Training List
Handles creating, reading and updating training events.
GET /api/training/?format=api&offset=40&ordering=keywords
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Aucun pré-requis en informatique n'est attendu.\r\nLe cycle est constitué de quatre modules de deux jours:\r\n- Banques de données et BLAST\r\n- Alignement de séquences\r\n- Prédiction de gènes et annotation de protéines\r\n- Initiation à la reconstruction phylogénétique en biologie moléculaire\r\nCes modules peuvent être suivis indépendamment, mais ont une cohérence. Suivre chaque module peut aider à une meilleure compréhension des modules suivants.\r\nLes fiches descriptives des différents modules sont accessibles sur le site web de Bilille.\r\nLes objectifs du module 3 sont :\r\n- découvrir les logiciels liés à la prédiction de gènes et à l'annotation de protéines\r\n- acquérir la méthodologie pour prédire les gènes présents sur un génome qu'il soit bactérien ou eucaryote\r\n- acquérir la méthodologie pour analyser la séquence protéique prédite et en déduire la fonction possible de la protéine, avoir une idée de sa localisation cellulaire et de sa structure\r\n- être capable d'analyser les résultats obtenus par les logiciels avec un regard critique", "homepage": "https://bilille.univ-lille.fr/training/training-offer", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Autre", "Sequence analysis", "proteomics", "Sequence annotation", "Pattern matching", "Protein inference and validation" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "- Savoir utiliser un ordinateur (Windows...) : naviguer sur internet (Internet Explorer ou Firefox), utiliser un traitement de texte (Word ou OpenOffice).\r\n- Être familié avec les banques de données, Blast, formats de séquences et alignements de séquences (idéalement avoir suivi le module 1/4 « Banques de données et Blast » et le module 2/4 « Alignements de séquences » du cycle d'initiation à la bioinformatique).", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "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": "2024-12-09T17:42:03.687244Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [] }, { "id": 67, "name": "RNAseq de novo assembly", "shortName": "", "description": "This training session has been designed to give you an overview of the methods and tools used to de novo assemble transcriptomic short reads. You will learn how to pre-process your raw data (fastq files), how an assembler works and how to use it. Finally you will learn how to assess the quality of your assemblies in order to choose the best one. Organized jointly by the Sigenae and bioinfo genotoul platforms.\n", "homepage": "http://bioinfo.genotoul.fr/index.php/events/rnaseq-de-novo-assembly-2/", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "NGS Data Analysis", "Analysis of RNAseq data", "Transcript and transcript variant analysis", "Transcriptomics (RNA-seq)", "Sequence annotation" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "You need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private.\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": 50, "name": "Fc3-Bio", "shortName": "", "description": "1 à 4 séances de deux jours par an\n", "homepage": "http://www.fc3bio.fr/", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Comparative and de novo structure modeling", "Post-translational modifications", "Dynamic and thermodynamic structure properties analysis", "NGS Data Analysis", "Virtual screening", "Structure-based screening", "Sequence Algorithm", "Ligand-Based Screening (QSAR)", "Sequence analysis", "2D/3D", "ADME/tox", "Small chemical compound libraries", "Structure analysis", "homology and structural pattern matching", "Homology/orthology prediction", "Structural Bioinformatics", "Predictions of structural properties", "Sequence annotation", "Pattern matching", "Multiple sequence alignment" ], "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": 59, "name": "Advanced sequence analysis", "shortName": "", "description": "https://cnrsformation.cnrs.fr/stage-19019-Analyse-avancee-de-sequences.h...\n", "homepage": "https://cnrsformation.cnrs.fr/pdf/16148.pdf", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "NGS Data Analysis", "Analysis of RNAseq data", "Sequence Algorithm", "Bioinformatics & Biomedical", "Galaxy", "Variant analysis", "Transcriptomics (RNA-seq)", "Genomics (DNA-seq)", "Sequence annotation", "Pattern matching", "Multiple sequence alignment" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "CNRS fee-based training\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/259/?format=api" ] }, { "id": 155, "name": "Cycle « Initiation à la bioinformatique » - Module 3/4 : Prédiction de gènes et annotation de protéines", "shortName": "", "description": "Bilille propose un cycle de découverte de la bioinformatique à destination des chercheur·euses, enseignant·es-chercheur·euses, ingénieur·es, technicien·nes et doctorant·es en biologie. Aucun pré-requis en informatique n'est attendu.