Event List
Handles creating, reading and updating events.
GET /api/event/?format=api&offset=200&ordering=geographical_range
{ "count": 659, "next": "https://catalogue.france-bioinformatique.fr/api/event/?format=api&limit=20&offset=220&ordering=geographical_range", "previous": "https://catalogue.france-bioinformatique.fr/api/event/?format=api&limit=20&offset=180&ordering=geographical_range", "results": [ { "id": 273, "name": "FROGS formation : tools for bioinformatics and statistics analyses with amplicon metagenomics data", "shortName": "", "description": "This training session, organized by Bioinfo Genotoul, Sigenae, NED (GenPhySE) and TWB, is designed to help you to deal with NGS data of 16S, 18S ... DNA produced with MiSeq from Illumina and Roche 454 technologies in the Galaxy workbench.\nYou will discover how to use our Galaxy instance, clean reads, clusterize them, do the taxonomic affiliation and perform statistics to interpret your results.\nPrerequisites: knowledge of R or in another programming language\n", "homepage": "http://bioinfo.genotoul.fr/index.php/events/metagenomic-amplicons-and-stats-with…", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "NGS Data Analysis", "Metagenomics", "metatranscriptomics", "Galaxy" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Subscribe by the web page : http://bioinfo.genotoul.fr/index.php/training-2/galaxy-training/.\nPrices : 165 euros per day for academic people, 550 per day otherwise.\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/FROGS_logo_0.png", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2019-06-30", "end_date": "2019-07-03", "venue": "", "city": "Auzeville-Tolosane", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 374, "name": "Introduction à la Phylogénie Moléculaire : Concepts, méthodes et interprétation", "shortName": "", "description": "", "homepage": "", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2017-12-17", "end_date": "2017-12-21", "venue": "", "city": "Institut Pasteur", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 748, "name": "Best practices for using the BiRD cluster", "shortName": "Best practices in bioinformatics", "description": "Objectives\r\n- Understand and implement the principles of reproducible science in analysis and development projects\r\n- Acquire basic commands necessary for optimal use of the cluster\r\n\r\nPedagogical Content\r\n- Introduction to reproducibility\r\n- Best practices on code history and sharing: Git\r\n- Conda environment\r\n- Presentation of the computing cluster\r\n- Introduction to workflows using Snakemake", "homepage": "https://pf-bird.univ-nantes.fr/training/cluster/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [ "Linux - Basic Knowledge" ], "openTo": "Everyone", "accessConditions": "Have an account on the BiRD cluster.", "maxParticipants": 20, "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": "2026-01-27T10:36:05.128514Z", "type": "Training course", "start_date": "2025-10-21", "end_date": "2025-10-21", "venue": "", "city": "Nantes", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": "2025-10-18", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 381, "name": "Linux For Dummies", "shortName": "", "description": " \nThis course offers an introduction to work with Linux. We will describe the Linux environment, the first linux commands so participants can start to utilize command-line tools and feel comfortable using bioinformatics softwares through a linux terminal.\nPrerequisites\nNo experience required\n\nProgram\nConnecting to a distant HPC\nNavigating through a Unix file system\nCreating and deleting files\nManipuling and filtering file text\nBasics searching for text within a file\n\n\nLearning objectives\nAfter this course, participants should be able to:\nConnect to a Unix / Linux system\nManipulate files and directories within the Linux system\nWork with text files\nRun programs from the command-line\n\n\nInstructors\nChristine Tranchant - christine.tranchant@ird.fr\nNdomassi Tando - ndomassi.tando@ird.fr\nBruno Granouillac - bruno.granouillac@ird.fr\nFrançois Sabot - francois.sabot@ird.fr\nGautier Sarah - gautier.sarah@cirad.fr\n\n", "homepage": "https://southgreenplatform.github.io/trainings//linux/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 24, "name": "South Green", "url": "https://catalogue.france-bioinformatique.fr/api/team/South%20Green/?format=api" } ], "logo_url": "", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2018-03-11", "end_date": null, "venue": "", "city": "Centre IRD, Montpellier", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 472, "name": "Workflow4metabolomics - 2021 session postponed to 2022, march", "shortName": "W4E 2021", "description": "Processing, statistical analysis, and annotation of metabolomics data is a complex task for experimenters since it involves many steps and requires a good knowledge of both the methodology and software tools. The Workflow4Metabolomics.org (W4M) online infrastructure provides a user-friendly and high-performance environment with advanced computational modules for building, running, and sharing complete workflows for LC-MS, GC-MS, FIA and NMR analysis. Such features are of major values for teaching computational metabolomics to experimenters, and previous courses using W4M since 2014 have been very successful.", "homepage": "https://workflow4metabolomics.org/w4e2021", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 20, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": null, "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2022-03-21", "end_date": "2022-03-25", "venue": "", "city": "Toulouse", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": "Onsite" }, { "id": 517, "name": "Initiation à R / R Initiation - Session 1 - 