Training List
Handles creating, reading and updating training events.
GET /api/training/?format=api&offset=80&ordering=trainingMaterials
{ "count": 383, "next": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=100&ordering=trainingMaterials", "previous": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=60&ordering=trainingMaterials", "results": [ { "id": 295, "name": "Introduction to the use of a computing cluster", "shortName": "", "description": "Knowledge of the concepts and best practices for using the computing resources of the mesocenter cluster Clermont Auvergne in a bioinformatics context.\r\nBecome familiar with the work environment of the computing cluster, become autonomous in the use of its resources and learn to use a scheduler. \r\nPresentation of the resources accessible on the cluster (computing nodes, storage spaces, tools).\r\nConcept of jobs, queues and parallel computing.\r\nJob management (submission, follow-up, deletion).", "homepage": "https://mesocentre.uca.fr/", "is_draft": false, "costs": [ "Free to academics" ], "topics": [ "http://edamontology.org/topic_0091", "http://edamontology.org/topic_0605" ], "keywords": [], "prerequisites": [ "Linux and knowledge of NGS formats" ], "openTo": "Internal personnel", "accessConditions": "Have an account on the Mesocentre UCA computing cluster (make a request if necessary on the site https://hub.mesocentre.uca.fr)\r\nAlternation of theoretical courses and practical work.\r\nCOME WITH A LAPTOP with an operational Eduroam connection.\r\nThe training is in French.", "maxParticipants": 10, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 45, "name": "UMR 454 MEDIS INRA-Université Clermont Auvergne", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/UMR%20454%20MEDIS%20INRA-Universit%C3%A9%20Clermont%20Auvergne/?format=api" } ], "organisedByTeams": [ { "id": 31, "name": "AuBi", "url": "https://catalogue.france-bioinformatique.fr/api/team/AuBi/?format=api" } ], "logo_url": null, "updated_at": "2023-01-24T10:21:58.347905Z", "audienceTypes": [ "Graduate" ], "audienceRoles": [ "Researchers", "Computer scientists" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 3, "hoursHandsOn": 4, "hoursTotal": 8, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/487/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/616/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/461/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/751/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/708/?format=api" ] }, { "id": 160, "name": "Cluster", "shortName": "", "description": "", "homepage": "", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/283/?format=api" ] }, { "id": 253, "name": "Installing and Managing a High-Performance Computing (HPC) Cluster ", "shortName": "", "description": "This course ran for 5 days covering all the concepts necessary to install and manage a high-performance computing (HPC) cluster. During this course, a HPC cluster were installed at CERAAS (Thiès, Sénégal) by the participants, IT managers from western africa (IRD, ISRA, CERAAS).\n", "homepage": "https://southgreenplatform.github.io/trainings//ngsTrainings/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 12, "name": "LAPSE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/LAPSE/?format=api" }, { "id": 13, "name": "Formation permanente IRD", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Formation%20permanente%20IRD/?format=api" }, { "id": 14, "name": "IAVAO", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IAVAO/?format=api" } ], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/385/?format=api" ] }, { "id": 33, "name": "Analyse statistique RNA-seq sous Galaxy", "shortName": "", "description": "\nObjectifs\n\nSe sensibiliser aux concepts et méthodes statistiques pour l'analyse de données transcriptomiques de type RNA-Seq.\nComprendre le matériel et méthodes (normalisation et tests statistiques) d'un article\ndu domaine.\nComprendre les particularités liées à la nature des données.\n\n \n \nProgramme\n\nPlanification expérimentale des expériences RNA-Seq (identification des biais, répétitions, biais contrôlables).\nNormalisation et analyse différentielle : recherche de \"régions d'intérêt\" différentiellement exprimées (modèle linéaire généralisé).\nPrise en compte de la multiplicité des tests.\nLe cours sera illustré par différents exemples et un jeu de données sera traité à l'aide du package R SARTools (basé sur les packages R DESeq2 et edgeR) dans les environnements Galaxy et RStudio.