Training List
Handles creating, reading and updating training events.
GET /api/training/?format=api&offset=260&ordering=id
{ "count": 370, "next": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=280&ordering=id", "previous": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=240&ordering=id", "results": [ { "id": 271, "name": "Bioinformatique pour le traitement de données de séquençage (NGS) : analyse de transcriptome", "shortName": "", "description": "OBJECTIFS\r\n- Comprendre les principes des méthodes d'analyse de données de séquençage à haut débit\r\n- Comprendre les résultats obtenus, les paramètres et leurs impacts sur les analyses\r\n- Savoir choisir et utiliser les principaux outils d'analyse\r\n- Être autonome pour utiliser un pipeline d'analyse\r\n- Savoir manipuler les fichiers de séquences : préparation et filtration\r\n- Savoir évaluer la qualité des données\r\n- Savoir analyser les résultats avec ou sans génome de référence\r\n\r\nPRÉREQUIS\r\n- Notions de base en informatique : fichiers, répertoire...\r\n- Notions du système linux et des lignes de commande\r\n- Niveau master \r\n\r\nPROGRAMME\r\n- Linux : commandes de base\r\n- Les données NGS : fichiers, manipulation de base, nettoyage\r\n- Mapping : principaux outils et pratique\r\n- Transcriptomique :\r\n. analyse de RNA-seq : expression différentielle des gènes / des ARNs (comptage et DESeq2) ; comparaison d'échantillons issus de conditions différentes\r\n. post-analyse : analyse GO, interrogation bases de connaissances (ex : KEGG), création de graphique (en R)\r\n. analyse couplée transcriptome / traductome", "homepage": "", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "NGS Sequencing Data Analysis" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "PUBLICS :\r\n- Biologistes, professionnels des sciences du vivant ayant besoin d'analyser des données de séquençage\r\n- Ingénieurs ou chercheurs en bioinformatique\r\n- Bioanalystes\r\n \r\nPRÉREQUIS\r\n- Notions de base en informatique : fichiers, répertoire...\r\n- Notions du système linux et des lignes de commande\r\n- Niveau master", "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://ressources.france-bioinformatique.fr/sites/default/files/ATGClogox120.png", "updated_at": "2023-01-24T10:47:30.457628Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/401/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/510/?format=api" ] }, { "id": 272, "name": "Molecular Phylogeny - Level 2", "shortName": "Phylogénie moléculaire - Niveau 2", "description": "OBJECTIF\r\n- Être capable de tester des hypothèses et d'ajuster des modèles permettant de comprendre l'évolution à l'échelle moléculaire\r\n\r\nPRÉREQUIS\r\n- Avoir déjà utilisé les logiciels de base en phylogénie moléculaire\r\n- Maîtriser les notions de base en statistiques (tests statistiques, principe du bootstrap, intervalles de confiances, etc.) et de probabilités (probabilités jointes / conditionnelles, théorème de Bayes, etc.)\r\n- Maîtriser un langage de programmation\r\n- Notions de phylogénie moléculaire\r\nAvoir suivi le stage \"Phylogénie moléculaire - formation de base\" ou niveau équivalent \r\n\r\nPROGRAMME\r\n- Phylogénétique et génétique des populations\r\n- Détection de sélection positive au sein de séquences codantes\r\n- Datation moléculaire : intégrer fossiles et molécules\r\n- Phylogénomique\r\n- Super-arbres et super-matrices, réconciliations d'arbres\r\n- Visualisation de l'information en phylogénie\r\n- Placement phylogénétique\r\n- Bases d'épidémiologie (modèles en compartiments, ODE, applications, etc)\r\n- Simulations selon une variété de modèles épidémiologiques\r\n- Phylodynamique : combiner épidémiologie et évolution", "homepage": "", "is_draft": false, "costs": [ "Priced", "1200 €" ], "topics": [], "keywords": [ "Phylogeny", "Selection Detection", "Phylogenomics" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/282/?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://ressources.france-bioinformatique.fr/sites/default/files/ATGClogox120_0.png", "updated_at": "2023-01-24T10:49:17.913427Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/474/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/511/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/402/?format=api" ] }, { "id": 273, "name": "Phylogénie moléculaire", "shortName": "", "description": "- Acquérir des connaissances théoriques et pratiques en phylogénie moléculaire\n- Être autonome dans la conduite d'une analyse phylogénétique\n- Maîtriser le choix, le paramétrage et l'exploitation des résultats des programmes de phylogénie\n", "homepage": "https://cnrsformation.cnrs.fr/stage-20466-Phylogenie-moleculaire.html", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 59, "name": "LBBE", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/LBBE/?format=api" } ], "organisedByTeams": [], "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/UMR_5558_LBBE.jpg", "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/403/?format=api" ] }, { "id": 274, "name": "Principes FAIR pour la gestion des données de recherche en sciences de la vie", "shortName": "FAIR data", "description": "Présentation et application des principes FAIR de gestion des données dans un projet bioinformatique.