Training List
Handles creating, reading and updating training events.
GET /api/training/?format=api&offset=320&ordering=-topics
{ "count": 395, "next": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=340&ordering=-topics", "previous": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=300&ordering=-topics", "results": [ { "id": 305, "name": "Initiation à Git / Git Initiation", "shortName": "Git Initiation", "description": "Objectifs\r\n- Savoir définir ce qu’est un outil de gestion de version\r\n- Être capable d’initialiser un entrepôt Git pour un projet\r\n- Être capable de définir quels fichiers inclure/exclure d’un projet\r\n- Savoir enregistrer localement une nouvelle version pour un projet\r\n- Savoir partager des modifications locales avec tous les contributeurs d’un projet\r\n- Savoir gérer des modifications en parallèle en utilisant les branches.\r\n- Connaître les bonnes pratiques pour contribuer à projet tiers\r\nProgramme :\r\n- Présentation des avantages de la gestion de versions (projets individuels & projets collaboratifs)\r\n- Présentation des principes de fonctionnement de Git\r\n- Présentation et mise en œuvre des commandes principales de Git (clone, checkout, add, rm, commit, merge,\r\npush, pull) ; en ligne de commande ou en utilisant une interface graphique (GitHub et GitLab)", "homepage": "https://abims.sb-roscoff.fr/training/courses", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3372" ], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 18, "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/abims.sb-roscoff.fr/files/logos/abims/abims.png", "updated_at": "2026-02-05T08:15:52.976286Z", "audienceTypes": [ "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 1, "hoursHandsOn": 3, "hoursTotal": 4, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/458/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/496/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/524/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/626/?format=api" ] }, { "id": 418, "name": "Python basics", "shortName": "", "description": "Bilille offers a training session on basics with Python language.\r\n\r\nThis training session will introduce the Python language.\r\n\r\nThe training is mainly designed for biologists (researchers, engineers, technicians).\r\n\r\nThe training covers the following topics:\r\n- Introduction to Python and Visual Code Studio\r\n- Variables\r\n- Lists\r\n- Dictionaries\r\n- Conditions\r\n- Loops\r\n- Jupyter notebooks\r\n- Functions\r\n- Packages\r\n- Reading and writing files\r\n- Dataframes\r\n- Plots\r\n- Bring your own analysis: during the final half-day, participants will have the opportunity to write a script based on the analysis of their choice.", "homepage": "https://bilille.univ-lille.fr/training/training-offer", "is_draft": false, "costs": [ "Free to academics" ], "topics": [ "http://edamontology.org/topic_0091", "http://edamontology.org/topic_3372" ], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Prerequisite: Basic computer skills for everyday use.", "maxParticipants": null, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/763/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 66, "name": "University of Lille", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20of%20Lille/?format=api" }, { "id": 56, "name": "INSERM", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api" }, { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?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": "2026-09-10T09:54:02.036444Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/818/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/819/?format=api" ] }, { "id": 365, "name": "BIGomics, Génomique Comparative", "shortName": "BOGC", "description": "Ce module vise à fournir une expérience d’analyse de données de génomique.\r\nLes technologies Next Generation Sequencing (NGS) ont conduit à une production massive de\r\ndonnées « Omiques » pour les plantes cultivées majeures, ce qui demande de nouvelles\r\napproches d’analyses haut débit. La connaissance de ces approches et des outils qui en\r\ndécoulent pour analyser la séquence et la structure des génomes, les annoter et caractériser\r\nleur diversité et leurs profils d’expression permet d’aborder des questions de recherche\r\nbiologique avancée sur la diversité et l’adaptation des plantes. Les espèces prises en\r\nconsidération sont des espèces phares des instituts de recherche agronomique de Montpellier\r\net font partie des cultures les plus importantes pour l’agriculture mondiale. Des plateformes\r\nd’outils bioinformatiques récents reposant sur des centres de calcul et de stockage haute\r\ncapacité, sont en place pour analyser des jeux de données originales permettant de mieux\r\ncomprendre comment les génomes de plantes évoluent et s’expriment. L’ensemble de ces\r\nconnaissances Findable, Accessible, Interoperable, Reusable car intégré dans des systèmes\r\nd’information peut soutenir l'identification de gènes responsables de caractères adaptatifs ou\r\nde production. La mobilisation de jeunes chercheurs sur ces sujets est primordiale tant la\r\ndemande est importante.