\r\nLe cycle est constitué de quatre modules de deux jours:\r\n- Banques de données et BLAST\r\n- Alignement de séquences\r\n- Prédiction de gènes et annotation de protéines\r\n- Initiation à la reconstruction phylogénétique en biologie moléculaire\r\nCes modules peuvent être suivis indépendamment, mais ont une cohérence. Suivre chaque module peut aider à une meilleure compréhension des modules suivants.\r\nLes fiches descriptives des différents modules sont accessibles sur le site web de Bilille.\r\nLes objectifs du module 3 sont :\r\n- découvrir les logiciels liés à la prédiction de gènes et à l'annotation de protéines\r\n- acquérir la méthodologie pour prédire les gènes présents sur un génome qu'il soit bactérien ou eucaryote\r\n- acquérir la méthodologie pour analyser la séquence protéique prédite et en déduire la fonction possible de la protéine, avoir une idée de sa localisation cellulaire et de sa structure\r\n- être capable d'analyser les résultats obtenus par les logiciels avec un regard critique", "homepage": "https://bilille.univ-lille.fr/training/training-offer", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Autre", "Sequence analysis", "proteomics", "Sequence annotation", "Pattern matching", "Protein inference and validation" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "- Savoir utiliser un ordinateur (Windows...) : naviguer sur internet (Internet Explorer ou Firefox), utiliser un traitement de texte (Word ou OpenOffice).\r\n- Être familié avec les banques de données, Blast, formats de séquences et alignements de séquences (idéalement avoir suivi le module 1/4 « Banques de données et Blast » et le module 2/4 « Alignements de séquences » du cycle d'initiation à la bioinformatique).", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "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": "2024-12-09T17:42:03.687244Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [] }, { "id": 154, "name": "Cycle « Initiation à la bioinformatique » - Module 2/4 : Alignement de séquences", "shortName": "", "description": "Bilille propose un cycle de découverte de la bioinformatique à destination des chercheur·euses, enseignant·es-chercheur·euses, ingénieur·es, technicien·nes et doctorant·es en biologie. Aucun pré-requis en informatique n'est attendu.\r\nLe cycle est constitué de quatre modules de deux jours:\r\n- Banques de données et BLAST\r\n- Alignement de séquences\r\n- Prédiction de gènes et annotation de protéines\r\n- Initiation à la reconstruction phylogénétique en biologie moléculaire\r\nCes modules peuvent être suivis indépendamment, mais ont une cohérence. Suivre chaque module peut aider à une meilleure compréhension des modules suivants.\r\nLes fiches descriptives des différents modules sont accessibles sur le site web de Bilille.\r\nLes objectifs du module 2 sont :\r\n- Découvrir les différents types d'alignement pour les séquences protéiques et nucléiques\r\n- Savoir choisir le logiciel et les paramètres adaptés à une problématique (alignement local, global, multiple...)\r\n- Comprendre les méthodes algorithmiques pour l'alignement de séquences\r\n- Comprendre les paramètres des logiciels\r\n- Etre capable d'analyser un résultat d'alignement avec un regard critique", "homepage": "https://bilille.univ-lille.fr/training/training-offer", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Autre", "Sequence Algorithm", "Sequence analysis", "Pattern matching", "Multiple sequence alignment" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "- Savoir utiliser un ordinateur (Windows…) : naviguer sur internet (Internet Explorer ou Firefox), utiliser un traitement de texte (Word ou OpenOffice).\r\n- Etre familier avec les banques de données, Blast et formats de séquences (idéalement avoir suivi le module 1/4 « Banques de données et Blast » du cycle d'initiation à la bioinformatique).", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "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": "2024-12-09T17:42:17.819204Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [] }, { "id": 320, "name": "Ecole Thématique de Bioinformatique Intégrative / Integrative Bioinformatics Training School", "shortName": "ETBII", "description": "Dans l’objectif de développer et fédérer des compétences en bioinformatique intégrative au sein de la communauté, l’IFB propose une nouvelle école thématique ayant un double objectif :\r\n- une montée en compétences théoriques et pratiques des bioinformaticiens,\r\n- la constitution de matériel pédagogique partagé sur ce sujet.\r\n\r\nCette école rassemble une équipe pédagogique de 10 personnes et pourra accueillir 30 participants pour sa première édition.\r\nL’ensemble de la formation reposera sur l’utilisation des ressources de calcul et de la plateforme pédagogique de l’Institut Français de Bioinformatique.\r\n\r\nObjectifs pédagogiques \r\n\r\nLa formation a pour but :\r\n- d’introduire les concepts de bases et les différents types d’approches utilisées en bioinformatique intégrative,\r\n- de proposer un approfondissement et une mise en pratique d’une de ces approches sur un/des jeux de données intégrant différents types de données omiques. Cette mise en oeuvre permettra de balayer l’ensemble des points d’attention d’une analyse intégrative, de la préparation des données jusqu’à l’interprétation des résultats,\r\n- de créer, améliorer et partager les ressources pédagogiques (supports de formation, jeux de données, tutoriels) sur le thème de la bioinformatique intégrative.