Training List
Handles creating, reading and updating training events.
GET /api/training/?format=api&offset=80&ordering=audienceTypes
{ "count": 388, "next": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=100&ordering=audienceTypes", "previous": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=60&ordering=audienceTypes", "results": [ { "id": 279, "name": "Annotation and analysis of prokaryotic genomes using the MicroScope platform", "shortName": "MicroScope training", "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": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0085", "http://edamontology.org/topic_3301", "http://edamontology.org/topic_0797" ], "keywords": [], "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": [ { "id": 67, "name": "University Paris-Saclay", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20Paris-Saclay/?format=api" } ], "organisedByTeams": [ { "id": 9, "name": "MicroScope", "url": "https://catalogue.france-bioinformatique.fr/api/team/MicroScope/?format=api" } ], "logo_url": "https://labgem.genoscope.cns.fr/wp-content/uploads/2019/06/MicroScope_logo-300x210.png", "updated_at": "2025-12-09T09:10:02.012461Z", "audienceTypes": [ "Undergraduate", "Graduate", "Professional (continued)" ], "audienceRoles": [ "Researchers", "Life scientists", "Biologists", "Curators" ], "difficultyLevel": "Intermediate", "trainingMaterials": [], "learningOutcomes": "Annotation and comparative analysis of bacterial genomes:\r\n\r\n- acquire theoretical and practical knowledge of genome annotation tools (structural and functional annotation, metabolic networks annotation)\r\n- interpret the results of functional annotation tools\r\nperform various comparative analyses : conserved synteny analyses, pan-genome, phylogenetic and metabolic profiles.\r\n- analyse the results of metabolic networks prediction tools and look for candidate genes for enzyme activities.\r\n- use the tools to analyse the genome(s) of interest of participants", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": 31, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/439/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/506/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/436/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/745/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/507/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/577/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/576/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/659/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/658/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/796/?format=api" ] }, { "id": 393, "name": "Pandas : gérer, analyser, visualiser vos données efficacement", "shortName": "", "description": "Les objectifs de cette formation sont :\r\n- Importer, exporter, gérer, analyser des données tabulaires\r\n- Calculer des données dérivées\r\n- Combiner et interroger des données complexes\r\n- Calculer des statistiques descriptives des données\r\n- Visualiser et synthétiser les données sous formes graphiques", "homepage": "https://cnrsformation.cnrs.fr/python-et-module-pandas-pour-gerer-et-analyser-donnees?mc=Pandas", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0091" ], "keywords": [ "Python Language" ], "prerequisites": [ "Linux - Basic Knowledge" ], "openTo": "Everyone", "accessConditions": "- Notions de base en informatique : fichiers, répertoire, organisation des données\r\n- Connaissance de base de la programmation en Python (activité régulière d'écriture de scripts en Python)\r\n- Maitrise d'un environnement de développement ou éditeur de programmes/scripts", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/528/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 6, "name": "CNRS formation entreprise", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/CNRS%20formation%20entreprise/?format=api" } ], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 7, "name": "ATGC", "url": "https://catalogue.france-bioinformatique.fr/api/team/ATGC/?format=api" } ], "logo_url": "http://www.atgc-montpellier.fr/pictures/ATGClogo.svg", "updated_at": "2025-02-11T08:32:41.454179Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "Jour 1\r\nMatin :\r\n- Initiation Pandas, structures de données Series et DataFrame, chargement de données à partir de fichiers de données tabulaires\r\nAprès-midi :\r\n- Requêtes et outils de sélection\r\n\r\nJour 2\r\nMatin :\r\n- Fusion, concaténation, jointure de tables, regroupement de sous-ensembles\r\nAprès-midi :\r\n- Indexation simple et multiple, réindexation, export et sauvegarde\r\n\r\nJour 3\r\nMatin :\r\n- Visualisation et réalisation de graphiques\r\nAprès-midi :\r\n- Analyse de données des participants", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": 21, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/702/?format=api" ] }, { "id": 363, "name": "Introduction au text-mining avec AlvisNLP", "shortName": "Introduction to text-mining with AlvisNLP", "description": "Objectifs pédagogiques\r\nCette formation est dédiée à l’analyse de données textuelles (text-mining). L’objectif est l’acquisition des principales techniques pour la Reconnaissance d’Entités Nommées (REN) à partir de textes. Les entités nommées étudiées dans cette formation sont des objets ou concepts d’intérêts mentionnés dans les articles scientifiques ou les champs en texte libre (taxons, gènes, protéines, marques, etc.).