\n", "homepage": "http://migale.jouy.inra.fr/", "is_draft": false, "costs": [], "topics": [], "keywords": [ "NGS Data Analysis", "Analysis of RNAseq data", "Galaxy" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Ce cycle est ouvert à l'ensemble des agents de l'INRA et aux extérieurs.\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/255/?format=api" ] }, { "id": 57, "name": "M2 « Technologies à Haut Débit en Cancérologie »", "shortName": "", "description": " DU master de Cancérologie (Responsable Dr Claire Bardel)\n", "homepage": "http://www.france-bioinformatique.fr", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [ "Master (M2 uniquement)" ], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [] }, { "id": 109, "name": "Analyse de données métagénomiques 16S", "shortName": "", "description": "\n\n\n\n\n\n\n\nObjectifs\nCette formation est dédiée à l'analyse de données de type \"métagénomique amplicon\" issues des technolo-gies de séquençage 454 et Illumina. La formation couvre les grandes étapes d'un pipeline d'analyse bioinformatique sous Galaxy (FROGS) pour transformer les séquences en tables d'abondances puis présente des outils statistiques sous R (phyloseq) qui permettent de décrire et comparer les échantillons à partir de ces tables.\n\n \nProgramme\n\nJours 1 et 2 : Analyses Bioinformatiques sous Galaxy\nIntroduction générale\nBrefs rappels sur l'environnement Galaxy\nPrésentation des données issues des différentes technologies de séquençage\nPrétraitement des données\nClustering des séquences, construction des OTUs\nDétection de chimères\nAnnotation taxonomique\nFiltrage des données de comptages\nOutils de visualisation\nConstruction de workflow et configuration de FROGS\nLimite des données et des méthodes \nJour 3 et 4 : Analyses Statistiques sous Rstudio\nIntroduction générale\nImport, manipulation et visualisation des données\nMesure de diversités : Unifrac, Bray-Curtis, etc.\nOrdination et réduction de dimension : MDS\nClustering et Heatmap\nComparaison d'échantillons : PERMANOVA, adonis\n▫ Introduction générale\n▫ Brefs rappels sur l'environnement Galaxy\n▫ Présentation des données issues des différentes technologies de séquençage ▫ Prétraitement des données\n▫ Clustering des séquences, construction des OTUs\n▫ Détection de chimères\n▫ Annotation taxonomique\n▫ Filtrage des données de comptages\n▫ Outils de visualisation\n▫ Construction de workflow et configuration de FROGS\n▫ Limite des données et des méthodes\n\n\n\n\n\nJour 3 : Analyses Statistiques sous Rstudio\n\n\t▫ Introduction générale\n\t\n\n\t▫ Import et manipulation des données\n\t\n\n\t▫ Mesure de diversités : Unifrac, Bray-Curtis, etc.\n\t\n\n\t▫ Ordination et réduction de dimension : MDS\n\t\n\n\t▫ Clustering et Heatmap\n\t\n\n\t▫ Comparaison d'échantillons : PERMANOVA, adonis \n\t\n\n\n\n\n\n\n\n\n", "homepage": "http://migale.jouy.inra.fr/", "is_draft": false, "costs": [], "topics": [], "keywords": [ "NGS Data Analysis", "Metagenomics", "Galaxy" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Ce cycle est ouvert à l'ensemble des agents de l'INRA et aux extérieurs.\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/265/?format=api" ] }, { "id": 191, "name": "MicroScope: formation avancée", "shortName": "", "description": "", "homepage": "", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/318/?format=api" ] }, { "id": 288, "name": "Introduction to the command-line interface", "shortName": "BirdLinux", "description": "Objectives\r\n- Understand the principles and advantages of the Linux system\r\n- Know and use the main bash commands.\r\n- Ability to chain multiple commands using pipes\r\n- Launch programs with arguments\r\n- Gain independence to perform command line analyses\r\n\r\nCourse Content\r\n- Introduction to the Linux system.\r\n- File system: directory structure, paths, home directory, file and directory management.\r\n- Principle of protections: reading file attributes, access rights, management of user groups.\r\n- Useful commands for file manipulation\r\n- Redirection operators (command input/output)\r\n- Creating and running a bash script\r\nIntroduction to environment variables\r\nConnecting to a remote server via a terminal or via WSL", "homepage": "https://pf-bird.univ-nantes.fr/training/linux/", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0605" ], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 20, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/596/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 16, "name": "BiRD", "url": "https://catalogue.france-bioinformatique.fr/api/team/BiRD/?format=api" } ], "logo_url": "https://bird.univ-nantes.io/website/images/logo/logo.svg", "updated_at": "2026-01-27T11:10:07.934815Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Biologists", "All" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 1, "hoursHandsOn": 6, "hoursTotal": 7, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/601/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/747/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/639/?