination et réduction de dimension : MDS\nClustering et Heatmap\nComparaison d'échantillons : PERMANOVA, adonis\n▫ Introduction générale\n▫ Brefs rappels sur l'environnement Galaxy\n▫ Présentation des données issues des différentes technologies de séquençage ▫ Prétraitement des données\n▫ Clustering des séquences, construction des OTUs\n▫ Détection de chimères\n▫ Annotation taxonomique\n▫ Filtrage des données de comptages\n▫ Outils de visualisation\n▫ Construction de workflow et configuration de FROGS\n▫ Limite des données et des méthodes\n\n\n\n\n\nJour 3 : Analyses Statistiques sous Rstudio\n\n\t▫ Introduction générale\n\t\n\n\t▫ Import et manipulation des données\n\t\n\n\t▫ Mesure de diversités : Unifrac, Bray-Curtis, etc.\n\t\n\n\t▫ Ordination et réduction de dimension : MDS\n\t\n\n\t▫ Clustering et Heatmap\n\t\n\n\t▫ Comparaison d'échantillons : PERMANOVA, adonis \n\t\n\n\n\n\n\n\n\n\n", "homepage": "http://migale.jouy.inra.fr/", "is_draft": false, "costs": [], "topics": [], "keywords": [ "NGS Data Analysis", "Metagenomics", "Galaxy" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Ce cycle est ouvert à l'ensemble des agents de l'INRA et aux extérieurs.\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2017-03-26", "end_date": null, "venue": "", "city": "", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 262, "name": "Galaxy : Reads alignment and SNP calling", "shortName": "", "description": "As the command line training but with Galaxy. 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