\r\nL’Institut Français de Bioinformatique (IFB) organise une formation à destination de bioinformaticiens, biologistes et médecins impliqués dans des projets d’analyse bioinformatique de jeux de données omiques et souhaitant mettre en œuvre les principes “FAIR” (Facile à trouver, Accessible, Interopérable, Réutilisable) tout au long du déroulement du projet. La formation abordera les différents points fondamentaux (théoriques, pratiques, juridiques) en lien avec la politique nationale d’ouverture des données de la recherche et présentera sous forme de séances pratiques les ressources nationales accessibles à la communauté scientifique ainsi que les solutions proposées par l’IFB pour gérer les données d’un projet de recherche.", "homepage": "https://ifb-elixirfr.github.io/IFB-FAIR-data-training/", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3420", "http://edamontology.org/topic_3571", "http://edamontology.org/topic_0219" ], "keywords": [ "Données" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "public", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 3, "name": "IFB", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IFB/?format=api" } ], "organisedByOrganisations": [ { "id": 43, "name": "IFB-core", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB-core/?format=api" } ], "organisedByTeams": [ { "id": 29, "name": "IFB Core", "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/?format=api" } ], "logo_url": "https://www.france-bioinformatique.fr/wp-content/uploads/logo-ifb-couleur.svg", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "A la fin de cette formation, les participants connaîtront et pourront mettre en œuvre les principes de la science ouverte pour gérer leurs jeux de données dans un projet :\r\n- Les principes fondamentaux de l’Open Data en biologie et santé, y compris dans ses aspects juridiques ;\r\n- Les bonnes pratiques et outils de gestion des données d’un projet en bioinformatique, en lien avec les ressources de l’infrastructure IFB ;\r\n- Le PGD : séances théoriques et pratiques de construction d’un PGD sur des exemples de jeux de données omiques ;\r\n- Le choix des métadonnées : panorama des ressources existantes pour choisir des métadonnées et mise en pratique pour annoter des jeux de données omiques en vue de la publication des données dans une banque internationale ou un dataverse institutionnel.", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/418/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/404/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/465/?format=api" ] }, { "id": 275, "name": "Single-Cell : Transcriptomics, Spatial and Long reads", "shortName": "SincellTE", "description": "This workshop focuses on the large-scale study of heterogeneity across individual cells from a genomic, transcriptomic and epigenomic point of view. New technological developments enable the characterization of molecular information at a single cell resolution for large numbers of cells. The high dimensional omics data that these technologies produce raise novel methodological challenges for the analysis. In this regard, dedicated bioinformatics and statistical methods have been developed in order to extract robust information.\r\n\r\nThe workshop aims to provide such methods for engineers and researchers directly involved in functional genomics projects making use of single-cell technologies. A wide range of single cell topics will be covered in lectures, demonstrations and practical classes. Among others, the areas and issues to be addressed will include the choice of the most appropriate single-cell sequencing technology, the experimental design and the bioinformatics and statistical methods and pipelines. For this edition, new courses/practicals will focus on spatial transcriptomics, cell phenotyping and additional multi-omics.\r\n\r\nA wide range of single cell topics will be covered in lectures, demonstrations and practical classes. Among others, the areas and issues to be addressed will include the choice of the most appropriate single-cell sequencing technology, the experimental design and the bioinformatics and statistical methods and pipelines. For this edition, new courses/practicals will focus on spatial transcriptomics, cell phenotyping and additional multi-omics.\r\n\r\nRequirements : Participants must have prior experience on NGS data analysis with everyday use of R and good knowledge of Unix command line. Before the training, participants will be asked to familiarize themselves with the processing and primary analyses steps of scRNA-seq datasets with provided pedagogic material.