\r\n\r\nA la fin de cette formation les participants :\r\n- auront acquis un socle de connaissances générales en bioinformatique intégrative, \r\n- auront mis en oeuvre une analyse intégrative depuis la préparation des données jusqu’à l’analyse critique de résultats sur un/des jeux de données proposés lors de la formation,\r\n- auront contribué à constituer du matériel pédagogique partagé sur le sujet.\r\n\r\nPré-requis\r\n- Connaissances de base en Unix/shell, R et/ou Python \r\n- Autonomie dans la gestion de son poste de travail (installation de librairies et maîtrise des environnements de packaging type conda)", "homepage": "https://www.france-bioinformatique.fr/formation/etbii/", "is_draft": false, "costs": [ "770 TTC pour les académiques et 1540 TTC pour les privés" ], "topics": [ "http://edamontology.org/topic_0091", "http://edamontology.org/topic_3391", "http://edamontology.org/topic_3366" ], "keywords": [ "Methodology", "Biostatistics", "Biological network inference and analysis", "Dimension reduction", "Semantic web", "Integration of heterogeneous data", "Data Integration", "Tool integration" ], "prerequisites": [ "Linux and knowledge of NGS formats", "Basic knowledge of R" ], "openTo": "Everyone", "accessConditions": "Cette formation est ouverte à toute la communauté mais cette première édition s’adresse en priorité à des bioinformaticien·ne·s des plateformes membres et équipes associées IFB souhaitant contribuer à la constitution de matériel pédagogique pour se préparer au montage de futures formations sur ce thème.", "maxParticipants": 30, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/762/?format=api" ], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 1, "name": "CNRS - IFB", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/CNRS%20-%20IFB/?format=api" } ], "organisedByOrganisations": [ { "id": 4, "name": "IFB - 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://drive.google.com/file/d/1a_fuOgqOU812GRJLApGMofJ87WTlxDI0/view?usp=sharing", "updated_at": "2024-12-03T15:46:48.157120Z", "audienceTypes": [ "Professional (continued)" ], "audienceRoles": [ "Life scientists", "Computer scientists", "Bioinformaticians" ], "difficultyLevel": "Novice", "trainingMaterials": [], "learningOutcomes": "A la fin de cette formation les participants :\r\n- auront acquis un socle de connaissances générales en bioinformatique intégrative, \r\n- auront mis en oeuvre une analyse intégrative depuis la préparation des données jusqu’à l’analyse critique de résultats sur un/des jeux de données proposés lors de la formation,\r\n- auront contribué à constituer du matériel pédagogique partagé sur le sujet.", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": false, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/740/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/489/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/505/?format=api" ] }, { "id": 261, "name": "COURS PROGRAMMATION SCIENTIFIQUE EN PYTHON", "shortName": "", "description": "The ever growing usage of high throughput technologies in Biology is revolutionizing the life sciences and profoundly changing its practices. Scripting languages are used on a daily basis in life science labs in order to mine huge data sets produced by high-throughput devices. This two-week course will give participants basic knowledge in python and state-of-the-art machine learning methods to analyze their own data sets.\nDescription:\nThis course is intended for PhD students, engineers and research scientists willing to acquire knowledge in scientific programming. Throughout the course, we will use Python language to lead participants from the basics of computer programming to more advanced techniques such as practical machine learning techniques.\n", "homepage": "https://www.pasteur.fr/fr/programmation-scientifique-python", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [ "Toolkit", "Tool integration", "Workflow development", "Parallelization", "Développements technologiques de l‘Information et de la Communication" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 12, "name": "INCEPTION", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/INCEPTION/?format=api" } ], "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/49/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/393/?format=api" ] }, { "id": 16, "name": "Formations à la plate-forme Microscope", "shortName": "", "description": "The LABGeM team at Genoscope regularly organizes training courses dedicated to the analysis of bacterial genomes via the use of the MicroScope platform at the University of Évry.