2023", "shortName": "R - Init 2023-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": "https://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": [], "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": "2023-02-22T08:41:32.349856Z", "type": "Training course", "start_date": "2023-05-31", "end_date": "2023-05-31", "venue": "", "city": "Roscoff", "country": "France", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2023-02-22", "registration_closing": "2023-04-30", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 784, "name": "Introduction aux bonnes pratiques pour des analyses reproductibles - 2026", "shortName": "Good practices for better reproducibility of analyses 2026", "description": "Objectifs pédagogiques\r\n\r\nL’objectif de cette formation est d’initier les apprenants aux bonnes pratiques pour la reproductibilité des analyses. Ils apprendront à rédiger des rapports d’analyse en R Markdown et à les déposer sur un dépôt GitHub. Les principes FAIR (faciles à trouver, accessibles, interopérables et réutilisables) et les bases de la rédaction de PGD (plans de gestion de données) seront également présentés. Durant la formation, nous utiliserons RStudio et GitHub.\r\n\r\nProgramme\r\n\r\nPrincipes et enjeux de la recherche reproductible\r\nUtilisation de GitHub\r\nGestion des versions d’un document\r\nRédaction de document computationnel\r\nPartage d’un rapport avec ses collaborateurs\r\nPrincipes FAIR et PGD", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0605" ], "keywords": [ "Reproducibility" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/769/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 88, "name": "BioinfOmics", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=api" }, { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" } ], "organisedByTeams": [ { "id": 10, "name": "MIGALE", "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api" } ], "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png", "updated_at": "2026-02-12T10:27:03.757755Z", "type": "Training course", "start_date": "2026-03-24", "end_date": "2026-03-24", "venue": "", "city": "Jouy-en-Josas", "country": "France", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "future", "registration_opening": null, "registration_closing": "2026-03-10", "registration_status": "open", "courseMode": "Onsite" }, { "id": 398, "name": "Analyse de séquences", "shortName": "", "description": "\n\n\nLes biologistes sont régulièrement confrontés à des gènes (ou des protéines) de fonctions inconnues ou mal annotés. Dans ce contexte, maîtriser quelques techniques basiques d’analyse de séquences peut se révéler d’une aide précieuse. \nL’objectif de cette formation est de présenter, au travers de l’utilisation de sites web spécialisés, quelques grands principes sur l’analyse de séquence. L’ensemble de la formation combine exposés théoriques (fondements méthodologiques des programmes) et applications pratiques (mise en relation des notions théoriques avec les paramètres des programmes et les résultats obtenus) pour permettre une utilisation autonome et critique de quelques logiciels d’analyse des séquences biologiques.\n\n\n\n", "homepage": "https://c3bi.pasteur.fr/training-analyse-de-sequences/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [ "Sequence analysis", "Comparative genomics" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2018-03-18", "end_date": "2018-03-22", "venue": "", "city": "Institut Pasteur", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 639, "name": "Introduction to Linux", "shortName": "Introduction to Linux", "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/linux/", "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": "2026-01-27T10:37:38.355916Z", "type": "Training course", "start_date": "2024-09-30", "end_date": "2024-09-30", "venue": "", "city": "Nantes", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": "2024-09-25", "registration_status": "closed", "courseMode": "Online" }, { "id": 584, "name": "Comparaison de génomes microbiens (session 2024)", "shortName": "Comparaison de génomes microbiens (2024)", "description": "Objectifs pédagogiques\r\nConnaître les concepts et les principales méthodes bioinformatiques pour comparer un jeu de données de génomes microbiens. Construire et évaluer la qualité d’un jeu de données. Savoir mettre en œuvre une comparaison de génomes et en interpréter les résultats.\r\n\r\nProgramme\r\n* Construction d’un jeu de données :\r\n* Téléchargement de données publiques\r\n* Evaluation de la qualité\r\n* Caractérisation de la diversité génomique\r\n* Stratégies de comparaison :\r\n* Construction de famille de protéines\r\n* Alignement de génomes complets\r\n* Analyse des résultats :\r\n o Notion de core et pan-génome\r\n o Notions élémentaires de phylogénomique\r\n o Visualisation et interprétation des résultats\r\n* Mise en pratique sur un jeu de données bactériens, utilisation des logiciels dRep et Roary sous Galaxy.", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0622", "http://edamontology.org/topic_3299" ], "keywords": [ "Comparative genomics" ], "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": [ { "id": 10, "name": "MIGALE", "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api" } ], "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png", "updated_at": "2024-01-18T14:16:08.617035Z", "type": "Training course", "start_date": "2024-05-24", "end_date": "2024-05-24", "venue": "https://migale.inrae.fr/how-to-come", "city": "Jouy-en-Josas", "country": "France", "geographical_range": "", "trainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/396/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=api" ], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2024-01-08", "registration_closing": "2024-05-10", "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": 