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_0091", "http://edamontology.org/topic_3307" ], "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": 34, "name": "Training to the GnpIS information system", "shortName": "", "description": "Detailed presentation of GnpIS:\n- How to request through various forms (quick-search or module specific)\n- How to browse the system: use cases to highlight inter-operability between data in the different modules.\n", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Bioinformatics and Plant Genomics" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Information and registering at: urgi-contact@versailles.inra.fr\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [] }, { "id": 307, "name": "Initiation à R / R Initiation", "shortName": "R - Init", "description": "Objectifs\r\n- Pour une personne qui découvre R : savoir utiliser R de manière autonome et comprendre les principes de\r\nbase\r\n- Être capable de suivre le module Manipulation et visualisation de données avec R\r\n\r\nProgramme\r\n- Introduction à l'IDE Rstudio\r\n- Créer un projet et un script\r\n- Manipulation de données de base\r\n- Structures de données : qu'est-ce qu'une variable, un type, un objet ?\r\n- Utiliser des fonctions de packages externes", "homepage": "https://abims.sb-roscoff.fr/module/r_init", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_2269" ], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "Preregistration required using: https://abims.sb-roscoff.fr/ateliers/preinscription", "maxParticipants": 16, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 4, "name": "ABiMS", "url": "https://catalogue.france-bioinformatique.fr/api/team/ABiMS/?format=api" } ], "logo_url": "https://abims.sb-roscoff.fr/sites/default/files/abims.png", "updated_at": "2026-02-05T08:15:37.604111Z", "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/618/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/774/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/715/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/517/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/480/?format=api" ] }, { "id": 10, "name": "Formations Universitaire", "shortName": "", "description": "\nOrganisatrice et responsable du module « cellule épithéliale et cancer » de l’option B2PCR du M2 BCPP (Biologie Cellulaire, Physiologie et Pathologies : Université Paris 5, 11 et 12 (depuis 2010).\nCours et jury M1 et M2R Magistère Européen de Génétique – UE Génétique Moléculaire des Maladies Génétiques (depuis 2011).\n\n", "homepage": "http://www.france-bioinformatique.fr", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [ "Master" ], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [] }, { "id": 321, "name": "Genopole Autumn School", "shortName": "", "description": "Cette formation est dédiée aux chercheurs, ingénieurs et doctorants et dispensée en anglais par des experts internationaux de la génomique.\r\nLes points forts de la formation :\r\n\r\n Des sessions de formation pratiques aux outils d’analyse génomique\r\n Des experts des grands centres nationaux et internationaux (Université d’Evry – Paris-Saclay, Inrae, CEA, CNRS, Université du Luxembourg, EMBL-EBI)\r\n Format résidentiel tout inclus dans un cadre accueillant et propice au networking\r\n Effectif limité à 15 participants pour une qualité optimale des sessions pratiques\r\n Formation éligible à la prise en charge employeurs ou OPCO", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": null, "updated_at": "2022-11-14T16:38:22.898523Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/501/?format=api" ] }, { "id": 324, "name": "Python scripts for bioinformatics and Linux", "shortName": "Scripts en Python pour la bioinformatique et environnement Linux", "description": "OBJECTIFS\r\n- Connaître les principes et les avantages du système Linux\r\n- Connaître et savoir utiliser les commandes de base permettant de lancer des programmes sous Linux\r\n- Comprendre et savoir lancer des scripts\r\n- Être capable d'écrire des scripts en Python\r\n- Acquérir de l'autonomie pour effectuer des analyses bioinformatiques qui combinent plusieurs outils \r\n\r\nPRÉREQUIS\r\n- Notions de base en informatique : fichiers, répertoires, etc. \r\n\r\nPROGRAMME\r\n- Linux : lignes de commandes, principales commandes, redirection\r\n- Lancer, créer et modifier des scripts\r\n- Notions de variables, de boucles, de choix\r\n- Programmation de scripts : utilisation de paramètres et de variables, combinaison d'outils et de logiciels, écriture des résultats dans un ou plusieurs fichiers\r\n- Création d'un pipeline d'outils", "homepage": "", "is_draft": false, "costs": [ "1200 €" ], "topics": [], "keywords": [ "Linux", "Python Language" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/528/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 1, "name": "CNRS formation entreprises", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/CNRS%20formation%20entreprises/?format=api" } ], "organisedByTeams": [ { "id": 7, "name": "ATGC", "url": "https://catalogue.france-bioinformatique.fr/api/team/ATGC/?format=api" } ], "logo_url": "https://www.france-bioinformatique.fr/sites/default/files/ATGClogox120_0.png", "updated_at": "2025-01-23T13:50:29.570608Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/512/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/703/?format=api" ] }, { "id": 93, "name": "Formation galaxy", "shortName": "", "description": "Octobre 2013\nJuin 2012\n", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Galaxy" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [] }, { "id": 384, "name": "EBAII - Ecole de Bioinformatique niveau intermédiaire", "shortName": "EBAII N2", "description": "Objectifs: L’école s’articulera autour de trois ateliers thématiques en session parallèle (RNA-seq, ChIP-seq, variants DNA-seq), et abordera la visualisation et l’intégration des données. \r\n\r\nEnvironnement de travail: L’ensemble de la formation reposera sur l’utilisation de commandes en ligne (terminal Linux) et du langage R. \r\n\r\nPrérequis: Les candidats doivent avoir acquis les compétences enseignées durant l’école de niveau débutant: un niveau de base en ligne de commande, R, et (au choix) RNA-seq, ChIP-seq ou variants DNA-seq.", "homepage": "", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_3391", "http://edamontology.org/topic_3366", "http://edamontology.org/topic_0092", "http://edamontology.org/topic_3168", "http://edamontology.org/topic_0091" ], "keywords": [ "Biostatistics", "Sequence analysis", "NGS Sequencing Data Analysis" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "La formation s’adresse à des biologistes directement impliqués dans des projets “Next Generation Sequencing” (NGS) avec un niveau de base en ligne de commande, R, et (au choix) RNA-seq, ChIP-seq ou variants DNA-seq.", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "https://www.sb-roscoff.fr/sites/www.sb-roscoff.fr/files/styles/large/public/images/station-biologique-roscoff-roscoff-4404.jpg", "updated_at": "2024-12-05T07:33:48.573507Z", "audienceTypes": [], "audienceRoles": [ "Biologists" ], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/644/?format=api" ] }, { "id": 151, "name": "Cycle « Analyse de données de séquençage à haut-débit » - Module 2/5 : Analyses de variants", "shortName": "", "description": "Bilille propose chaque année un cycle de formation d'introduction à l'analyse des données de séquençage à haut débit.\r\nCe cycle est composé de 5 modules, à la carte : \r\n- Module 1: Analyses ADN\r\n- Module 2: Analyses de variants\r\n- Module 3: Analyses RNA-seq, bioinformatique\r\n- Module 4: Analyses RNA-seq, biostatistique\r\n- Module 5: Métagénomique\r\nLes fiches descriptives sont accessibles sur le site de Bilille. Chaque module comprend des présentations générales et des séances pratiques sur ordinateur, avec Galaxy.\r\nLes objectifs du module 2 sont :\r\n- Comprendre les grands principes de la détection de variants\r\n- Réaliser les différentes étapes du post-traitement des données d’alignement à la détection de variants\r\n- Adapter l’analyse en fonction du type de données NGS générées\r\n- Comprendre la structure des données de variants\r\n- Savoir annoter des variants\r\n- Etre capable d’interpréter une liste de variants grâce aux outils libres disponibles", "homepage": "https://bilille.univ-lille.fr/training/training-offer", "is_draft": false, "costs": [], "topics": [], "keywords": [ "NGS Data Analysis", "Panels (amplicons, captures)", "Exomes", "Variant analysis", "Genomics (DNA-seq)", "NGS Sequencing Data Analysis" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "- Etre familier avec la plate-forme web Galaxy (idéalement avoir suivi la formation bilille « Initiation à Galaxy »)\r\n- Avoir suivi le module 1/5 « Analyses ADN » de ce cycle ou toute autre formation permettant de justifier de connaissances sur les données de séquençage haut débit et leur alignement", "maxParticipants": null, "contacts": [], "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": "2024-12-09T17:42:43.090760Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/280/?format=api" ] }, { "id": 143, "name": "Training on annotation of transposable elements", "shortName": "", "description": "The objectives of this training are: \nTo acquire knowledge on transposable elements\nTo achieve annotation of transposable elements in the genome using REPET pipelines\nTo be autonomous on your own data.