\r\n\r\nLes participants vont acquérir les compétences pratiques nécessaires pour effectuer de façon autonome une première approche pour une application de text-mining. Le format est celui de Travaux Pratiques utilisant AlvisNLP, un outil pour la création de pipelines en text-mining développé par l’équipe Bibliome de l’unité MaIAGE. La formation s’adresse à des chercheurs et ingénieurs en (bio)-informatique ou en maths-info-stats appliquées\r\n\r\nProgramme\r\n* Présentation du text-mining et de la Reconnaissance des Entités Nommées (REN)\r\n* Travaux Pratiques sur des techniques de REN en utilisant AlvisNLP\r\n* Projection de lexiques\r\n* Application de patrons\r\n* Apprentissage automatique", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_3474", "http://edamontology.org/topic_0605" ], "keywords": [ "Text mining" ], "prerequisites": [ "Linux - Basic Knowledge" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/769/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" }, { "id": 88, "name": "BioinfOmics", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=api" } ], "organisedByTeams": [ { "id": 10, "name": "MIGALE", "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api" } ], "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png", "updated_at": "2024-01-18T14:56:19.822106Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Life scientists", "Biologists", "Bioinformaticians" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "Cette formation est dédiée à l’analyse de données textuelles (text-mining). L’objectif est l’acquisition des principales techniques pour la Reconnaissance d’Entités Nommées (REN) à partir de textes. Les entités nommées étudiées dans cette formation sont des objets ou concepts d’intérêts mentionnés dans les articles scientifiques ou les champs en texte libre (taxons, gènes, protéines, marques, etc.).\r\n\r\nLes participants vont acquérir les compétences pratiques nécessaires pour effectuer de façon autonome une première approche pour une application de text-mining. Le format est celui de Travaux Pratiques utilisant AlvisNLP, un outil pour la création de pipelines en text-mining développé par l’équipe Bibliome de l’unité MaIAGE. La formation s’adresse à des chercheurs et ingénieurs en (bio)-informatique ou en maths-info-stats appliquées", "hoursPresentations": 5, "hoursHandsOn": 7, "hoursTotal": 12, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/588/?format=api" ] }, { "id": 362, "name": "Analyse statistique de données RNA-Seq - Recherche des régions d’intérêt différentiellement exprimées", "shortName": "Analyse statistique de données RNA-Seq", "description": "Objectifs pédagogiques\r\n* Se sensibiliser aux concepts et méthodes statistiques pour l’analyse de données transcriptomiques de type RNA-Seq.\r\n* Comprendre le matériel et méthodes (normalisation et tests statistiques) d’un article.\r\n* Réaliser une étude transcriptomique avec R dans l’environnement RStudio.\r\n\r\nProgramme\r\n* Planification expérimentale des expériences RNA-Seq (identification des biais, répétitions, biais contrôlables).\r\n* Normalisation et analyse différentielle : recherche de “régions d’intérêt” différentiellement exprimées (modèle linéaire généralisé).\r\n*Prise en compte de la multiplicité des tests.\r\n\r\nLe cours sera illustré par différents exemples. Un jeu de données à deux facteurs sera analysé avec les packages R DESeq2 et edgeR dans l’environnement RStudio.", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_3170", "http://edamontology.org/topic_0203", "http://edamontology.org/topic_3308" ], "keywords": [ "Statistical differential analysis", "RNA-seq" ], "prerequisites": [ "Basic knowledge of R" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/769/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" }, { "id": 88, "name": "BioinfOmics", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=api" } ], "organisedByTeams": [ { "id": 10, "name": "MIGALE", "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api" } ], "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png", "updated_at": "2024-01-18T14:50:06.093352Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Biologists", "Bioinformaticians" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "Objectifs pédagogiques :\r\nSe sensibiliser aux concepts et méthodes statistiques pour l’analyse de données transcriptomiques de type RNA-Seq.\r\nComprendre le matériel et méthodes (normalisation et tests statistiques) d’un article.\r\nRéaliser une étude transcriptomique avec R dans l’environnement RStudio.", "hoursPresentations": 4, "hoursHandsOn": 8, "hoursTotal": 12, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/786/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/587/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/695/?format=api" ] }, { "id": 361, "name": "Initiation à Linux / Introduction to Linux", "shortName": "Initiation à Linux", "description": "Objectifs pédagogiques\r\nÀ l'issue de la formation, les stagiaires connaîtront les principales commandes Linux et sauront utiliser le système Linux.\r\n\r\nProgramme\r\n* Connexion (ssh) et transferts de fichiers (scp, rsync)\r\n* Interfaces graphiques (Gnome, KDE) / émulateurs\r\n* Aide en ligne\r\n* Utilisation du shell : le rappel des commandes, l’historique, la complétion\r\n* Système de fichiers : arborescence et chemin d’accès, le répertoire d’accueil…\r\n* Gestion des fichiers et des répertoires\r\n* Principe de protection : les attributs sur les fichiers, les droits d’accès", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0605" ], "keywords": [ "Linux" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/769/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" }, { "id": 88, "name": "BioinfOmics", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=api" } ], "organisedByTeams": [ { "id": 10, "name": "MIGALE", "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api" } ], "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png", "updated_at": "2024-01-18T14:43:04.391836Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Biologists" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "À l'issue de la formation, les stagiaires connaîtront les principales commandes Linux et sauront utiliser le système Linux.", "hoursPresentations": 1, "hoursHandsOn": 5, "hoursTotal": 6, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/586/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/781/?format=api" ] }, { "id": 299, "name": "Initiation à Galaxy / Galaxy Initiation", "shortName": "Galaxy Initiation", "description": "Objectifs\r\n- Savoir exploiter l’environnement Galaxy pour être en mesure d’analyser ses données.