187, "name": "Building a FAIR Bioinformatics environment", "shortName": "", "description": "Building a FAIR Bioinformatics environment", "homepage": "http://www.igst.it/nettab/2018/", "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/nettab304_bestLogo.jpg", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Workshop", "start_date": "2018-10-22", "end_date": "2018-10-24", "venue": "", "city": "Genoa, Italy", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 46, "name": ": Analyse in silico de structures 3D de protéines. Modélisation par homologie de protéines homologues, sauvage et mutées, arrimage de ligands.", "shortName": "", "description": "", "homepage": "", "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": "2017-03-22", "end_date": "2017-03-23", "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": 294, "name": "Introduction à Unix/Linux pour les biologistes", "shortName": "", "description": "", "homepage": "", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2017-09-02", "end_date": "2017-10-14", "venue": "", "city": "Lyon", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 620, "name": "Galaxy / Galaxy Initiation - 2024", "shortName": "Galaxy Initiation - 2024", "description": "Objectifs\r\n- Savoir exploiter l’environnement Galaxy pour être en mesure d’analyser ses données.\r\n- Être en mesure de créer ses workflows.\r\nProgramme\r\n- Téléchargement des données à traiter.\r\n- Manipulation de fichiers.\r\n- Traitement des données.\r\n- Visualisation des résultats.\r\n- Création de workflows.\r\n- Partage de résultats et de workflows.", "homepage": "https://abims.sb-roscoff.fr/training/courses", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_0769" ], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 18, "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": "2025-01-23T13:52:11.506916Z", "type": "Training course", "start_date": "2024-05-27", "end_date": "2024-05-27", "venue": "", "city": "Roscoff", "country": "France", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2024-03-29", "registration_closing": "2024-04-21", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 481, "name": "Statistiques avec R / Statistics with R - 2022 Session 1", "shortName": "R - Stats - 2022 S1", "description": "Objectifs\r\n- Choisir un test statistique adapté à un problème donné.\r\n-\r\nImporter des données et réaliser un test avec R.\r\nProgramme\r\n- Théorie : modèle, loi de distribution, hypothèse H0, variable de test, p-value, tests multiples, FDR\r\n- Pratique : réalisation de tests sous R dans un environnement convivial (RStudio)\r\n-\r\ntests usuels simples : Gauss, Student, χ2\r\n-\r\ntests multiples : ANOVA, correction (ex. Student multiple), tests spécifiques (ex. SAM)", "homepage": "http://abims.sb-roscoff.fr/training/courses", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_2269" ], "keywords": [], "prerequisites": [ "Basic knowledge of R" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 18, "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": "2022-05-03", "end_date": null, "venue": "https://www.sb-roscoff.fr/fr/station-biologique-de-roscoff/services/venir-a-la-sbr", "city": "Roscoff", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2022-03-09", "registration_closing": "2022-04-10", "registration_status": "closed", "courseMode": "Onsite" }, { "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": 405, "name": "4th Workshop Single-Cell / SincellTE 2022 / Single-Cell : Transcriptomics, Spatial and Multi-Omics", "shortName": "SincellTE 2022", "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.", "homepage": "https://www.france-bioinformatique.fr/formation/single-cell-2022/", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [ "Master", "Autre (Diplôme universitaire, école d'ingénieur ...)" ], "openTo": "Everyone", "accessConditions": "None", "maxParticipants": 30, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/644/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 4, "name": "IFB - ELIXIR-FR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api" } ], "organisedByTeams": [], "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/sincellTE_logo_0_2.png", "updated_at": "2022-09-15T13:10:14.790898Z", "type": "Training course", "start_date": "2022-01-09", "end_date": "2022-01-14", "venue": "Roscoff Biological Station\r\nPlace Georges Teissier", "city": "Roscoff", "country": "France", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": "2021-09-15", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 57, "name": "R - Advanced", "shortName": "", "description": "", "homepage": "", "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": "2017-04-04", "end_date": null, "venue": "", "city": "Roscoff", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 587, "name": "Analyse statistique de données RNA-Seq - Recherche des régions d’intérêt différentiellement exprimées (2024)", "shortName": "Analyse statistique de données RNA-Seq (2024)", "description": "Objectifs pédagogiques\r\n* Se sensibiliser aux concepts et méthodes statistiques pour l’analyse de données transcriptomiques de type RNA-Seq.\r\n* Comprendre le matériel et méthodes (normalisation et tests statistiques) d’un article.\r\n* Réaliser une étude transcriptomique avec R dans l’environnement RStudio.\r\n\r\nProgramme\r\n* Planification expérimentale des expériences RNA-Seq (identification des biais, répétitions, biais contrôlables).\r\n* Normalisation et analyse différentielle : recherche de “régions d’intérêt” différentiellement exprimées (modèle linéaire généralisé).\r\n*Prise en compte de la multiplicité des tests.\r\n\r\nLe cours sera illustré par différents exemples. 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