Event List
Handles creating, reading and updating events.
GET /api/event/?format=api&ordering=-topics
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Chaque module comprend des présentations générales et des séances pratiques sur ordinateur, avec Galaxy.\r\nLes objectifs du module 5 sont :\r\n- Savoir réaliser une analyse transcriptomique par RNA-seq avec ou sans (de novo) génome de référence à l’aide du portail Galaxy\r\n- Avoir un regard critique sur la qualité des lectures obtenues par le séquenceur\r\n- Connaître et savoir paramétrer les outils nécessaires à l’analyse", "homepage": "https://bilille.univ-lille.fr/training/training-offer", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [ "Galaxy - Basic usage" ], "openTo": "Internal personnel", "accessConditions": "Etre familier avec la plate-forme web Galaxy (idéalement avoir suivi la formation bilille « Initiation à Galaxy »)\r\nAvoir suivi le module 1/5 « Analyses ADN » de ce cycle ou toute autre formation permettant de justifier de connaissances sur les données de séquençage haut débit et leur alignement.", "maxParticipants": null, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/487/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?format=api" }, { "id": 56, "name": "INSERM", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api" }, { "id": 66, "name": "UDL", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/UDL/?format=api" } ], "organisedByTeams": [ { "id": 3, "name": "Bilille", "url": "https://catalogue.france-bioinformatique.fr/api/team/Bilille/?format=api" } ], "logo_url": "https://bilille.univ-lille.fr/fileadmin/_processed_/9/2/csm_logo_bilille_complet_65be9bda8b.png", "updated_at": "2024-12-09T17:35:45.084740Z", "type": "Training course", "start_date": "2021-09-16", "end_date": "2021-09-17", "venue": "", "city": "Villeneuve d'Ascq", "country": "FRANCE", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": "2021-01-06", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 268, "name": "Rôles multiples de l’ARN", "shortName": "", "description": "Ce cours théorique et pratique de deux semaines est orienté sur les méthodes pour étudier la synthèse, maturation et la dégradation d’une large variété de molécules d’ARN dans les cellules eucaryotes - voir plus\n", "homepage": "https://www.pasteur.fr/fr/enseignement/programmes-doctoraux-et-cours/cours-paste…", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Analysis of RNAseq data", "Transcriptomics (RNA-seq)", "NGS Sequencing Data Analysis" ], "prerequisites": [ "Master" ], "openTo": "Internal personnel", "accessConditions": "Les candidats doivent avoir de bonnes connaissances en génétique, biologie moléculaire et biochimie du niveau de la fin de première année de Master, ainsi qu’un niveau minimum (B1) en français ET en anglais. Les candidatures sont sélectionnées et évaluées par le Comité du cours.\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2019-02-10", "end_date": "2019-02-21", "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": 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": 4, "name": "IFB", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB/?format=api" }, { "id": 48, "name": "Institut Pasteur", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Institut%20Pasteur/?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": 151, "name": "MOD2018", "shortName": "", "description": " Axée sur les technologies pour l'assemblage des génomes et sur les applications en Santé et en Environnement.", "homepage": "https://www.montpellier-omics-days.fr/", "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/index.png", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Conference", "start_date": "2018-02-08", "end_date": "2018-02-09", "venue": "", "city": "campus du Triolet, Université de Montpellier", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 665, "name": "Interactive Online Companionship - SingleCell RNAseq Analysis 2025", "shortName": "IOC - SingleCell", "description": "InforBio offers online bioinformatics training tailored to the needs of research labs, with small group sessions to ensure personalized learning. Our program is designed to help you acquire key skills for independent data analysis.\r\n\r\nWe offer a comprehensive 3-month program, including a post-training feedback session to support practical application.\r\n\r\nAnalyse de données scRNAseq (avril à juin 2025) – 10 sessions de 2h30 – 2000 € Apprenez à analyser des données de séquençage ARN en cellules uniques grâce à des cas pratiques.Vous travaillerez d’abord sur un jeu de données fourni, puis sur vos propres données, avec un retour personnalisé sur votre projet. Cette formation requiert une bonne maîtrise de R.\r\n\r\nKey Highlights:\r\nSmall group sessions for interactive and personalized learning.\r\nTailored feedback on your own data to reinforce the learning process.