\n \nThe course \"Annotation and analysis of prokaryotic genomes using the MicroScope platform\" lasting 4.5 days is aimed at:\nacquiring theoretical and practical knowledge of genome annotation tools (structural and functional annotation, metabolic networks annotation)\nknowing how to interpret the results of functional annotation tools\nknowing how to carry out various comparative analyzes: analyzes of conserved syntenia, pan-genomes, phylogenetic and metabolic profiles\nlearning to interpret the results of metabolic network prediction tools and search for candidate genes for enzymatic activities\napplying those tools to the analysis of genomes of interest to the participants \nEach session is made up of half theory and half practical work. During the training, participants have the opportunity to work on their own data during practical work.\n \nThis training is aimed at doctoral students, engineers, researchers, experienced biological or medical laboratory technicians. It concerns both people who already have an annotation project on the MicroScope platform and wishing to deepen its use, as well as those wishing to learn microbial genomics.\n \n \nIn addition, if you are a user of the MicroScope platform and you have already followed the training \"Annotation and analysis of prokaryotic genomes using the MicroScope platform\" a few years ago we have implemented a new training , the \"MicroScope Platform - Advanced Course\" training in order to update your knowledge on the latest evolutions of the platform and to deepen some of its major functionalities.\n \nThis training, lasting 2 days, will consolidate your use of the platform but also go further:\nPresentation of the evolutions of the MicroScope platform\nPresentation of the new flagship features of the MicroScope platform\nPresentation of tools for RNA-seq analyzes\nDeepening of the functionalities allowing the exploration of the bacterial metabolism\n", "homepage": "https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-t…", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Methodology", "Metagenomics", "Metabolic Network Modelling", "Read alignment on genomes", "Gene expression differential analysis", "Web portals", "Variant analysis", "Interfaces", "Systems Biology", "Interoperability", "Metabolomics and Fluxomics", "Metabolic network analysis", "Genome analysis", "Structural and functional annotation of genomes", "Complete genomes", "Transcriptomics (RNA-seq)", "Genomics (DNA-seq)", "Functional and regulatory pathways comparison", "Genomes comparison", "Data collection curation", "Comparative genomics", "Data Integration", "Data management and transfer", "NGS Sequencing Data Analysis", "Toolkit", "Tool integration", "Databases and information systems", "Développements technologiques de l‘Information et de la Communication" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "For more information and registration : https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/.\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": 261, "name": "COURS PROGRAMMATION SCIENTIFIQUE EN PYTHON", "shortName": "", "description": "The ever growing usage of high throughput technologies in Biology is revolutionizing the life sciences and profoundly changing its practices. Scripting languages are used on a daily basis in life science labs in order to mine huge data sets produced by high-throughput devices. This two-week course will give participants basic knowledge in python and state-of-the-art machine learning methods to analyze their own data sets.\nDescription:\nThis course is intended for PhD students, engineers and research scientists willing to acquire knowledge in scientific programming. Throughout the course, we will use Python language to lead participants from the basics of computer programming to more advanced techniques such as practical machine learning techniques.\n", "homepage": "https://www.pasteur.fr/fr/programmation-scientifique-python", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [ "Toolkit", "Tool integration", "Workflow development", "Parallelization", "Développements technologiques de l‘Information et de la Communication" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [ { "id": 12, "name": "INCEPTION", "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/INCEPTION/?format=api" } ], "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/49/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/393/?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" } ], "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": 264, "name": "Linking gene and function, comparative genomics tools for biologists", "shortName": "", "description": "More than twenty years after the first bacterial genome has been sequenced, microbiologists are faced with an avalanche of genomic data. However the quality of the functional annotations of the sequenced proteome is very poor with more than half of the sequenced proteins remaining of unknown function. After taking this course, students should master an array of web-based tools to help to predict gene function. This will allow them to generate in silico based functional predictions and produce illustration for manuscripts that use comparative genomic methods. For background read (https://www.ncbi.nlm.nih.gov/pubmed/20001958)\n", "homepage": "https://c3bi.pasteur.fr/training-linking-gene-and-function-comparative-genomics-…", "is_draft": false, "costs": [ "Free" ], "topics": [], "keywords": [ "Functional and regulatory pathways comparison", "Genomes comparison", "Comparative genomics", "Databases and information systems" ], "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/396/?format=api" ] }, { "id": 16, "name": "Formations à la plate-forme Microscope", "shortName": "", "description": "The LABGeM team at Genoscope regularly organizes training courses dedicated to the analysis of bacterial genomes via the use of the MicroScope platform at the University of Évry.