\r\nLe module est structuré sous la forme de cours et de travaux tutorés avec la rencontre de\r\ngénéticiens et de bioinformaticiens permettant d’appréhender les formes variées des progrès\r\nen bioanalyse génomique. Il permet d’acquérir les lignes directrices pour l’accès, l'utilisation\r\net l'analyse de différents types de données omique (e.g. (épi)génomique, transcriptomique,\r\nprotéique, métabolique) en vue d’accélérer les recherches en génomique fonctionnelle et\r\nbiotechnologie des plantes.\r\nL’évaluation sera faite sur la base de la participation et de la qualité du projet proposé par\r\nl’étudiant en fin de module, individuellement ou en binôme, suivant les consignes détaillées en\r\ndébut de module", "homepage": "https://bioagro.edu.umontpellier.fr/files/2021/04/HAA906V_Bigomics.pdf", "is_draft": false, "costs": [ "Free to academics" ], "topics": [ "http://edamontology.org/topic_3056", "http://edamontology.org/topic_0797", "http://edamontology.org/topic_0780", "http://edamontology.org/topic_3810" ], "keywords": [ "Phylogeny", "Biodiversity", "NGS Data Analysis" ], "prerequisites": [ "Basic knowledge of R" ], "openTo": "Everyone", "accessConditions": "Inscription via un formulaire Moodle", "maxParticipants": 50, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/573/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 85, "name": "IRD", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IRD/?format=api" }, { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" }, { "id": 50, "name": "CIRAD", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CIRAD/?format=api" } ], "organisedByTeams": [ { "id": 24, "name": "South Green", "url": "https://catalogue.france-bioinformatique.fr/api/team/South%20Green/?format=api" } ], "logo_url": "https://raw.githubusercontent.com/SouthGreenPlatform/trainings/gh-pages/images/southgreenlong.png", "updated_at": "2024-03-20T11:30:31.480815Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 16, "hoursHandsOn": 34, "hoursTotal": 50, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/591/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/605/?format=api" ] }, { "id": 287, "name": "Introduction to Oxford Nanopore Technology data analyses", "shortName": "Introduction to ONT data analyses", "description": "This course offers an introduction to ONT data analysis. It includes 5 issues: basecalling, reads quality control, assemblies and polishing/correction, contig quality and structural variants detection.", "homepage": "https://southgreenplatform.github.io/trainings//ont/", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3673", "http://edamontology.org/topic_0196", "http://edamontology.org/topic_3168" ], "keywords": [], "prerequisites": [ "Linux and knowledge of NGS formats" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 15, "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": "https://southgreenplatform.github.io/trainings//images/southgreenlong.png", "updated_at": "2023-01-24T10:21:58.467251Z", "audienceTypes": [ "Professional (initial)" ], "audienceRoles": [ "Life scientists", "Biologists" ], "difficultyLevel": "Novice", "trainingMaterials": [ { "id": 1, "name": "SG-ONT-slides", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/SG-ONT-slides/?format=api" } ], "learningOutcomes": "* Understanding limits and advantages of ONT technology\r\n* Manipulating ONT data on a virtual machine on jupyter environment\r\n* Handling mapping, assembly, polishing tools and be able to analyse your own data\r\n* Detecting structural variations using long reads", "hoursPresentations": 6, "hoursHandsOn": 6, "hoursTotal": 12, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/441/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/450/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/562/?format=api" ] }, { "id": 335, "name": "FAIR_bioinfo_@_AuBi", "shortName": "FAIR_bioinfo", "description": "Introduction aux bonnes pratiques en bio-informatique afin de pérenniser son travail de recherche.\r\n\r\nCette formation permet de découvrir les bonnes pratiques dans le cadre d’un travail nécessitant des approches programmatiques (statistiques, programmation d’outils, analyses de données biologiques). Elle s’inscrit aussi dans l’aspect science-ouverte afin de rendre plus facilement disponible et pérenne le travail bio-informatique. Après une introduction aux pratiques FAIR axées notamment sur les notions de reproductibilité et de répétabilité du code, plusieurs approches seront abordées: les bonnes pratiques de partage et gestion des versions des outils utilisés ; la gestion des environnements de travail (conda, docker, singularity) ; découverte du gestionnaire de workflow Snakemake : et enfin la documentation du code avec Rmarkdown et Jupyter.", "homepage": "https://mesocentre.uca.fr/actualites/pratiques-fair-en-bioinformatique-pour-des-analyses-reproductibles", "is_draft": false, "costs": [ "Free to academics" ], "topics": [ "http://edamontology.org/topic_0769", "http://edamontology.org/topic_3068", "http://edamontology.org/topic_3307", "http://edamontology.org/topic_0091" ], "keywords": [ "Methodology", "Programming Languages & Computer Sciences", "Cloud", "Linux", "Snakemake", "Docker", "R" ], "prerequisites": [ "Linux - Basic Knowledge" ], "openTo": "Everyone", "accessConditions": "Having an account on Mesocentre Clermont Auvergne Infrastructure", "maxParticipants": 15, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/261/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 87, "name": "AuBi", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/AuBi/?format=api" }, { "id": 94, "name": "University Clermont Auvergne", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20Clermont%20Auvergne/?format=api" } ], "organisedByTeams": [ { "id": 31, "name": "AuBi", "url": "https://catalogue.france-bioinformatique.fr/api/team/AuBi/?format=api" } ], "logo_url": "https://mesocentre.uca.fr/medias/photo/logoaubi-2019minus_1553844844490-jpg?ID_FICHE=41175", "updated_at": "2023-06-14T10:18:52.160465Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 10, "hoursHandsOn": 20, "hoursTotal": 30, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/537/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/709/?format=api" ] }, { "id": 395, "name": "AlphaFold et au-delà : Modélisation de la structure 3D des protéines avec des outils d’IA / AlphaFold & beyond: 3D Protein Structure Modeling with AI Tools", "shortName": "AlphaFold", "description": "L’Institut Français de Bioinformatique organise en partenariat avec l'IDRIS et les plateformes PRABI-AMS, BIOI2, CUBIC, RPBS et Bilille une nouvelle formation intitulée: “AlphaFold et au-delà : Modélisation de la structure 3D des protéines avec des outils d’IA / AlphaFold & beyond: 3D Protein Structure Modeling with AI Tools”.", "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=43", "is_draft": false, "costs": [], "topics": [ "http://edamontology.org/topic_1317", "http://edamontology.org/topic_3542", "http://edamontology.org/topic_3534", "http://edamontology.org/topic_0736", "http://edamontology.org/topic_0091" ], "keywords": [ "Artificial Intelligence", "Comparative and de novo structure modeling", "alphafold", "Post-translational modifications" ], "prerequisites": [ "Linux/Unix" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 15, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=api" ], "elixirPlatforms": [ { "id": 1, "name": "Training", "url": "https://catalogue.france-bioinformatique.fr/api/elixirplatform/Training/?format=api" } ], "communities": [], "sponsoredBy": [ { "id": 3, "name": "IFB", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IFB/?format=api" } ], "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://moodle.france-bioinformatique.fr/pluginfile.php/1/core_admin/logocompact/300x300/1654772049/IFB-HAUT-COULEUR-PETIT.png", "updated_at": "2025-07-16T11:36:28.519489Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Life scientists", "Bioinformaticians" ], "difficultyLevel": "Advanced", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/725/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/820/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/804/?format=api" ] }, { "id": 274, "name": "Principes FAIR pour la gestion des données de recherche en sciences de la vie", "shortName": "FAIR data", "description": "Présentation et application des principes FAIR de gestion des données dans un projet bioinformatique.\r\nL’Institut Français de Bioinformatique (IFB) organise une formation à destination de bioinformaticiens, biologistes et médecins impliqués dans des projets d’analyse bioinformatique de jeux de données omiques et souhaitant mettre en œuvre les principes “FAIR” (Facile à trouver, Accessible, Interopérable, Réutilisable) tout au long du déroulement du projet. 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://ifb-elixirfr.github.io/IFB-FAIR-data-training/", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3571", "http://edamontology.org/topic_3420", "http://edamontology.org/topic_0219" ], "keywords": [ "Données" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "public", "maxParticipants": null, "contacts": [], "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": "https://www.france-bioinformatique.fr/wp-content/uploads/logo-ifb-couleur.svg", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "A la fin de cette formation, les participants connaîtront et pourront mettre en œuvre les principes de la science ouverte pour gérer leurs jeux de données dans un projet :\r\n- Les principes fondamentaux de l’Open Data en biologie et santé, y compris dans ses aspects juridiques ;\r\n- Les bonnes pratiques et outils de gestion des données d’un projet en bioinformatique, en lien avec les ressources de l’infrastructure IFB ;\r\n- Le PGD : séances théoriques et pratiques de construction d’un PGD sur des exemples de jeux de données omiques ;\r\n- Le choix des métadonnées : panorama des ressources existantes pour choisir des métadonnées et mise en pratique pour annoter des jeux de données omiques en vue de la publication des données dans une banque internationale ou un dataverse institutionnel.", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/418/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/404/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/465/?format=api" ] }, { "id": 326, "name": "Principes FAIR pour la gestion des données d'une plateforme IBISA", "shortName": "FAIR data IBISA", "description": "Cette session de formation a pour but de former des responsables et membres de plateformes IBISA aux principes FAIR de gestion des données .