\r\nLimited spots available, registration is now open.", "homepage": "https://inforbio.github.io/ioc_r_scrnaseq.html", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "Single-Cell Analysis" ], "prerequisites": [ "R programming" ], "openTo": "Everyone", "accessConditions": "Followed R training or equivalent level", "maxParticipants": 6, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/809/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 18, "name": "IBiSA", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IBiSA/?format=api" }, { "id": 19, "name": "Sorbonne Université", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Sorbonne%20Universit%C3%A9/?format=api" } ], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "https://github.com/InforBio/InforBio.github.io/blob/main/images/logoInforBio_fond_blanc.png?raw=true", "updated_at": "2024-12-11T08:35:29.702215Z", "type": "Training course", "start_date": "2025-04-07", "end_date": "2025-06-30", "venue": "", "city": "online", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "future", "registration_opening": "2024-12-01", "registration_closing": "2024-12-31", "registration_status": "closed", "courseMode": "Online" }, { "id": 384, "name": "Introduction to High-performance computing", "shortName": "", "description": "This course offers an introduction on how to work with HPC Southgreen clusters. It is intended for new users, with the goals of improving user productivity and minimizing the obstacles. The HPC Southgreen cluster are presented, together with the tools to be able to use it. Module load notion, interactive usage and batch jobs submittions will be developped.\nPrerequisites\nLinux Basics\n\nProgram\nIntroduction to HPCs architecture\nDiscover Sun grid Engine (SGE)\nData Management on clusters\nInteractive Usage\nSubmit batch jobs\n\n\nLearning objectives\nAfter this course, participants should be able to:\nUse the HPC resources interactively\nManage data copies\nUse module load\nsubmit batch jobs\n\n\nInstructors\n\n\nNdomassi Tando (NT) - ndomassi.tando@ird.fr\nBertrand Pitollat(BP) - bertrand.pitollat@cirad.fr\nAlexis Dereeper (AD) - alexis.dereeper@ird.fr\n\n", "homepage": "https://southgreenplatform.github.io/trainings//HPC/", "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": "2018-03-14", "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": 264, "name": "Bioinformatique pour le traitement de données de séquençage (NGS)", "shortName": "", "description": "\nLes objectifs sont :\n- Savoir choisir les outils d'analyse\n- Etre autonome pour effectuer un pipeline d'analyse\n- Comprendre les principes des méthodes d'analyse\n- Savoir manipuler les fichiers de séquences : préparation et filtration\n- Etre capable d'évaluer la qualité des données\n- Savoir analyser avec ou sans génome de référence\nhttps://cnrsformation.cnrs.fr/\n\n", "homepage": "http://cnrsformation.cnrs.fr/stage-17010-Bioinformatique-pour-le-traitement-de-d…", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Methodology", "NGS Data Analysis", "Analysis of RNAseq data", "Assembly of genomes and transcriptomes", "Read alignment on genomes", "Variant analysis", "Complete genomes", "Transcriptomics (RNA-seq)", "Genomics (DNA-seq)", "NGS Sequencing Data Analysis" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "S'acquitter des frais d'inscription, notions de base en informatique : fichiers, répertoire..., notions du système linux et des lignes de commandes, niveau master\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2019-03-24", "end_date": "2019-03-28", "venue": "", "city": "Montpellier", "country": "", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": null }, { "id": 106, "name": "Formation \"Annotation & Analyse de Génomes Procaryotes - 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Module 6/6 : Analyses RNA-seq, biostatistique - session Septembre 2021", "shortName": "", "description": "Bilille propose chaque année un cycle de formation d'introduction à l'analyse des données de séquençage à haut débit.\r\nCe cycle est composé de 6 modules, à la carte : \r\n- Module 1: Analyses ADN\r\n- Module 2: Analyses de variants\r\n- Module 3 : Métagénomique\r\n- Module 4: ChIP-seq\r\n- Module 5: Analyses RNA-seq, bioinformatique\r\n- Module 6: Analyses RNA-seq, biostatistique\r\nLes fiches descriptives sont accessibles sur le site de Bilille. Chaque module comprend des présentations générales et des séances pratiques sur ordinateur, avec Galaxy.\r\nLes objectifs du module 6 sont :\r\n- Savoir réaliser une analyse différentielle de données RNA-seq à partir d’une table de comptage (quantifiant les lectures alignées) à l’aide du portail Galaxy\r\n- Avoir un regard critique sur les résultats d’une analyse différentielle\r\n- Comprendre différentes méthodes de normalisation et les contextes d’utilisation correspondants", "homepage": "https://bilille.univ-lille.fr/training/training-offer", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [ "Galaxy - Basic usage" ], "openTo": "Internal personnel", "accessConditions": "- Etre familier avec la plate-forme web Galaxy (idéalement avoir suivi la formation bilille « Initiation à Galaxy »)\r\n- Avoir suivi le module «Analyses RNA-seq–partie 1 (bioinformatique)» de ce cycle ou toute autre formation permettant de justifier de connaissances sur les 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