\nProgram\nOpening presentations on transposable elements and their annotation\nStrategies of repeat annotation\nREPET pipelines overview and practices \nPost-analyze tools overview and practices\n \n", "homepage": "https://urgi.versailles.inra.fr/Platform/Training/Training-on-annotation-of-tran…", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "Bioinformatics and Plant Genomics", "Sequence analysis" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "This training is dedicated to biologists and/or bioinformaticians (10 pers. max)\nCost : 150€\nRegistration and information by mail to: urgi-contact@inra.fr\n", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/272/?format=api" ] }, { "id": 276, "name": "Introduction to Machine Learning Using R", "shortName": "", "description": "With the rise in high-throughput sequencing technologies, the volume of omics data has grown exponentially in recent times and a major issue is to mine useful knowledge from these data which are also heterogeneous in nature. Machine learning (ML) is a discipline in which computers perform automated learning without being programmed explicitly and assist humans to make sense of large and complex data sets. The analysis of complex high-volume data is not trivial and classical tools cannot be used to explore their full potential. Machine learning can thus be very useful in mining large omics datasets to uncover new insights that can advance the field of bioinformatics.\r\n\r\nThis 2-day course will introduce participants to the machine learning taxonomy and the applications of common machine learning algorithms to omics data. The course will cover the common methods being used to analyse different omics data sets by providing a practical context through the use of basic but widely used R libraries. The course will comprise a number of hands-on exercises and challenges where the participants will acquire a first understanding of the standard ML processes, as well as the practical skills in applying them on familiar problems and publicly available real-world data sets.", "homepage": "", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 30, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 8, "name": "Elixir", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Elixir/?format=api" }, { "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://www.dissco.eu/wp-content/uploads/Elixir-Europe-logo-1.png", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/415/?format=api" ] }, { "id": 251, "name": "Survival Guide for Perl applied to Bioinformatics", "shortName": "", "description": " \n\n\t\t\tThis course provides an introduction to programming using Perl and at the end of the training, participants could write simple Perl programs to handle biological data and to undertstand more complex Perl programs written by others.\n\t\t\t\nPrerequisites\nBasic knowledge of Linux (Linux for dummies required)\n\nProgram\nPerl data structures (scalar,arrays, hashes)\nStructure control ( loops)\nBasic functions, and operators.\nWriting and running your own program\nPassing options and files to his own script.\nRegular expressions\n\n\nLearning objectives\nWriting simple Perl programs to analyze data files\nUnderstanding Perl programs written by others\nUsing Perl basic syntax and modules in their own script\nRun programs from their script, parsing and extracting data from data files\n\n\nInstructors\n\n\nChristine Tranchant - christine.tranchant@ird.fr\nFrançois Sabot - francois.sabot@ird.fr\nNdomassi tando - ndomassi.tando@ird.fr\n\n", "homepage": "https://southgreenplatform.github.io/trainings//perl/", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 12, "name": "LAPSE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/LAPSE/?format=api" }, { "id": 13, "name": "Formation permanente IRD", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Formation%20permanente%20IRD/?format=api" } ], "organisedByTeams": [], "logo_url": "", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/383/?format=api" ] } ] }
