Event List
Handles creating, reading and updating events.
GET /api/event/?format=api&ordering=-logo_url
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IWC acts as a central hub for Galaxy workflows, automatically listing them in major registries like Dockstore and WorkflowHub, while ensuring workflows are rigorously reviewed, tested, and updated with every new Galaxy release. Versioning, tool updates, and essential metadata enhance the findability and usability of each workflow.\r\n\r\nIn short, the objectives of this hackathon are to:\r\n- Annotate and apply best practices to microbial data analysis Galaxy workflows for consistency and reusability\r\n- Implement robust tests to ensure workflow reliability and accuracy\r\n- Successfully integrate key microbial data analysis Galaxy workflows into IWC, improving accessibility and usability\r\n- Collaborate as a community to refine and improve workflows, ensuring they are peer-reviewed and meet high standards\r\n- Make these peer-reviewed workflows accessible to the broader community through the future microGalaxy Lab\r\n\r\nThis hackathon is open to participants from all communities, so join us to help shape the future of bioinformatics workflows! Experts and IWC experienced users will be participating in the hackathon to support and explain the requirements during the event.", "homepage": "https://galaxyproject.org/events/2024-11-21-hackathon-microgalaxy-iwc/", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3697", "http://edamontology.org/topic_3941", "http://edamontology.org/topic_3174", "http://edamontology.org/topic_0769", "http://edamontology.org/topic_0121" ], "keywords": [ "Galaxy", "Workflow development" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": null, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/677/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 1, "name": "CNRS - IFB", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/CNRS%20-%20IFB/?format=api" } ], "organisedByOrganisations": [ { "id": 4, "name": "IFB", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB/?format=api" }, { "id": 87, "name": "AuBi", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/AuBi/?format=api" } ], "organisedByTeams": [ { "id": 29, "name": "IFB Core", "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api" }, { "id": 31, "name": "AuBi", "url": "https://catalogue.france-bioinformatique.fr/api/team/AuBi/?format=api" } ], "logo_url": null, "updated_at": "2024-11-22T09:55:01.514886Z", "type": "Workshop", "start_date": "2024-11-21", "end_date": "2024-11-21", "venue": "Online with a\r\n • a Zoom room, open the whole week\r\n • 2 stand-ups to accommodate different time zones\r\n • Several brainstorming meetings\r\n • microGalaxy Matrix chat for communication", "city": "", "country": "", "geographical_range": "International", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2024-10-10", "registration_closing": null, "registration_status": "open", "courseMode": "Online" }, { "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": 503, "name": "NGS data analysis on the command line - session 4", "shortName": "NGS-analysis-cli - session4", "description": "This hands-on course will teach bioinformatic approaches for analyzing Illumina sequencing data. Our goal is to introduce the command line skills you need to make the most of your NGS data. \r\nDuring this 4-day training we will first introduce the Linux environment, shell commands and basic R scripting. And then we will focus on two NGS data analyses -- small RNA-seq and RNA-seq -- based on published datasets from the model organism Arabidopsis thaliana", "homepage": "https://gitlab.com/ngs_workshop/april2022", "is_draft": false, "costs": [ "Free to academics" ], "topics": [ "http://edamontology.org/topic_0102", "http://edamontology.org/topic_3170", "http://edamontology.org/topic_2269", "http://edamontology.org/topic_3168" ], "keywords": [], "prerequisites": [ "none" ], "openTo": "Internal personnel", "accessConditions": "This training is dedicated to academics working in a laboratory of Unistra/CNRS.", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/124/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 79, "name": "UPR2357", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/UPR2357/?format=api" } ], "organisedByTeams": [ { "id": 14, "name": "BiGEst", "url": "https://catalogue.france-bioinformatique.fr/api/team/BiGEst/?format=api" } ], "logo_url": null, "updated_at": "2022-11-28T14:04:22.544121Z", "type": "Training course", "start_date": "2022-03-31", "end_date": "2022-04-04", "venue": "", "city": "Strasbourg", "country": "France", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": "Onsite" }, { "id": 404, "name": "Formation IFB Science Ouverte & PGD - Comment gérer des jeux de données haut-débit en sciences de la vie et de la santé - Session 2", "shortName": "FAIR data - Session 2", "description": "L’Institut Français de Bioinformatique (IFB) organise une formation à destination de bioinformaticiens, biologistes et médecins. La formation abordera les différents points fondamentaux (théoriques, pratiques, juridiques) en lien avec la politique nationale d’ouverture des données de la recherche et présentera sous forme de séances