\r\n- Être en mesure de créer ses workflows.\r\nProgramme\r\n- Téléchargement des données à traiter.\r\n- Manipulation de fichiers.\r\n- Traitement des données.\r\n- Visualisation des résultats.\r\n- Création de workflows.\r\n- Partage de résultats et de workflows.", "homepage": "https://abims.sb-roscoff.fr/module/galaxy_init", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_0769" ], "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/default/files/abims.png", "updated_at": "2026-02-03T16:16:46.320073Z", "audienceTypes": [ "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 4, "hoursHandsOn": 3, "hoursTotal": 7, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/620/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/711/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/446/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/500/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/519/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/761/?format=api" ] }, { "id": 381, "name": "HOW TO RUN A NF-CORE NEXTFLOW WORKFLOW ON GENOTOUL ?", "shortName": "Nextflow/nf-core", "description": "This training session is organized by the Genotoul bioinfo platform and aims at learning nf-core workflow submission, error understanding, resuming jobs and ressource reservation. We will present and practice:\r\n\r\nthe Nextflow software\r\nthe nf-core community and pipelines\r\nWhat is a singularity image ?\r\nWhere are installed the nf-core workflows ? Which version do I use ?\r\nHow to run a workflow and which config file is used ?\r\nWhich kind of error I can get ?\r\nHow to resume failed jobs?\r\nHow to handle genome indexes ?\r\nHow to monitor my process and then well configure my workflow ?\r\nHow do you best adjust CPU and RAM reservations?\r\nThis is NOT a bioinformatic training on a particular workflow or a training on how to develop a workflow.\r\n\r\nThis training is focused on practice. It consists of several modules with a large variety of exercises:\r\n\r\nStart at 09:00 am\r\nEnd at 17:00 pm", "homepage": "https://bioinfo.genotoul.fr/index.php/events/how-to-run-a-nf-core-nextflow-workflow-on-genotoul-2/", "is_draft": false, "costs": [ "Non-academic: 550€ + 20% taxes (TVA)", "Academic but non-INRAE: 170 € + 20% taxes (TVA)", "For INRAE's staff: 150 € no VAT charged;" ], "topics": [ "http://edamontology.org/topic_0769" ], "keywords": [ "Nextflow" ], "prerequisites": [ "Linux/Unix", "Cluster" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/300/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 15, "name": "MIAT", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/MIAT/?format=api" } ], "organisedByTeams": [ { "id": 22, "name": "Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=api" } ], "logo_url": "http://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png", "updated_at": "2025-12-01T11:57:33.124156Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Life scientists" ], "difficultyLevel": "Novice", "trainingMaterials": [ { "id": 143, "name": "Workflows nf-core - Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Workflows%20nf-core%20-%20Genotoul-bioinfo/?format=api" } ], "learningOutcomes": "", "hoursPresentations": 1, "hoursHandsOn": 6, "hoursTotal": 7, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/755/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/636/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/722/?format=api" ] }, { "id": 380, "name": "INTRODUCTION TO PYTHON", "shortName": "Python", "description": "The Toulouse Genotoul bioinformatics platform, organizes a 2 days long training course for non computer scientist and biologists aiming at learning the foundation of Python programming. In this training you will learn the basics of programming (variables, functions, control structures such as “if” condition, “for” loop”), writing simple programs which read files, and write results to others. The training course does not require any knowledge in programming, but basic Linux/bash commands are required (cd, ls).\r\n\r\nThis training focuses on practice. It consists of modules with a large variety of exercises described hereunder (PROVISIONAL SCHEDULE):\r\n\r\nUsing a Jupyter notebook (Day 1).\r\nUsing variables (Day 1).\r\nBasic operations and functions (Day 1).\r\nReading a file, writing to a file (Day 1).\r\nCharacter string manipulation (Day 1).\r\nLists and dictionaries (Day 2).\r\nThe if and for controls (Day 2).\r\nBases of algorithms (Day 2).", "homepage": "https://bioinfo.genotoul.fr/index.php/events/python/", "is_draft": false, "costs": [], "topics": [ "http://edamontology.org/topic_3307" ], "keywords": [ "Python Language" ], "prerequisites": [ "Linux/Unix" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/642/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 15, "name": "MIAT", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/MIAT/?format=api" } ], "organisedByTeams": [ { "id": 22, "name": "Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=api" } ], "logo_url": "http://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png", "updated_at": "2025-12-01T11:55:51.057828Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Life scientists" ], "difficultyLevel": "Novice", "trainingMaterials": [ { "id": 142, "name": "Introduction to python - Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Introduction%20to%20python%20-%20Genotoul-bioinfo/?format=api" } ], "learningOutcomes": "", "hoursPresentations": 5, "hoursHandsOn": 9, "hoursTotal": 14, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/635/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/757/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/718/?format=api" ] }, { "id": 382, "name": "Introduction à l'analyse de données transcriptomiques avec Galaxy", "shortName": "", "description": "L’objectif est de se familiariser avec les étapes d’analyses des données transcriptomiques ou RNA-seq avec référence pour extraire les gènes et fonctions différentiellement exprimés. Nous proposons au personnel non-bioinformaticien de les accompagner dans la prise en main de ces étapes d’analyses en utilisant la plateforme de bio-analyse Galaxy. \r\n\r\n\r\nAprès une introduction à la transcriptomique, une session pratique sur la plateforme Galaxy couvrira comment :\r\n- évaluer la qualité des données transcriptomiques,\r\n- aligner des données transcriptomiques sur un génome de référence,\r\n- estimer le nombre de séquences par gènes,\r\n- construire et faire une analyse d’expression différentielle des gènes\r\n- faire une analyse de l’enrichissement fonctionnel des gènes différentiellement exprimés", "homepage": "", "is_draft": false, "costs": [ "Free to academics" ], "topics": [ "http://edamontology.org/topic_1775", "http://edamontology.org/topic_3170", "http://edamontology.org/topic_0203", "http://edamontology.org/topic_3308" ], "keywords": [ "Galaxy", "RNA-seq", "Transcriptomics (RNA-seq)" ], "prerequisites": [ "Galaxy - Basic usage" ], "openTo": "Internal personnel", "accessConditions": "Formation ouverte au personnel de l’UCA & Associés\r\nAvoir un ordinateur portable et un accès wifi eduroam\r\nAvoir un compte sur la plateforme Galaxy (Faire une demande le cas échéant sur hub.mesocentre.uca.fr)\r\nÊtre familier avec Galaxy", "maxParticipants": null, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/677/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/807/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 1, "name": "CNRS - IFB", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/CNRS%20-%20IFB/?format=api" }, { "id": 16, "name": "Université Clermont Auvergne", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Universit%C3%A9%20Clermont%20Auvergne/?format=api" } ], "organisedByOrganisations": [ { "id": 87, "name": "AuBi", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/AuBi/?format=api" }, { "id": 96, "name": "Mésocentre Clermont-Auvergne", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/M%C3%A9socentre%20Clermont-Auvergne/?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": "2024-06-06T08:06:54.982689Z", "audienceTypes": [ "Undergraduate", "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "Researchers", "Life scientists", "Biologists" ], "difficultyLevel": "Novice", "trainingMaterials": [ { "id": 144, "name": "Reference-based RNA-Seq data analysis with Galaxy", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Reference-based%20RNA-Seq%20data%20analysis%20with%20Galaxy/?format=api" }, { "id": 145, "name": "Introduction to Transcriptomics", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Introduction%20to%20Transcriptomics/?format=api" } ], "learningOutcomes": "At the end of the tutorial, learners would be able to:\r\n- Check a sequence quality report generated by FastQC for RNA-Seq data\r\n- Explain the principle and specificity of mapping of RNA-Seq data to an eukaryotic reference genome\r\n- Select and run a state of the art mapping tool for RNA-Seq data\r\n- Evaluate the quality of mapping results\r\n- Describe the process to estimate the library strandness\r\n- Estimate the number of reads per genes\r\n- Explain the count normalization to perform before sample comparison\r\n- Construct and run a differential gene expression analysis\r\n- Analyze the DESeq2 output to identify, annotate and visualize differentially expressed genes\r\n- Perform a gene ontology enrichment analysis\r\n- Perform and visualize an enrichment analysis for KEGG pathways", "hoursPresentations": 1, "hoursHandsOn": 7, "hoursTotal": 8, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/637/?format=api" ] }, { "id": 388, "name": "Analysis of shotgun metagenomic data", "shortName": "", "description": "This training session is organized by the Genotoul bioinfo platform. This course is dedicated to the analysis of prokaryotic shotgun metagenomic data from Illumina and Pacbio HiFi sequencing technology. \r\n\r\nAfter an overview of metagenomics and the biases and limitations of analyses, we will look at the main steps involved in analysing metagenomic data and launch independent tools on the genobioinfo cluster.\r\nLearners will then test a workflow to automate processing on a test dataset (metagWGS ).\r\nOn the third day, learners will choose which analysis strategy to start with according to their experimental design and launch the first stage of metagWGS on their own data.\r\nBy the end of the course, trainees will be familiar with the scope, advantages and limitations of shotgun sequencing data analysis and will have started the analysis on their own data.\r\n\r\ncalendar\r\n \r\n\r\nThis training is focused on practice. It consists of several modules with a large variety of exercises:\r\n\r\nFirst Day\r\nStart at 09:00 am\r\nTour de table\r\nIntroduction to metagenomics, Illumina and Pacbio data, analysis stages, analysis limits, etc.\r\nPresentation of some key tools for each stage\r\nPractical work on the main stages launched independently\r\nEnd at 17:00 pm\r\nSecond Day\r\nStart at 09:00 am\r\nIntroduction to the advantages and disadvantages of workflows and containers\r\nLaunch of the data cleansing stage\r\nLaunch of the rest of the workflow and analysis of the multiQC report\r\nEnd at 17:00 pm\r\nThird Day – BYOD\r\nStart at 09:00 am\r\nDefine the analysis strategy and launch the start of the analysis of your own data.