\r\n\r\nIt is not necessary to have personal single-cell data to analyse.", "homepage": "", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [ "Master", "Autre (Diplôme universitaire, école d'ingénieur ...)" ], "openTo": "Everyone", "accessConditions": "Participants must have prior experience on NGS data analysis with everyday use of R and/or Python and good knowledge of Unix command line. Before the training, participants are advised to familiarize themselves with the processing and primary analyses steps of scRNA-seq datasets. \r\nIt is not necessary to have personal single-cell data to analyse.", "maxParticipants": 30, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 4, "name": "IFB", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB/?format=api" } ], "organisedByTeams": [], "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/sincellTE_logo_0_2.png", "updated_at": "2024-03-20T09:31:42.144175Z", "audienceTypes": [], "audienceRoles": [ "Researchers", "Life scientists", "Biologists", "Bioinformaticians" ], "difficultyLevel": "Intermediate", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/199/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/405/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/422/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/177/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/606/?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": 4, "name": "IFB", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB/?format=api" }, { "id": 6, "name": "Elixir-FR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Elixir-FR/?format=api" }, { "id": 8, "name": "Elixir", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/Elixir/?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": 277, "name": "Principes FAIR dans un projet de bioinformatique", "shortName": "FAIR bioinfo", "description": "L’Institut Français de Bioinformatique (IFB) organise en partenariat avec l’Institut de Biologie Intégrative de la Cellule (I2BC) une formation à destination des bioinformaticiens et biostatisticiens souhaitant mettre en oeuvre les principes “FAIR” (Facile à trouver, Accessible, Interopérable, Réutilisable) dans leurs projets d’analyse et de développement. Les concepts FAIR, initialement définis dans le contexte d’ouverture des données de la recherche, seront ici adaptés pour cadrer avec un projet type de développement et/ou analyse bioinformatique/biostatistique. Ainsi, la formation n’abordera pas les aspects “FAIR” spécifiques aux données mais introduira plusieurs outils permettant d’améliorer la reproductibilité des analyses.", "homepage": "https://ifb-elixirfr.github.io/IFB-FAIR-bioinfo-training/", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0769" ], "keywords": [ "Computing Environments", "NGS Sequencing Data Analysis", "Workflow development" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 3, "name": "IFB", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/IFB/?format=api" } ], "organisedByOrganisations": [ { "id": 43, "name": "IFB-core", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB-core/?format=api" }, { "id": 64, "name": "I2BC", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/I2BC/?format=api" } ], "organisedByTeams": [], "logo_url": "https://www.france-bioinformatique.fr/wp-content/uploads/logo-ifb-couleur.svg", "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Intermediate", "trainingMaterials": [], "learningOutcomes": "A la fin de cette formation, les participants pourront mettre en oeuvre les principes de la science reproductible : encapsuler un environnement de travail, concevoir et exécuter des workflows, gérer des versions de code, passer à l’échelle sur un cluster de calcul, gérer des environnements logiciels et assurer la traçabilité de leur analyse à l’aide de Notebooks.", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/462/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/502/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/421/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/416/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/508/?format=api" ] }, { "id": 278, "name": "Linux - Initiation / Linux for Beginners", "shortName": "Linux Init", "description": "Objectifs :\r\n- Être capable de se connecter à une machine Linux\r\n- Être capable de transférer des fichiers à partir de/vers une machine Linux\r\n- Être capable de naviguer dans le système de fichiers\r\n- Être capable d’examiner le contenu d’un fichier et de gérer l’espace disque\r\n- Être capable de gérer les droits d’accès aux répertoires et aux fichiers.\r\n- Être capable de gérer le lancement, l’interruption et l’arrêt de processus", "homepage": "https://abims.sb-roscoff.fr/module/linux_init", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3316" ], "keywords": [ "Linux", "Operating systems" ], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 16, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 65, "name": "SBR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/SBR/?format=api" } ], "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": "2025-02-21T08:34:15.576596Z", "audienceTypes": [ "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/712/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/623/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/424/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/499/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/520/?format=api" ] }, { "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_0797", "http://edamontology.org/topic_0085", "http://edamontology.org/topic_3301" ], "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": [], "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 of Paris-Saclay", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/University%20of%20Paris-Saclay/?format=api" } ], "organisedByTeams": [ { "id": 