pratiques les ressources nationales accessibles à la communauté scientifique ainsi que les solutions proposées par l’IFB pour gérer les données d’un projet de recherche.", "homepage": "https://www.france-bioinformatique.fr/formation/fair-data-science-ouverte-et-pgd-session-2/", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_0219", "http://edamontology.org/topic_3571", "http://edamontology.org/topic_3420" ], "keywords": [ "Données" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "public", "maxParticipants": 20, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 3, "name": "IFB", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IFB/?format=api" } ], "organisedByOrganisations": [ { "id": 43, "name": "IFB-core", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB-core/?format=api" } ], "organisedByTeams": [ { "id": 29, "name": "IFB Core", "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api" } ], "logo_url": null, "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2021-11-15", "end_date": "2021-11-18", "venue": "Online zoom session", "city": "", "country": "France", "geographical_range": "National", "trainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/162/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/558/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/655/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/198/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/563/?format=api" ], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2021-09-27", "registration_closing": "2021-10-27", "registration_status": "closed", "courseMode": "Online" }, { "id": 485, "name": "IMGT® standards, databases, tools and web resources - Session 2022", "shortName": "IMGT workshop", "description": "Presentation of IMGT® patterns and resources for the study of genes, expressed repertoires and three-dimensional structures of immunoglobulins (antibodies) and T cell receptors.", "homepage": "https://www.biocampus.cnrs.fr/index.php/fr/ateliers-a-venir-inscriptions/68-presentation-des-standards-des-bases-de-donnees-outils-et-ressources-web-d-imgt", "is_draft": false, "costs": [], "topics": [ "http://edamontology.org/topic_3930", "http://edamontology.org/topic_3948" ], "keywords": [ "Protein structures", "Immune repertoire analysis", "Monoclonal antibody", "Immunology" ], "prerequisites": [ "Biologists" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/339/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 54, "name": "UM", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/UM/?format=api" } ], "organisedByTeams": [], "logo_url": null, "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2022-06-03", "end_date": null, "venue": "", "city": "Montpellier", "country": "France", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": "2022-05-20", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 504, "name": "NGS data analysis on the command line - Session 5", "shortName": "NGS-analysis-cli - session5", "description": "This hands-on course will teach bioinformatic approaches for analyzing Illumina sequencing data. Our goal is to introduce the command line skills you need to make the most of your NGS data. \r\nDuring this 4-day training we will first introduce the Linux environment, shell commands and basic R scripting. And then we will focus on two NGS data analyses -- small RNA-seq and RNA-seq -- based on published datasets from the model organism Arabidopsis thaliana", "homepage": "http://www.ibmp.cnrs.fr/bioinformatics-trainings/", "is_draft": false, "costs": [ "Free to academics" ], "topics": [ "http://edamontology.org/topic_0102", "http://edamontology.org/topic_3170", "http://edamontology.org/topic_2269", "http://edamontology.org/topic_3168" ], "keywords": [], "prerequisites": [ "none" ], "openTo": "Internal personnel", "accessConditions": "This training is dedicated to academics working in a laboratory of Unistra/CNRS.", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/124/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 79, "name": "UPR2357", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/UPR2357/?format=api" } ], "organisedByTeams": [ { "id": 14, "name": "BiGEst", "url": "https://catalogue.france-bioinformatique.fr/api/team/BiGEst/?format=api" } ], "logo_url": null, "updated_at": "2022-12-12T12:31:11.145062Z", "type": "Training course", "start_date": "2023-03-02", "end_date": "2023-03-06", "venue": "", "city": "Strasbourg", "country": "France", "geographical_range": "Local", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2023-01-05", "registration_closing": "2023-02-03", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 400, "name": "Diplôme Universitaire en Bioinformatique Intégrative - session 2020 / University Diploma in Integrative Bioinformatics - 2020 session", "shortName": "DUBii 2020", "description": "La bioinformatique est devenue une compétence incontournable pour l'analyse de données de nature diverse : génomes, transcriptomes, protéomes, métabolomes, structures macromoléculaires, réseaux d'interactions. L'appropriation par les biologistes des méthodes et outils de biostatistique et bioinformatique intégrative est un enjeu majeur pour la montée en compétence des équipes de recherche et des plateformes de