\r\nLa formation se déroule sur 2 jours avec une alternance de présentation générales, et techniques, témoignages et ateliers pratiques pour travailler sur différents sujets : PGD de structure, métadonnées, sécurité des données,...etc.\r\nA la fin de cette formation auront \r\n- acquis des connaissances théoriques et pratiques sur la gestion selon les principes FAIR de leurs données dans le contexte de la Science Ouverte\r\n- identifié des pistes d'amélioration pour la gestion des données de leur plateforme.", "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=16", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3571", "http://edamontology.org/topic_3420", "http://edamontology.org/topic_0219" ], "keywords": [ "Données" ], "prerequisites": [ "Biologists" ], "openTo": "Internal personnel", "accessConditions": "private for IBISA platform staff", "maxParticipants": 30, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/162/?format=api", "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": "https://moodle.france-bioinformatique.fr/pluginfile.php/1/core_admin/logocompact/300x300/1654772049/IFB-HAUT-COULEUR-PETIT.png", "updated_at": "2023-08-22T14:25:08.237204Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [], "difficultyLevel": "Intermediate", "trainingMaterials": [], "learningOutcomes": "A la fin de cette formation, les participants connaîtront et pourront mettre en œuvre les principes de la science ouverte pour gérer leurs jeux de données dans un projet :\r\n- Les principes fondamentaux de l’Open Data en biologie et santé, y compris dans ses aspects juridiques ;\r\n- Les bonnes pratiques et outils de gestion des données d’un projet en bioinformatique, en lien avec les ressources de l’infrastructure IFB ;\r\n- Le PGD : séances théoriques et pratiques de construction d’un PGD sur des exemples de jeux de données omiques ;\r\n- Le choix des métadonnées : panorama des ressources existantes pour choisir des métadonnées et mise en pratique pour annoter des jeux de données omiques en vue de la publication des données dans une banque internationale ou un dataverse institutionnel.", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/627/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/513/?format=api" ] }, { "id": 317, "name": "Datathon AGENT - FAIRDOM", "shortName": "FAIRDOM", "description": "Datathon on experimental phenotypic data management using the FAIRDOM platform, and submission workflow using curation & validation tools.", "homepage": "", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3365", "http://edamontology.org/topic_3571", "http://edamontology.org/topic_3366", "http://edamontology.org/topic_3572", "http://edamontology.org/topic_0625", "http://edamontology.org/topic_0780", "http://edamontology.org/topic_0091" ], "keywords": [ "Données" ], "prerequisites": [ "Attendees will bring their own data" ], "openTo": "Internal personnel", "accessConditions": "For H2020-AGENT project members only", "maxParticipants": null, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/504/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/8/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 21, "name": "H2020-AGENT", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/H2020-AGENT/?format=api" } ], "organisedByOrganisations": [ { "id": 39, "name": "URGI - US1164", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/URGI%20-%20US1164/?format=api" }, { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" } ], "organisedByTeams": [ { "id": 26, "name": "URGI", "url": "https://catalogue.france-bioinformatique.fr/api/team/URGI/?format=api" } ], "logo_url": "https://urgi.versailles.inra.fr/extension/inra/design/urgi/images/logoURGI_res72_2-82X1-98.png", "updated_at": "2025-09-13T13:27:42.544621Z", "audienceTypes": [ "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": true, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/737/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/735/?format=api" ] }, { "id": 318, "name": "Gestion des données d’expériences de phénotypage de plantes : standards et cas d’utilisation", "shortName": "FAIR Data Pheno", "description": "Cette formation donnera un aperçu des pratiques et méthodes actuelles pour la standardisation des données de phénotypage des plantes, et ce de manière de traiter la variabilité et l'hétérogénéité inhérentes aux jeux de données de recherche et de sélection.