\r\nEnd at 17:00 pm maximum", "homepage": "https://bioinfo.genotoul.fr/index.php/events/analysis-of-shotgun-metagenomic-data/", "is_draft": false, "costs": [ "Non-academic for non-academic: 1650€ + 20% taxes (TVA)", "Academic non-INRAE for academic but non-INRAE: 510 € + 20% taxes (TVA)", "INRAE for INRAE's staff: 450 € no VAT charged" ], "topics": [ "http://edamontology.org/topic_3174" ], "keywords": [ "NGS Data Analysis", "Metagenomics" ], "prerequisites": [ "Linux/Unix", "Cluster" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/300/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" }, { "id": 88, "name": "BioinfOmics", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=api" }, { "id": 37, "name": "MIAT - Mathématiques et Informatique Appliquées de Toulouse", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/MIAT%20-%20Math%C3%A9matiques%20et%20Informatique%20Appliqu%C3%A9es%20de%20Toulouse/?format=api" } ], "organisedByTeams": [ { "id": 22, "name": "Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=api" } ], "logo_url": "https://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png", "updated_at": "2026-03-02T08:49:21.302798Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Life scientists", "Biologists", "Bioinformaticians" ], "difficultyLevel": "Intermediate", "trainingMaterials": [ { "id": 151, "name": "Metagenomic training - Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Metagenomic%20training%20-%20Genotoul-bioinfo/?format=api" } ], "learningOutcomes": "", "hoursPresentations": 3, "hoursHandsOn": 15, "hoursTotal": 18, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/670/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/758/?format=api" ] }, { "id": 379, "name": "Manipulating & Visualizing Data with R", "shortName": "R - DataViz", "description": "Objectifs\r\n- Importer, structurer, transformer et exporter un tableau de données avec R\r\n- Générer des figures de qualité pour, par exemple, une publication scientifique\r\n\r\nProgramme\r\n- Introduction au tidyverse (metapackage pour manipuler, visualiser et analyser des données)\r\n- Import et export de tableaux de données (csv, excel, google sheet, etc.)\r\n- Manipulation de tableaux de données avec dplyr et tidyr (filtre, aggregation, jointure)\r\n- Manipulation de chaînes de caractères et de dates avec stringr et lubridate\r\n- Introduction aux concepts de visualisation de données\r\n- Apprendre à utiliser ggplot2 grâce à esquisse\r\n- Partager ses résultats avec Quarto", "homepage": "https://abims.sb-roscoff.fr/module/r_dataviz", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_0092" ], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "Preregistration required using: https://abims.sb-roscoff.fr/ateliers/preinscription", "maxParticipants": 18, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/299/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 4, "name": "ABiMS", "url": "https://catalogue.france-bioinformatique.fr/api/team/ABiMS/?format=api" } ], "logo_url": "https://abims.sb-roscoff.fr/sites/default/files/abims.png", "updated_at": "2026-02-05T08:15:08.934519Z", "audienceTypes": [ "Undergraduate", "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 2, "hoursHandsOn": 5, "hoursTotal": 7, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/619/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/716/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/795/?format=api" ] }, { "id": 359, "name": "Comparaison de génomes microbiens", "shortName": "Comparaison de génomes microbiens", "description": "Objectifs pédagogiques\r\nConnaître les concepts et les principales méthodes bioinformatiques pour comparer un jeu de données de génomes microbiens. Construire et évaluer la qualité d’un jeu de données. Savoir mettre en œuvre une comparaison de génomes et en interpréter les résultats.\r\n\r\nProgramme\r\n* Construction d’un jeu de données :\r\n* Téléchargement de données publiques\r\n* Evaluation de la qualité\r\n* Caractérisation de la diversité génomique\r\n* Stratégies de comparaison :\r\n* Construction de famille de protéines\r\n* Alignement de génomes complets\r\n* Analyse des résultats :\r\n o Notion de core et pan-génome\r\n o Notions élémentaires de phylogénomique\r\n o Visualisation et interprétation des résultats\r\n* Mise en pratique sur un jeu de données bactériens, utilisation des logiciels dRep et Roary sous Galaxy.", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_3299", "http://edamontology.org/topic_0622" ], "keywords": [ "Comparative genomics" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/769/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 82, "name": "INRAE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/INRAE/?format=api" }, { "id": 88, "name": "BioinfOmics", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/BioinfOmics/?format=api" } ], "organisedByTeams": [ { "id": 10, "name": "MIGALE", "url": "https://catalogue.france-bioinformatique.fr/api/team/MIGALE/?format=api" } ], "logo_url": "https://migale.inrae.fr/sites/default/files/migale-orange_0.png", "updated_at": "2024-01-18T14:13:49.810934Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Biologists", "Bioinformaticians" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "Connaître les concepts et les principales méthodes bioinformatiques pour comparer un jeu de données de génomes microbiens. \r\nConstruire et évaluer la qualité d’un jeu de données. \r\nSavoir mettre en œuvre une comparaison de génomes et en interpréter les résultats.", "hoursPresentations": 3, "hoursHandsOn": 3, "hoursTotal": 6, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/584/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/696/?format=api" ] }, { "id": 377, "name": "RNASEQ ALIGNMENT, QUANTIFICATION AND TRANSCRIPT DISCOVERY WITH STATISTICS", "shortName": "RNASeq bioinfo / biostat", "description": "The Toulouse Genotoul bioinformatics platform, in collaboration with the Genotoul Biostatistics platform, and the MIAT unit, organize a 3,5 days long training course for bio-informaticians and biologists aiming at learning sequence analysis. It focuses on (protein coding) gene expression analysis using reads produced by ‘RNA-Seq’. This training session is designed to introduce sequences from ‘NGS’ (Next Generation Sequencing), particularly Illumina platforms (HiSeq). You will discover the standards file formats, learn about the usual biases of this type of data and run different kinds of analyses, such as spliced alignment on a reference genome, novel gene and transcript discovery, expression quantification of coding genes and transcripts. Finally you will be able to extract the differentially expressed genes.", "homepage": "https://bioinfo.genotoul.fr/index.php/events/rnaseq-alignment-transcripts-assemblies-statistics/", "is_draft": false, "costs": [ "Non-academic: 550€ + 20% taxes (TVA)", "Academic but non-INRAE: 170 € + 20% taxes (TVA)", "For INRAE's staff: 150 € no VAT charged;" ], "topics": [ "http://edamontology.org/topic_0203", "http://edamontology.org/topic_3308" ], "keywords": [ "NGS Data Analysis", "Expression" ], "prerequisites": [ "Linux/Unix", "Cluster", "Langage R de base" ], "openTo": "Everyone", "accessConditions": "Register on the training page : https://bioinfo.genotoul.fr/index.php/training-2/training/", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/642/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/739/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/300/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 15, "name": "MIAT", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/MIAT/?format=api" } ], "organisedByTeams": [ { "id": 33, "name": "Genotoul-biostat", "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-biostat/?format=api" }, { "id": 22, "name": "Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=api" } ], "logo_url": "https://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png", "updated_at": "2025-12-09T09:40:46.927545Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Life scientists", "Biologists", "Bioinformaticians" ], "difficultyLevel": "Intermediate", "trainingMaterials": [ { "id": 136, "name": "Training RNASeq - biostat part - Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Training%20RNASeq%20-%20biostat%20part%20-%20Genotoul-bioinfo/?format=api" }, { "id": 135, "name": "Training RNASeq - bioinfo part - Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Training%20RNASeq%20-%20bioinfo%20part%20-%20Genotoul-bioinfo/?format=api" } ], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": 21, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/754/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/612/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/721/?format=api" ] }, { "id": 350, "name": "Formation Principes FAIR dans un projet de bioinformatique", "shortName": "FAIR-Bioinfo-Strasbourg", "description": "Cette formation sur 3 jours est destinée à des bioinformaticiens et biostatisticiens souhaitant acquérir des compétences théoriques et pratiques sur les principes \"FAIR\" (Facile à trouver, Accessible, Interopérable, Réutilisable) appliqués à un projet d'analyse et/ou de développement.", "homepage": "", "is_draft": false, "costs": [ "Free to academics" ], "topics": [], "keywords": [ "Programming Languages & Computer Sciences", "FAIR", "Snakemake", "Docker" ], "prerequisites": [ "Linux - Basic Knowledge" ], "openTo": "Everyone", "accessConditions": "Academics", "maxParticipants": 14, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/563/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/124/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 79, "name": "IBMP", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IBMP/?format=api" }, { "id": 83, "name": "IGBMC", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IGBMC/?format=api" } ], "organisedByTeams": [ { "id": 14, "name": "BiGEst", "url": "https://catalogue.france-bioinformatique.fr/api/team/BiGEst/?format=api" } ], "logo_url": null, "updated_at": "2023-12-20T15:44:00.254606Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Bioinformaticians" ], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "A l'issue de cette formation, les participants pourront mettre en oeuvre les principes de la science reproductible : encapsuler un environnement de travail (Docker, Singularity), concevoir et exécuter des workflows (Snakemake), gérer des versions de code (Git), passer à l’échelle sur un cluster de calcul (Slurm), gérer des environnements logiciels (Conda) et assurer la traçabilité de leur analyse à l’aide de Notebooks (Jupyter).", "hoursPresentations": 10, "hoursHandsOn": 11, "hoursTotal": 21, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/568/?format=api" ] }, { "id": 348, "name": "Advanced HPC Trainings", "shortName": "", "description": "This course continues the explanation on how to work on HPC Southgreen clusters. It is intended for experienced users, with the goals of improving LC user productivity and minimizing the obstacles. New notions and tools are presented such as job arrays, basic softwares installation,module environment and singularity. All these notions will be developped.", "homepage": "https://southgreenplatform.github.io/trainings//Advanced_HPC/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [ "HPC", "SLURM" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Oprn to South Green close collaborators", "maxParticipants": 20, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/589/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 85, "name": "IRD", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IRD/?format=api" } ], "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": "2023-12-04T14:46:58.108350Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/557/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/565/?format=api" ] }, { "id": 298, "name": "LINUX", "shortName": "", "description": "This training session is organized by the Genotoul bioinfo platform and aims at learning sequence analysis. This training session has been designed to familiarize yourself with the platform resources and its organization. You will learn to access the platform from your work station, what is an Linux environment and how to use it, how to create and manipulate files, how to transfer them from and to your personal computer.\r\n\r\nThis training is focused on practice. It consists of 3 modules with a large variety of exercises:\r\n\r\n- Connect to « genotoul » server (09:00 am to 10:30 am): Platform presentation, Linux basics, opening an user account, Putty installation, first connection.\r\n- Files and basics commands (10:45 am to 12:00 pm): types of files and secure access, file manipulation commands, text editors and viewers, disk space management .\r\n- Transfers and file manipulation (14:00 pm to 17:00 pm): download/transfer, compress/uncompress, utility commands and data extraction, output redirections.", "homepage": "https://bioinfo.genotoul.fr/index.php/events/linux-2-2/", "is_draft": false, "costs": [ "Non-academic: 550€ + 20% taxes (TVA)", "Academic but non-INRAE: 170 € + 20% taxes (TVA)", "For INRAE's staff: 150 € no VAT charged;" ], "topics": [ "http://edamontology.org/topic_3316" ], "keywords": [], "prerequisites": [ "none" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 10, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/344/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/739/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 37, "name": "MIAT - Mathématiques et Informatique Appliquées de Toulouse", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/MIAT%20-%20Math%C3%A9matiques%20et%20Informatique%20Appliqu%C3%A9es%20de%20Toulouse/?format=api" } ], "organisedByTeams": [ { "id": 22, "name": "Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=api" } ], "logo_url": "https://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png", "updated_at": "2025-12-09T09:42:16.231660Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Biologists" ], "difficultyLevel": "Novice", "trainingMaterials": [ { "id": 137, "name": "Linux slides - Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Linux%20slides%20-%20Genotoul-bioinfo/?format=api" }, { "id": 138, "name": "Linux TP - Genotoul-bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Linux%20TP%20-%20Genotoul-bioinfo/?format=api" } ], "learningOutcomes": "You will learn to access the platform genotoul bioinfo from your work station, what is an Linux environment and how to use it, how to create and manipulate files, how to transfer them from and to your personal computer.", "hoursPresentations": 3, "hoursHandsOn": 3, "hoursTotal": 6, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/476/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/608/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/447/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/667/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/752/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/632/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/528/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/719/?format=api" ] }, { "id": 376, "name": "Train-the-Trainer", "shortName": "TtT", "description": "The programme objective is to give instructors tools and tips for providing an enriching learning experience to trainees, irrespective of topic, and to include best-practice guidance on course and training material development.", "homepage": "https://moodle.france-bioinformatique.fr/course/view.php?id=25", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": null, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/762/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/556/?format=api", "https://catalogue.france-bioinformatique.fr/api/userprofile/639/?format=api" ], "elixirPlatforms": [ { "id": 1, "name": "Training", "url": "https://catalogue.france-bioinformatique.fr/api/elixirplatform/Training/?format=api" } ], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 4, "name": "IFB - ELIXIR-FR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?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/961/course/section/152/logo_TtT_MRS_def.png", "updated_at": "2024-03-21T15:33:43.289130Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "By the end of Session 1, participants will be able to:\r\n\r\nList the steps of good instructional design.\r\nDefine cognitive load.\r\nDistinguish between bad and good cognitive load.\r\nClarify why we start with learning outcomes.\r\nGive examples of effective learning strategies.\r\nConnect learning strategies to the cognitive processes they promote.\r\nSelect appropriate learning outcomes within the learning constraints.\r\nAssess your teaching outlook/practices in relation to what you’ve learned.\r\nDesign learning experiences that align with learning outcomes.\r\n\r\n\r\nBy the end of Session 2, participants will be able to:\r\n\r\nDesign a mini-training:\r\nWrite SMART Learning Outcomes \r\nIdentify target audience\r\nDraw a concept map\r\nSelect content\r\nDeliver \r\nProvide and receive targeted feedback\r\nCreate a plan from lesson to session\r\nCreate a plan from session to full course\r\n\r\n\r\nBy the end of Session 3, participants will be able to:\r\n\r\nDescribe what makes training effective.