service. L'université Paris Diderot propose en partenariat avec l'Institut Français de Bioinformatique (IFB) la deuxième édition du Diplôme Universitaire en Bioinformatique intégrative (DU-Bii). Cette formation s’adresse en priorité à des biologistes en demande d'évolution ou de reconversion professionnelle ayant déjà acquis des compétences (formation courte, autoapprentissage, expérience de terrain) en informatique ou bioinformatique/biostatistique (environnement Unix, Python ou R ou autre langage de programmation). Les prérequis sont décrits sur le portail “DU” de l’université Paris Diderot, qui présente le DU-Bii et le DU complémentaire \"Création, Analyse et Valorisation de données omiques\" (DUO) : voir la page dédiée. Le DU-Bii fournira une formation théorique et pratique, complétée par une période d'immersion sur l'une des plateformes régionales de l'IFB, qui mobilisera, dans le cadre d'un projet tutoré, l'ensemble des méthodes et outils appris durant les cours pour réaliser un projet personnel de bioinformatique intégrative. Ce projet combinera des données propres à chaque participant produites dans son laboratoire (principe BYOD : “Bring Your Own Data”) ou collectées à partir de bases de données publiques. Cette formation se déroulera pendant 8 semaines réparties entre : Les cours : 4 semaines à raison de 4 jours/semaine en présentiel (96h) du 2 mars au 2 avril 2020 avec 1 semaine de césure la semaine 12). Le projet tutoré : 20 jours sur l'une des plateformes bioinformatique de l'IFB, à répartir entre le 6 avril et le 19 juin 2020.\r\nRenseignements et candidatures : fcsdv@univ-paris-diderot.fr\r\nInscriptions : voir la page page du DU-Bii de l'Université Paris Diderot\r\nContacts Paris-Diderot : Bertrand.Cosson@univ-paris-diderot.fr \r\nContacts IFB : Helene.Chiapello@inra.fr, Jacques.van-Helden@univ-amu.fr", "homepage": "https://ressources.france-bioinformatique.fr/fr/diplome-universitaire-en-bioinformatique-integrative-du-bii-2020", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 15, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 4, "name": "IFB", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB/?format=api" }, { "id": 28, "name": "Université Paris-Diderot", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Universit%C3%A9%20Paris-Diderot/?format=api" } ], "organisedByTeams": [], "logo_url": null, "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2020-03-02", "end_date": "2020-11-18", "venue": "Université Paris Diderot", "city": "Paris", "country": "France", "geographical_range": "National", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": "2019-11-05", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 501, "name": "Autumn School #5 \"Bioinformatics and Biostatistical Tools in Medical Genomics\"", "shortName": "", "description": "Genopole et ses partenaires institutionnels lancent la 5e session de l’école thématique « Bioinformatique et biostatistiques pour la génomique en santé »\r\nCette formation est dédiée aux chercheurs, ingénieurs et doctorants et dispensée en anglais par des experts internationaux de la génomique.\r\nLes points forts de la formation :\r\n\r\n Des sessions de formation pratiques aux outils d’analyse génomique\r\n Des experts des grands centres nationaux et internationaux (Université d’Evry – Paris-Saclay, Inrae, CEA, CNRS, Université du Luxembourg, EMBL-EBI)\r\n Format résidentiel tout inclus dans un cadre accueillant et propice au networking\r\n Effectif limité à 15 participants pour une qualité optimale des sessions pratiques\r\n Formation éligible à la prise en charge employeurs ou OPCO", "homepage": "https://www.genopole.fr/temps-forts/agenda/genopole-summer-school-2022", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": null, "updated_at": "2022-11-14T16:43:03.315741Z", "type": "Training course", "start_date": "2022-11-21", "end_date": "2022-11-24", "venue": "", "city": "", "country": "France", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2022-10-28", "registration_closing": "2022-11-19", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 439, "name": "Annotation and analysis of prokaryotic genomes using the MicroScope platform - novembre 2022", "shortName": "MicroScope training - nov 2022", "description": "In an effort to inform members of the research community about our annotation methods, to provide training for collaborators and other scientists who use the MicroScope platfom, and to inform scientific public on the analysis available in PkGDB (Prokaryotic Genome DataBase), we have developed a 4.5-day course in Microbial Genome Annotation and Comparative Analysis using the MaGe graphical interfaces.\r\n\r\nThis course will familiarize attendees with LABGeM’s annotation pipeline and the manual annotation software MaGe (Magnifying Genome) . 