\r\nLe but de cette formation est double : 1) diffuser les bonnes pratiques pour une gestion FAIR des données de phénotypage de plantes, 2) consolider une formation modulaire adaptée à un maximum de besoins, du débutant qui souhaite partager des données standardisées dans Recherche Data Gouv, à l'utilisateur avancé qui souhaite faire de la sémantique ou utiliser des portails de données fédérés. La formation se déroulera avec une alternance de présentations générales et techniques et d'ateliers pratiques.", "homepage": "", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3571", "http://edamontology.org/topic_3572", "http://edamontology.org/topic_0219", "http://edamontology.org/topic_0625", "http://edamontology.org/topic_0780" ], "keywords": [ "Données" ], "prerequisites": [ "none" ], "openTo": "Everyone", "accessConditions": "Public", "maxParticipants": null, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/441/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/504/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 39, "name": "URGI - US1164", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/URGI%20-%20US1164/?format=api" }, { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" } ], "organisedByTeams": [ { "id": 26, "name": "URGI", "url": "https://catalogue.france-bioinformatique.fr/api/team/URGI/?format=api" } ], "logo_url": "https://urgi.versailles.inra.fr/extension/inra/design/urgi/images/logoURGI_res72_2-82X1-98.png", "updated_at": "2025-09-12T12:48:25.868728Z", "audienceTypes": [ "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "A l'issue de cette formation, les participants auront acquis des connaissances théoriques et pratiques sur :\r\n* la gestion des données de phénotypage des plantes selon les principes FAIR\r\n* l'utilisation des standards de (méta)données des communautés végétales\r\n* la standardisation d'un jeu de données au format MIAPPE\r\n* l'identification des moyens à mettre en oeuvre pour améliorer la gestion de leurs données", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/677/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/731/?format=api" ] }, { "id": 395, "name": "AlphaFold et au-delà : Modélisation de la structure 3D des protéines avec des outils d’IA / AlphaFold & beyond: 3D Protein Structure Modeling with AI Tools", "shortName": "AlphaFold", "description": "L’Institut Français de Bioinformatique organise en partenariat avec l'IDRIS et les plateformes PRABI-AMS, BIOI2, CUBIC, RPBS et Bilille une nouvelle formation intitulée: “AlphaFold et au-delà : Modélisation de la structure 3D des protéines avec des outils d’IA / AlphaFold & beyond: 3D Protein Structure Modeling with AI Tools”.", "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=43", "is_draft": false, "costs": [], "topics": [ "http://edamontology.org/topic_1317", "http://edamontology.org/topic_3542", "http://edamontology.org/topic_3534", "http://edamontology.org/topic_0736", "http://edamontology.org/topic_0091" ], "keywords": [ "Artificial Intelligence", "Comparative and de novo structure modeling", "alphafold", "Post-translational modifications" ], "prerequisites": [ "Linux/Unix" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 15, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=api" ], "elixirPlatforms": [ { "id": 1, "name": "Training", "url": "https://catalogue.france-bioinformatique.fr/api/elixirplatform/Training/?format=api" } ], "communities": [], "sponsoredBy": [ { "id": 3, "name": "IFB", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IFB/?format=api" } ], "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://moodle.france-bioinformatique.fr/pluginfile.php/1/core_admin/logocompact/300x300/1654772049/IFB-HAUT-COULEUR-PETIT.png", "updated_at": "2025-07-16T11:36:28.519489Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Life scientists", "Bioinformaticians" ], "difficultyLevel": "Advanced", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/725/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/820/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/804/?format=api" ] }, { "id": 335, "name": "FAIR_bioinfo_@_AuBi", "shortName": "FAIR_bioinfo", "description": "Introduction aux bonnes pratiques en bio-informatique afin de pérenniser son travail de recherche.\r\n\r\nCette formation permet de découvrir les bonnes pratiques dans le cadre d’un travail nécessitant des approches programmatiques (statistiques, programmation d’outils, analyses de données biologiques). Elle s’inscrit aussi dans l’aspect science-ouverte afin de rendre plus facilement disponible et pérenne le travail bio-informatique. Après une introduction aux pratiques FAIR axées notamment sur les notions de reproductibilité et de répétabilité du code, plusieurs approches seront abordées: les bonnes pratiques de partage et gestion des versions des outils utilisés ; la gestion des environnements de travail (conda, docker, singularity) ; découverte du gestionnaire de workflow Snakemake : et enfin la documentation du code avec Rmarkdown et Jupyter.", "homepage": "https://mesocentre.uca.fr/actualites/pratiques-fair-en-bioinformatique-pour-des-analyses-reproductibles", "is_draft": false, "costs": [ "Free to academics" ], "topics": [ "http://edamontology.org/topic_0769", "http://edamontology.org/topic_3068", "http://edamontology.org/topic_3307", "http://edamontology.org/topic_0091" ], "keywords": [ "Methodology", "Programming Languages & Computer Sciences", "Cloud", "Linux", "Snakemake", "Docker", "R" ], "prerequisites": [ "Linux - Basic Knowledge" ], "openTo": "Everyone", "accessConditions": "Having an account on Mesocentre Clermont Auvergne Infrastructure", "maxParticipants": 15, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/261/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 87, "name": "AuBi", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/AuBi/?format=api" }, { "id": 94, "name": "University Clermont Auvergne", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20Clermont%20Auvergne/?format=api" } ], "organisedByTeams": [ { "id": 31, "name": "AuBi", "url": "https://catalogue.france-bioinformatique.fr/api/team/AuBi/?format=api" } ], "logo_url": "https://mesocentre.uca.fr/medias/photo/logoaubi-2019minus_1553844844490-jpg?ID_FICHE=41175", "updated_at": "2023-06-14T10:18:52.160465Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 10, "hoursHandsOn": 20, "hoursTotal": 30, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/537/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/709/?format=api" ] }, { "id": 418, "name": "Python basics", "shortName": "", "description": "Bilille offers a training session on basics with Python language.\r\n\r\nThis training session will introduce the Python language.\r\n\r\nThe training is mainly designed for biologists (researchers, engineers, technicians).\r\n\r\nThe training covers the following topics:\r\n- Introduction to Python and Visual Code Studio\r\n- Variables\r\n- Lists\r\n- Dictionaries\r\n- Conditions\r\n- Loops\r\n- Jupyter notebooks\r\n- Functions\r\n- Packages\r\n- Reading and writing files\r\n- Dataframes\r\n- Plots\r\n- Bring your own analysis: during the final half-day, participants will have the opportunity to write a script based on the analysis of their choice.", "homepage": "https://bilille.univ-lille.fr/training/training-offer", "is_draft": false, "costs": [ "Free to academics" ], "topics": [ "http://edamontology.org/topic_0091", "http://edamontology.org/topic_3372" ], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Prerequisite: Basic computer skills for everyday use.", "maxParticipants": null, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/763/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 66, "name": "University of Lille", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20of%20Lille/?format=api" }, { "id": 56, "name": "INSERM", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INSERM/?format=api" }, { "id": 52, "name": "CNRS", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS/?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": "2026-09-10T09:54:02.036444Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/818/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/819/?format=api" ] }, { "id": 413, "name": "Galaxy Beyond Basics: Mastering Workflows, Automation, and Scalability", "shortName": "Galaxy avancée", "description": "Join us for an intensive, week-long, in-person training designed to elevate your Galaxy expertise to new heights. This workshop is tailored for data scientists, advanced Galaxy users, and team leaders who need to scale, automate, and publish their data analysis workflows for batch processing and production-level applications.\r\n\r\nOver five days, you’ll embark on a comprehensive journey through Galaxy’s advanced capabilities:\r\n\r\nMonday: Introduction & Workflow Development\r\n\r\nStart with a welcome and icebreaker to foster collaboration, followed by a brief overview of Galaxy and its workflow features. Dive into hands-on workflow development, where you’ll learn to design clean, efficient workflows, customize them with parameters, and generate user-friendly workflow reports—combining theory with practical application.\r\n\r\nTuesday: Workflow FAIRification, Documentation, and Export\r\n\r\nBegin with a recap of Day 1, then explore UseGalaxy.fr and its unique features. Learn to annotate workflows with metadata, apply best practices for FAIR compliance, and implement tests to ensure reliability. Publish your workflows to WorkflowHub and Dockstore via the IWC. Develop high-resolution workflow visualizations and create interactive tutorials using a “Choose Your Own Tutorial” approach. Finally, master workflow export by creating RO-Crates for reproducibility and submitting workflows to LifeMonitor for performance tracking.\r\n\r\nWednesday: Scaling Workflows & Galaxy Using Command-Line and API\r\n\r\nStart with a recap and real-world examples of large-scale Galaxy projects. Learn to execute workflows from the command line using Planemo, automate batch processing with shell scripts, and analyze performance for efficiency. Discover how to scale Galaxy use with BioBlend, designing Python scripts for batch workflow execution and evaluating scalability. The day concludes with an introduction to the “Bring Your Own Work” session.