9, "name": "MicroScope", "url": "https://catalogue.france-bioinformatique.fr/api/team/MicroScope/?format=api" } ], "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/plateforme-logo/MicroScope_logo.png", "updated_at": "2022-06-02T11:50:50.812642Z", "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/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" ] }, { "id": 283, "name": "Presentation of IMGT® standards, databases, tools and web resources", "shortName": "IMGT", "description": "Presentation of IMGT® patterns and resources for the study of genes, expressed repertoires and three-dimensional structures of immunoglobulins (antibodies) and T cell receptors.", "homepage": "https://www.imgt.org/", "is_draft": false, "costs": [], "topics": [ "http://edamontology.org/topic_3930", "http://edamontology.org/topic_3948" ], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [], "logo_url": null, "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": true, "event_set": [] }, { "id": 284, "name": "Analyse primaire de données issues de séquenceurs nouvelle génération sous Galaxy", "shortName": "Analyse de données NGS sous Galaxy", "description": "Objectifs pédagogiques\r\nConnaître les concepts et méthodes bioinformatiques utilisés pour l’analyse primaire de données issues de séquenceurs nouvelle génération (NGS). Savoir effectuer un alignement sur un génome de référence, un assemblage de novo d’un génome bactérien\r\n\r\nProgramme\r\nThéorie\r\n* Présentation des différents types de technologies de séquençage (lectures longues et courtes)\r\n\r\nPratique : Analyse des données de séquençage d’un génome bactérien\r\n* Contrôle qualité\r\n* Assemblage de-novo\r\n* Nettoyage des données\r\n* Assemblage\r\n* Visualisation et statistiques sur l’assemblage\r\n* Alignement de lectures sur un génome de référence et visualisation\r\nTous les TPs seront réalisés sous l’environnement d’exécution de traitements Galaxy.", "homepage": "https://documents.migale.inrae.fr/trainings.html", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0092", "http://edamontology.org/topic_0102", "http://edamontology.org/topic_0196", "http://edamontology.org/topic_3168" ], "keywords": [ "Galaxy", "NGS" ], "prerequisites": [ "Galaxy - Basic usage" ], "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": "2024-01-18T13:51:11.796060Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "Connaître les concepts et méthodes bioinformatiques utilisés pour l’analyse primaire de données issues de séquenceurs nouvelle génération (NGS). Savoir effectuer un alignement sur un génome de référence, un assemblage de novo d’un génome bactérien", "hoursPresentations": 3, "hoursHandsOn": 3, "hoursTotal": 6, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/582/?format=api" ] }, { "id": 285, "name": "Linux Avancé / Advanced Linux", "shortName": "Advanced Linux", "description": "Objectifs\r\n- Savoir utiliser des commandes linux pour traiter de grosses quantités de données : fichiers\r\nvolumineux et/ou en grands nombres : recherche, comptage, tri, fusion, …\r\nProgramme\r\n- Introduction\r\n- Décrire (wc, grep)\r\n- Manipuler des fichiers tabulés (cut, sort)\r\n- Rechercher (grep)\r\n- Redirection / Pipeline (stdin, stdout, stderr, >, 2>, &&, |)\r\n- Recherche avancée : notion d’expression régulière (egrep)\r\n- Rechercher/Remplacer haut débit (tr, sed)\r\n- Manipulation de fichier tabulé – mode avancé (awk)\r\n- Traitement séquentiel de nombreux fichiers (for)", "homepage": "https://abims.sb-roscoff.fr/module/linux_advanced", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3316" ], "keywords": [], "prerequisites": [ "Linux - Basic Knowledge" ], "openTo": "Everyone", "accessConditions": "Preregistration required using: https://abims.sb-roscoff.fr/ateliers/preinscription", "maxParticipants": 18, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 65, "name": "SBR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/SBR/?format=api" } ], "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": "2025-02-21T08:42:13.294211Z", "audienceTypes": [ "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [], "difficultyLevel": "Intermediate", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 3, "hoursHandsOn": 4, "hoursTotal": 7, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/497/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/435/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/521/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/713/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/624/?format=api" ] }, { "id": 286, "name": "Utilisation du cluster - SLURM / Cluster usage - SLURM", "shortName": "Cluster SLURM", "description": "Objectifs\r\n- Disposer des concepts et de bonnes pratiques d’utilisation des ressources de calcul.\r\n- Être capable d’utiliser les ressources de calcul de la plateforme en toute autonomie.\r\nProgramme\r\n- Introduction : les équipements (calcul et stockage), espaces de travail, les outils et les données.\r\n- Calcul parallèle : concepts, ressources\r\n- Soumission de jobs (srun, sbatch)\r\n- Monitorer, vérifier, controler les jobs (squeue, scontrol, scancel, sacct).