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. Because of the numerous pre-computation available in our system (results of “common” annotation tools, synteny with all complete bacterial genomes, metabolic pathway reconstruction, fusion/fission events, genomic islands, …), many practical exercises allow attendees to get familiar with the use the MaGe graphical interfaces in order to efficiently explore these sets of results.", "homepage": "https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/training-annotation-analysis-of-prokaryotic-genomes-using-the-microscope-platform/", "is_draft": false, "costs": [ "2500 € for private companies", "1350 € for academics", "945 € for students" ], "topics": [ "http://edamontology.org/topic_0797", "http://edamontology.org/topic_0085", "http://edamontology.org/topic_3301" ], "keywords": [ "Genome analysis", "Sequence annotation" ], "prerequisites": [ "Licence" ], "openTo": "Everyone", "accessConditions": "External training sessions can also be scheduled on demand, in France or abroad. See : https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/external-microscope-professional-training-sessions/", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/90/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 15, "name": "Laboratory of Bioinformatics Analyses for Genomics and Metabolism", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Laboratory%20of%20Bioinformatics%20Analyses%20for%20Genomics%20and%20Metabolism/?format=api" } ], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 9, "name": "MicroScope", "url": "https://catalogue.france-bioinformatique.fr/api/team/MicroScope/?format=api" } ], "logo_url": null, "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2022-11-21", "end_date": "2022-11-25", "venue": "Evry University Paris Saclay", "city": "Evry", "country": "France", "geographical_range": "International", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2022-01-24", "registration_closing": "2022-10-20", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 488, "name": "Exploration de la Diversité Taxonomique des Ecosystèmes par Metabarcoding", "shortName": "", "description": "En matière de prospectives scientifiques, l’INSU OA, le CNRS et l’IRD ambitionnent de caractériser la biodiversité environnementale afin d’étudier l’impact du changement global sur les milieux et de l’anthropisation de la planète. Ces enjeux nécessitent l’acquisition de connaissances sur la biodiversité pour répondre aux grands défis planétaires (e.g. modéliser, anticiper, prévenir les catastrophes écologiques), aux objectifs de développement durable, et contribuer aux grandes transitions de la société dans un contexte de changement climatique.\r\n\r\nLe metabarcoding est aujourd’hui une des approches incontournable dans la description des écosystèmes pour répondre à ces enjeux scientifiques; elle offre une caractérisation exhaustive de la diversité taxonomique (composition en espèces et abondances) d’un écosystème via le séquençage massif de marqueurs d’intérêts (e.g. ARN ribosomaux 16S, 18S, gène COX, …) et le post-traitement bio-informatique des données générées.\r\n\r\nL’Action Nationale de Formation CNRS-INSU MetaBioDiv, portée par l’Institut Méditerranéen d’Océanologie (Armougom F., MIO) et la Délégation Régionale Côte d’Azur CNRS (DR20, Pierrette Finsac), propose à la communauté scientifique une formation sur la caractérisation de la biodiversité taxonomique d’écosystèmes (procaryotes et micro-eucaryotes) par le prisme du séquençage haut-débit Illumina (Miseq) et du traitement bio-informatique associé (outils R sous Rstudio).", "homepage": "https://anfmetabiodiv.mio.osupytheas.fr", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": null, "updated_at": "2022-06-22T13:22:34.141281Z", "type": "Training course", "start_date": "2022-09-05", "end_date": "2022-09-09", "venue": "Village Club les Miléades", "city": "Carry le Rouet", "country": "France", "geographical_range": "", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": "2022-07-30", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 466, "name": "Diplôme Universitaire en Bioinformatique Intégrative - session 2019 / University Diploma in Integrative Bioinformatics - 2019 session", "shortName": "DUBii 2019", "description": "La bioinformatique est devenue une compétence incontournable pour l'analyse de données de natures diverses : génomes, transcriptomes, protéomes, métabolomes, structures macromoléculaires, réseaux d'interactions. L'appropriation par les biologistes des méthodes et des outils de biostatistique et bioinformatique intégrative est un enjeu majeur pour la montée en compétence des équipes de recherche et des plateformes de service.\r\n\r\nL'université de Paris propose en partenariat avec l'Institut Français de Bioinformatique (IFB) la troisième édition du Diplôme Universitaire en Bioinformatique intégrative (DUBii). Cette formation s’adresse en priorité à des biologistes ou à des médecins souhaitant évoluer en compétences ou envisager une reconversion professionnelle et ayant déjà acquis des compétences (formation courte, autoapprentissage, expérience de terrain) en informatique ou bioinformatique / biostatistique (environnement Unix, Python ou R ou autre langage de programmation). \r\n\r\nLe DUBii fournira une formation théorique et pratique, complétée par une période d'immersion de 20 jours sur l'une des plateformes régionales de l'IFB, qui mobilisera, dans le cadre d'un projet tutoré, l'ensemble des méthodes et outils appris durant les cours pour réaliser un projet personnel de bioinformatique intégrative. Ce projet combinera des données propres à chaque participant produites dans son laboratoire (principe