\r\n\r\nThursday: Bring Your Own Work (BYOW)\r\n\r\nDedicate the day to applying your new skills to your own projects. With guidance from trainers, refine your workflows, troubleshoot challenges, and implement solutions using your personal data. Collaborate with peers, document your progress, and optimize your workflows to leave with actionable results for your research.\r\n\r\nFriday: Storage, Data Management, Recap, and Closing\r\n\r\nThe final half-day begins with a recap of the week’s progress, followed by a session on “Bring Your Own Storage”, exploring how to integrate personal or institutional storage with Galaxy. Learn about managing databases in Galaxy and the IDC (Intergalactic Data Commission) effort for efficient data organization. The workshop concludes with a general recap, supplementary exercises, and feedback and closing remarks, ensuring you leave with a comprehensive understanding and resources for continued success.\r\n\r\nThis training will be conducted in French, while the materials (slides) will be in English.\r\n\r\nLearning Objectives\r\nAt the end of the workshop, you will be able to:\r\n\r\nWorkflow development\r\n Understand the key aspects of workflows by identifying their core components and purpose.\r\n Create clean, non-repetitive workflows by applying best practices for process design.\r\n Use workflow parameters to customize and optimize workflows for specific tasks.\r\n Generate user-friendly workflow reports to display workflow results in a structured way.\r\nWorkflow FAIRyfication\r\n Annotate a Galaxy workflow with essential metadata to ensure it is findable and reusable.\r\n Apply best practices to data analysis workflows to improve consistency and interoperability.\r\n Implement robust tests to validate workflow reliability and accuracy.\r\n Publish a Galaxy workflow on WorkflowHub and Dockstore via its integration into the IWC, demonstrating enhanced findability,accessibility, interroperability and usability for the scientific community.\r\nWorkflow Documentation\r\n Design a high-resolution workflow image optimized for documentation and presentations.\r\n Develop a hands-on tutorial with a “Choose Your Own Tutorial” approach, including:\r\n A step-by-step tutorial with skeleton generation from the workflow.\r\n A real-time tutorial that runs and explains the workflow interactively.\r\n Produce a final documentation package that includes both tutorial formats and high-resolution visuals.\r\nWorkflow Export\r\n Apply the process of creating a Galaxy Workflow Run RO-Crate by packaging a workflow with its metadata, inputs, and outputs, ensuring it is reproducible and FAIR-compliant.\r\n Evaluate the completeness and accuracy of a Galaxy Workflow Run RO-Crate by reviewing its structure, metadata, and included files for adherence to best practices.\r\n Submit a workflow to LifeMonitor, analyzing the platform’s feedback to assess workflow performance and improve its reliability for future use.\r\nWorkflow Scaling using command-line\r\nExecute workflows from the command line using the Planemo run subcommand, demonstrating the ability to run and monitor workflows outside the Galaxy interface.\r\nDevelop simple shell scripts to automate the execution of multiple workflows concurrently or sequentially, optimizing efficiency and scalability.\r\nAnalyze the performance and resource usage of workflows run via shell scripts, evaluating the effectiveness of scaling strategies for large-scale data processing.\r\nScaling Galaxy Use with the API and BioBlend\r\nUtilize the BioBlend library to programmatically interact with Galaxy, executing workflows, managing datasets, and automating repetitive tasks.\r\nDesign a Python script using BioBlend to scale Galaxy workflows for batch processing, ensuring efficient resource use and reproducibility.\r\nEvaluate the performance and scalability of workflows executed via BioBlend, comparing results with manual Galaxy interactions to identify improvements.\r\n“Bring Your Own Work”\r\nApply the concepts and tools learned during the training to develop or refine your own workflows using your personal data, with guidance from trainers.\r\nTroubleshoot challenges in your workflow or data analysis, implementing solutions with the support of trainers and peers.\r\nDemonstrate progress in your project by documenting your workflow, results, and any optimizations made during the sessions.\r\n\r\nRequirements\r\nPrior knowledge and experience using Galaxy\r\nPrior knowledge and experience using command line\r\nFluent in French (materials will be in English and discussions will happen in French)\r\nYour own computer\r\nOptional but encouraged: your own workflow and dataset for the Bring Your Own Work (BYOW) session. The workflow and the dataset must be shareable and non-sensitive (i.e., they must not contain any patient-related information or confidential data). The dataset size must be small.", "homepage": "https://training.galaxyproject.org/training-material/events/2026-10-12-Advanced-Galaxy-Training.html#overview", "is_draft": false, "costs": [ "700 euros HT" ], "topics": [ "http://edamontology.org/topic_3316", "http://edamontology.org/topic_0769", "http://edamontology.org/topic_0091" ], "keywords": [ "Reproducibility", "Galaxy", "Workflow development" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "NA", "maxParticipants": 20, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/810/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/762/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/116/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/362/?