\r\n- Base de l’optimisation d’un job\r\n- Solutions de parallélisation des jobs : (--array)", "homepage": "https://abims.sb-roscoff.fr/module/cluster_slurm", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3316" ], "keywords": [], "prerequisites": [ "Linux - Basic Knowledge" ], "openTo": "Everyone", "accessConditions": "Preregistration required using: https://abims.sb-roscoff.fr/ateliers/preinscription", "maxParticipants": 18, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 65, "name": "SBR", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/SBR/?format=api" } ], "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": "2025-02-21T08:43:49.795981Z", "audienceTypes": [ "Graduate", "Professional (initial)", "Professional (continued)" ], "audienceRoles": [ "All" ], "difficultyLevel": "Intermediate", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/625/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/714/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/498/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/440/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/522/?format=api" ] }, { "id": 287, "name": "Introduction to Oxford Nanopore Technology data analyses", "shortName": "Introduction to ONT data analyses", "description": "This course offers an introduction to ONT data analysis. It includes 5 issues: basecalling, reads quality control, assemblies and polishing/correction, contig quality and structural variants detection.", "homepage": "https://southgreenplatform.github.io/trainings//ont/", "is_draft": false, "costs": [ "Free" ], "topics": [ "http://edamontology.org/topic_3673", "http://edamontology.org/topic_0196", "http://edamontology.org/topic_3168" ], "keywords": [], "prerequisites": [ "Linux and knowledge of NGS formats" ], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 15, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 24, "name": "South Green", "url": "https://catalogue.france-bioinformatique.fr/api/team/South%20Green/?format=api" } ], "logo_url": "https://southgreenplatform.github.io/trainings//images/southgreenlong.png", "updated_at": "2023-01-24T10:21:58.467251Z", "audienceTypes": [ "Professional (initial)" ], "audienceRoles": [ "Life scientists", "Biologists" ], "difficultyLevel": "Novice", "trainingMaterials": [ { "id": 1, "name": "SG-ONT-slides", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/SG-ONT-slides/?format=api" } ], "learningOutcomes": "* Understanding limits and advantages of ONT technology\r\n* Manipulating ONT data on a virtual machine on jupyter environment\r\n* Handling mapping, assembly, polishing tools and be able to analyse your own data\r\n* Detecting structural variations using long reads", "hoursPresentations": 6, "hoursHandsOn": 6, "hoursTotal": 12, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/441/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/450/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/562/?format=api" ] }, { "id": 288, "name": "Introduction to Linux", "shortName": "BirdLinux", "description": "Objectives\r\n- Understand the principles and advantages of the Linux system\r\n- Know and use the main bash commands. 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\nPedagogical 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- Shell usage: command reminders, input/output redirection, history, completion, launching programs with arguments.\r\n- Commands relevant to bioinformatics: grep, cut, sed, sort, more, etc.\r\n- Connection (ssh) - how to start a session from Linux or Windows PowerShell", "homepage": "https://pf-bird.univ-nantes.fr/training/", "is_draft": false, "costs": [ "Priced" ], "topics": [ "http://edamontology.org/topic_0605" ], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 12, "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://pf-bird.univ-nantes.fr/medias/photo/small_1612545616928-png", "updated_at": "2024-02-08T15:29:55.120700Z", "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/639/?format=api" ] }, { "id": 289, "name": "Introduction to galaxy: looking for variants in prokaryotes", "shortName": "Introduction to galaxy", "description": "This course will focus on the technical aspects of using a galaxy server. Accessible without any prerequisite in computer science, it will allow you to master the different fundamental tools of galaxy and will open the doors of bioinformatics analysis for your different projects.\r\nDifferent questions will be addressed through an example of variants analysis in a prokaryotic organism. At the end of this course, on any accessible galaxy instance, you will be able to:\r\n- upload your data\r\n- map them on a reference genome\r\n- find the variants (SNPs) and analyze the results\r\n- generate, manipulate and share your workflows, data and histories\r\n- find the right tools for other analyses and use them in your own project.