BYOD : “Bring Your Own Data”) ou collectées à partir de bases de données publiques. \r\n\r\n Cette formation se déroulera pendant 8 semaines réparties entre :\r\nLes cours : 4 semaines à raison de 4 jours/semaine en présentiel (96h)\r\nLe projet tutoré : 20 jours sur l'une des plateformes bioinformatique de l'IFB", "homepage": "https://ressources.france-bioinformatique.fr/fr/du-bii", "is_draft": false, "costs": [], "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": "2019-01-28", "end_date": "2019-06-14", "venue": "", "city": "Paris", "country": "France", "geographical_range": "National", "trainers": [], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": "2018-07-01", "registration_closing": "2018-10-15", "registration_status": "closed", "courseMode": "Onsite" }, { "id": 475, "name": "Cluster - session 2022/03/15", "shortName": "", "description": "This training session is designed to help you deal with the platform compute cluster and data banks. 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Cette édition de l’école aborde les nouveaux enjeux technologiques: elle s’articulera autour de trois ateliers thématiques en session parallèle (RNA-seq, ChIP-seq/ATAC-seq, variants DNA-seq), et inclura une introduction à l’intégration des données, une ouverture aux approches “single-cell” ainsi qu’aux technologies “long reads”.\r\n\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://www.france-bioinformatique.fr/formation/ebaii-2022-n1/", "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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Les concepts FAIR, initialement définis dans le contexte d’ouverture des données de la recherche, seront ici adaptés pour cadrer avec un projet type de développement et/ou analyse bioinformatique/biostatistique. Ainsi, la formation n’abordera pas les aspects “FAIR” spécifiques aux données mais introduira plusieurs outils permettant d’améliorer la reproductibilité des analyses.", "homepage": "https://ifb-elixirfr.github.io/IFB-FAIR-bioinfo-training/", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0769" ], "keywords": [ "Computing Environments", "NGS Sequencing Data Analysis", "Workflow development" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": null, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 3, "name": "IFB", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IFB/?format=api" } ], "organisedByOrganisations": [ { "id": 43, "name": "IFB-core", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB-core/?format=api" }, { "id": 64, "name": "I2BC", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/I2BC/?format=api" } ], "organisedByTeams": [], "logo_url": null, "updated_at": "2022-06-02T11:50:50.627601Z", "type": "Training course", "start_date": "2021-06-28", "end_date": "2021-06-30", "venue": "Institut des Systèmes Complexes\r\n113 rue Nationale 75013\r\nParis\r\nMétros : Olympiades (L14) ou Nationale (L6)\r\nStation Vélib : place Nationale.", "city": "Paris", "country": "France", "geographical_range": "National", "trainers": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/737/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/697/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/563/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/605/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/362/?format=api" ], "trainingMaterials": [], "computingFacilities": [], "realisation_status": "past", "registration_opening": null, "registration_closing": null, "registration_status": "unknown", "courseMode": "Online" }, { "id": 414, "name": "Diplôme Universitaire en Bioinformatique Intégrative - session 2021 / University Diploma in Integrative Bioinformatics - 2021 session", "shortName": "DUBii 2021", "description": "La bioinformatique est devenue une compétence incontournable pour l'analyse de données de nature diverse : génomes, transcriptomes, protéomes, métabolomes, structures macromoléculaires, réseaux d'interactions. L'appropriation par les biologistes des méthodes et outils de biostatistique et bioinformatique intégrative est un enjeu majeur pour la montée en compétence des équipes de recherche et des plateformes de service.\r\n\r\nL'université Paris Diderot propose en partenariat avec l'Institut Français de Bioinformatique (IFB) la deuxième édition du Diplôme Universitaire en Bioinformatique intégrative (DU-Bii). Cette formation s’adresse en priorité à des biologistes en demande d'évolution ou de reconversion professionnelle ayant déjà acquis des compétences (formation courte, autoapprentissage, expérience de terrain) en informatique ou bioinformatique/biostatistique (environnement Unix, Python ou R ou autre langage de programmation). Les prérequis sont décrits sur le portail “DU” de l’université Paris Diderot, qui présente le DU-Bii et le DU complémentaire \"Création, Analyse et Valorisation de données omiques\" (DUO).\r\n\r\nLe DU-Bii fournira une formation théorique et pratique, complétée par une période d'immersion sur l'une des plateformes régionales de l'IFB, qui mobilisera, dans le cadre d'un projet tutoré, l'ensemble des méthodes et outils appris durant les cours pour réaliser un projet personnel de bioinformatique intégrative. 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