\r\nDescribe what makes a trainer effective.\r\nIdentify strategies that facilitate active, interactive, and collaborative learning.\r\nList factors of motivation and demotivation.\r\nEvaluate what instructors can do to motivate and avoid demotivating learners.\r\n\r\n\r\nBy the end of Session 4, participants will be able to\r\n\r\nDescribe the differences between formative and summative assessment\r\nExplain why frequent feedback is important\r\nList and describe a few techniques for formative feedback", "hoursPresentations": 12, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/607/?format=api" ] }, { "id": 373, "name": "Introduction à la segmentation des nucléoles et extraction de caractéristiques avec Galaxy", "shortName": "", "description": "L’objectif de cette formation est de se familiariser avec les premières étapes à l’analyse d’images. Nous proposons au personnel non-bioinformaticien de les accompagner dans la prise en main des ces étapes d’analyses en utilisant la plateforme de bio-analyse Galaxy. \r\n\r\nAprès une introduction à l’analyse d’images, une session pratique sur la plateforme Galaxy couvrira comment :\r\n- télécharger des images depuis un répertoire d’images publiques,- segmenter une image\r\n- extraire les caractéristiques des images", "homepage": "", "is_draft": false, "costs": [ "Free to academics" ], "topics": [ "http://edamontology.org/topic_3383", "http://edamontology.org/topic_3382" ], "keywords": [ "Galaxy" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Formation ouverte au personnel de l’UCA & Associés\r\nAvoir un ordinateur portable et un accès wifi eduroam\r\nAvoir un compte sur la plateforme Galaxy (Faire une demande le cas échéant sur hub.mesocentre.uca.fr)\r\nÊtre familier avec Galaxy", "maxParticipants": null, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/261/?format=api", "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" }, { "id": 16, "name": "Université Clermont Auvergne", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Universit%C3%A9%20Clermont%20Auvergne/?format=api" } ], "organisedByOrganisations": [ { "id": 87, "name": "AuBi", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/AuBi/?format=api" }, { "id": 96, "name": "Mésocentre Clermont-Auvergne", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/M%C3%A9socentre%20Clermont-Auvergne/?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": "2024-02-08T11:28:41.024508Z", "audienceTypes": [ "Undergraduate", "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "Researchers", "Life scientists", "Biologists" ], "difficultyLevel": "Novice", "trainingMaterials": [ { "id": 134, "name": "Nucleoli segmentation and feature extraction using CellProfiler", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Nucleoli%20segmentation%20and%20feature%20extraction%20using%20CellProfiler/?format=api" } ], "learningOutcomes": "At the end, learners would be able to:\r\n- How to download images from a public image repository.\r\n- How to segment cell nuclei using CellProfiler in Galaxy.\r\n- How to segment cell nucleoli using CellProfiler in Galaxy.\r\n- How to extract features for images, nuclei and nucleoli.", "hoursPresentations": 1, "hoursHandsOn": 2, "hoursTotal": 3, "personalised": null, "event_set": [] }, { "id": 372, "name": "Introduction à l'analyse d’images avec Galaxy", "shortName": "", "description": "L’objectif de cette formation est de se familiariser avec les premières étapes à l’analyse d’images. Nous proposons au personnel non-bioinformaticien de les accompagner dans la prise en main des ces étapes d’analyses en utilisant la plateforme de bio-analyse Galaxy. \r\n\r\nAprès une introduction à l’analyse d’images, une session pratique sur la plateforme Galaxy couvrira comment :\r\n- extraire des métadonnées d’une image,\r\n- convertir, filtrer et segmenter une image", "homepage": "", "is_draft": false, "costs": [ "Free to academics" ], "topics": [ "http://edamontology.org/topic_3383", "http://edamontology.org/topic_3382" ], "keywords": [ "Galaxy" ], "prerequisites": [ "Galaxy - Basic usage" ], "openTo": "Internal personnel", "accessConditions": "Formation ouverte au personnel de l’UCA & Associés\r\nAvoir un ordinateur portable et un accès wifi eduroam\r\nAvoir un compte sur la plateforme Galaxy (Faire une demande le cas échéant sur hub.mesocentre.uca.fr)\r\nÊtre familier avec Galaxy", "maxParticipants": null, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/261/?format=api", "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" }, { "id": 16, "name": "Université Clermont Auvergne", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Universit%C3%A9%20Clermont%20Auvergne/?format=api" } ], "organisedByOrganisations": [ { "id": 87, "name": "AuBi", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/AuBi/?format=api" }, { "id": 96, "name": "Mésocentre Clermont-Auvergne", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/M%C3%A9socentre%20Clermont-Auvergne/?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": "2024-02-08T11:25:36.663764Z", "audienceTypes": [ "Undergraduate", "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "Researchers", "Life scientists", "Biologists" ], "difficultyLevel": "Novice", "trainingMaterials": [ { "id": 133, "name": "Introduction to image analysis using Galaxy", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Introduction%20to%20image%20analysis%20using%20Galaxy/?format=api" } ], "learningOutcomes": "At the end of the tutorial, learners would be able to:\r\n- How to handle images in Galaxy.\r\n- How to perform basic image processing in Galaxy", "hoursPresentations": 1, "hoursHandsOn": 2, "hoursTotal": 3, "personalised": null, "event_set": [] }, { "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" ] } ] }