\r\n\r\nUnless all participants speak French, the course will be taught in English.", "homepage": "https://pliniuscursus.univ-amu.fr/formation/galaxy-platform/", "is_draft": false, "costs": [ "Free to academics" ], "topics": [ "http://edamontology.org/topic_0091", "http://edamontology.org/topic_0622" ], "keywords": [], "prerequisites": [ "Master" ], "openTo": "Internal personnel", "accessConditions": "The first sessions are only available for IM2B students.", "maxParticipants": 12, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 23, "name": "PACA-Bioinfo", "url": "https://catalogue.france-bioinformatique.fr/api/team/PACA-Bioinfo/?format=api" } ], "logo_url": null, "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [ "Graduate" ], "audienceRoles": [ "Biologists" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 1, "hoursHandsOn": 5, "hoursTotal": 6, "personalised": null, "event_set": [] }, { "id": 290, "name": "NGS data analysis on the command line", "shortName": "NGS-analysis-cli", "description": "This hands-on course will teach bioinformatic approaches for analyzing Illumina sequencing data. Our goal is to introduce the command line skills you need to make the most of your NGS data. \r\nDuring this 4-day training we will first introduce the Linux environment, shell commands and basic R scripting. And then we will focus on two NGS data analyses -- small RNA-seq and RNA-seq -- based on published datasets from the model organism Arabidopsis thaliana", "homepage": "https://www.ibmp.cnrs.fr/bioinformatics-trainings/", "is_draft": false, "costs": [ "Free to academics" ], "topics": [ "http://edamontology.org/topic_0102", "http://edamontology.org/topic_3170", "http://edamontology.org/topic_2269", "http://edamontology.org/topic_3168" ], "keywords": [], "prerequisites": [ "none" ], "openTo": "Internal personnel", "accessConditions": "This training is dedicated to academics working in a laboratory of Unistra/CNRS.", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/124/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [ { "id": 79, "name": "UPR2357", "url": "https://catalogue.france-bioinformatique.fr/api/organisation/UPR2357/?format=api" } ], "organisedByTeams": [ { "id": 14, "name": "BiGEst", "url": "https://catalogue.france-bioinformatique.fr/api/team/BiGEst/?format=api" } ], "logo_url": null, "updated_at": "2024-01-22T14:51:37.215331Z", "audienceTypes": [], "audienceRoles": [ "Biologists", "Bioinformaticians" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "Applied Knowledge (Know-how):\r\n- Basic proficiency at the Linux command line prompt\r\n- Basic proficiency of R (environment, objects, graphs) \r\n- Next generation sequencing (NGS) file formats; reference genomes - Mapping NGS read data to reference genomes (bowtie, samtools)\r\n- Small RNA-seq analysis; epigenomics applications (ShortStack)\r\n- RNA-seq for transcriptomics; differential gene expression analysis (HISAT2, DESeq2) - Data wrangling and visualization in R (Rstudio, ggplot2)", "hoursPresentations": 12, "hoursHandsOn": 16, "hoursTotal": 28, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/503/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/504/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/589/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/454/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/660/?format=api" ] }, { "id": 291, "name": "Formation au logiciel R", "shortName": "Formation au logiciel R", "description": "Introduction au logiciel R et à son utilisation pour réaliser des graphiques et faire des analyses statistiques basiques en biologie. Introduction aux bibliothèques R utiles en biologie.", "homepage": "http://www.prabi.fr/spip.php?article273", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Everyone", "accessConditions": "", "maxParticipants": 14, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 19, "name": "PRABI-AMSB", "url": "https://catalogue.france-bioinformatique.fr/api/team/PRABI-AMSB/?format=api" } ], "logo_url": null, "updated_at": "2022-06-02T11:50:50.812642Z", "audienceTypes": [ "Professional (initial)" ], "audienceRoles": [ "Life scientists" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "- Acquérir les compétences nécessaires à l’utilisation du logiciel R\r\n- Connaître les principales analyses statistiques nécessaires en biologie et les utiliser sous R\r\n- Réaliser des graphiques sous R\r\n- Connaitre les bibliothèques R utiles en Biologie", "hoursPresentations": 9, "hoursHandsOn": 12, "hoursTotal": 21, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/437/?format=api" ] }, { "id": 294, "name": "Linux for Dummies", "shortName": "", "description": "This course offers an introduction to work with Linux. We will describe the Linux environment, the first linux commands so participants can start to utilize command-line tools and feel comfortable using bioinformatics softwares through a linux terminal", "homepage": "https://southgreenplatform.github.io/trainings//linux/", "is_draft": false, "costs": [], "topics": [], "keywords": [], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Open to South Green close collaborators", "maxParticipants": 15, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "organisedByTeams": [ { "id": 24, "name": "South Green", "url": "https://catalogue.france-bioinformatique.fr/api/team/South%20Green/?format=api" } ], "logo_url": "https://southgreenplatform.github.io/trainings//images/southgreenlong.png", "updated_at": "2023-12-04T15:05:31.847400Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": 3, "hoursHandsOn": 4, "hoursTotal": 7, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/468/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/555/?format=api" ] }, { "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/708/?format=api" ] } ] }