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": "https://training.galaxyproject.org/training-material/assets/images/GTN.png", "updated_at": "2026-04-23T08:22:23.122272Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Computer scientists", "Bioinformaticians", "All" ], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "At the end of the workshop, you will be able to:\r\n\r\nWorkflow development\r\nUnderstand the key aspects of workflows by identifying their core components and purpose.\r\nCreate clean, non-repetitive workflows by applying best practices for process design.\r\nUse workflow parameters to customize and optimize workflows for specific tasks.\r\nGenerate user-friendly workflow reports to display workflow results in a structured way.\r\nWorkflow FAIRyfication\r\nAnnotate a Galaxy workflow with essential metadata to ensure it is findable and reusable.\r\nApply best practices to data analysis workflows to improve consistency and interoperability.\r\nImplement robust tests to validate workflow reliability and accuracy.\r\nPublish a Galaxy workflow on WorkflowHub and Dockstore via its integration into the IWC, demonstrating enhanced findability, accessibility, interroperability and usability for the scientific community.\r\nWorkflow Documentation\r\nDesign a high-resolution workflow image optimized for documentation and presentations.\r\nDevelop a hands-on tutorial with a “Choose Your Own Tutorial” approach, including:\r\nA step-by-step tutorial with skeleton generation from the workflow.\r\nA real-time tutorial that runs and explains the workflow interactively.\r\nProduce a final documentation package that includes both tutorial formats and high-resolution visuals.\r\nWorkflow Export\r\nApply the process of creating a Galaxy Workflow Run RO-Crate by packaging a workflow with its metadata, inputs, and outputs, ensuring it is reproducible and FAIR-compliant.\r\nEvaluate the completeness and accuracy of a Galaxy Workflow Run RO-Crate by reviewing its structure, metadata, and included files for adherence to best practices.\r\nSubmit a workflow to LifeMonitor, analyzing the platform’s feedback to assess workflow performance and improve its reliability for future use.\r\nWorkflow Scaling using command-line\r\nExecute workflows from the command line using the Planemo run subcommand, demonstrating the ability to run and monitor workflows outside the Galaxy interface.\r\nDevelop simple shell scripts to automate the execution of multiple workflows concurrently or sequentially, optimizing efficiency and scalability.\r\nAnalyze the performance and resource usage of workflows run via shell scripts, evaluating the effectiveness of scaling strategies for large-scale data processing.\r\nScaling Galaxy Use with the API and BioBlend\r\nUtilize the BioBlend library to programmatically interact with Galaxy, executing workflows, managing datasets, and automating repetitive tasks.\r\nDesign a Python script using BioBlend to scale Galaxy workflows for batch processing, ensuring efficient resource use and reproducibility.\r\nEvaluate the performance and scalability of workflows executed via BioBlend, comparing results with manual Galaxy interactions to identify improvements.\r\n“Bring Your Own Work”\r\nApply the concepts and tools learned during the training to develop or refine your own workflows using your personal data, with guidance from trainers.\r\nTroubleshoot challenges in your workflow or data analysis, implementing solutions with the support of trainers and peers.\r\nDemonstrate progress in your project by documenting your workflow, results, and any optimizations made during the sessions.", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": true, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/802/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/803/?format=api" ] }, { "id": 411, "name": "Formation metabarcoding ABiMS SeBiMER", "shortName": "Formation metabarcoding ABiMS SeBiMER", "description": "Le séquençage à haut débit des amplicons de marqueurs taxonomiques tels l’ADN ribosomique, les gènes COI/COX ou les ITS a ouvert de nouveaux horizons dans l’étude des communautés de macro et micro-organismes et l’étude des écosystèmes.\r\n\r\nLe but de cette formation est, d’une part, d’introduire les concepts clés liés aux analyses de metabarcoding et de les illustrer au moyen de cas concrets d’analyse et, d’autre part, de former les utilisateurs aux traitements de données de metabarcoding au travers de l’usage du logiciel SAMBA (Noël et al., in submission).", "homepage": 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