\n \nThe course \"Annotation and analysis of prokaryotic genomes using the MicroScope platform\" lasting 4.5 days is aimed at:\nacquiring theoretical and practical knowledge of genome annotation tools (structural and functional annotation, metabolic networks annotation)\nknowing how to interpret the results of functional annotation tools\nknowing how to carry out various comparative analyzes: analyzes of conserved syntenia, pan-genomes, phylogenetic and metabolic profiles\nlearning to interpret the results of metabolic network prediction tools and search for candidate genes for enzymatic activities\napplying those tools to the analysis of genomes of interest to the participants \nEach session is made up of half theory and half practical work. During the training, participants have the opportunity to work on their own data during practical work.\n \nThis training is aimed at doctoral students, engineers, researchers, experienced biological or medical laboratory technicians. It concerns both people who already have an annotation project on the MicroScope platform and wishing to deepen its use, as well as those wishing to learn microbial genomics.\n \n \nIn addition, if you are a user of the MicroScope platform and you have already followed the training \"Annotation and analysis of prokaryotic genomes using the MicroScope platform\" a few years ago we have implemented a new training , the \"MicroScope Platform - Advanced Course\" training in order to update your knowledge on the latest evolutions of the platform and to deepen some of its major functionalities.\n \nThis training, lasting 2 days, will consolidate your use of the platform but also go further:\nPresentation of the evolutions of the MicroScope platform\nPresentation of the new flagship features of the MicroScope platform\nPresentation of tools for RNA-seq analyzes\nDeepening of the functionalities allowing the exploration of the bacterial metabolism\n", "homepage": "https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-t…", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Methodology", "Metagenomics", "Metabolic Network Modelling", "Read alignment on genomes", "Gene expression differential analysis", "Web portals", "Variant analysis", "Interfaces", "Systems Biology", "Interoperability", "Metabolomics and Fluxomics", "Metabolic network analysis", "Genome analysis", "Structural and functional annotation of genomes", "Complete genomes", "Transcriptomics (RNA-seq)", "Genomics (DNA-seq)", "Functional and regulatory pathways comparison", "Genomes comparison", "Data collection curation", "Comparative genomics", "Data Integration", "Data management and transfer", "NGS Sequencing Data Analysis", "Toolkit", "Tool integration", "Databases and information systems", "Développements technologiques de l‘Information et de la Communication" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "For more information and registration : https://labgem.genoscope.cns.fr/professional-trainings/microscope-professional-trainings/.\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": 153, "name": "Cycle « Initiation à la bioinformatique » - Module 1/4 : Banques de données et Blast", "shortName": "", "description": "Bilille propose un cycle de découverte de la bioinformatique à destination des chercheur·euses, enseignant·es-chercheur·euses, ingénieur·es, technicien·nes et doctorant·es en biologie. Aucun pré-requis en informatique n'est attendu.\r\nLe cycle est constitué de quatre modules de deux jours:\r\n- Banques de données et BLAST\r\n- Alignement de séquences\r\n- Prédiction de gènes et annotation de protéines\r\n- Initiation à la reconstruction phylogénétique en biologie moléculaire\r\nCes modules peuvent être suivis indépendamment, mais ont une cohérence. Suivre chaque module peut aider à une meilleure compréhension des modules suivants.\r\nLes fiches descriptives des différents modules sont accessibles sur le site web de Bilille.\r\nLes objectifs du module 1 sont :\r\n- Découvrir différentes banques de données de séquences généralistes\r\n- Savoir interroger les banques de données et réaliser des requêtes pertinentes\r\n- Comprendre la structure des données\r\n- Savoir utiliser de manière optimale le logiciel Blast en fonction de l'application visée (ex : recherche d’homologie, prédiction de gènes…)\r\n- Etre capable d'analyser un résultat avec un regard critique", "homepage": "https://bilille.univ-lille.fr/training/training-offer", "is_draft": false, "costs": [], "topics": [], "keywords": [ "Autre", "Sequence analysis", "Multiple sequence alignment", "Databases and information systems" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "Savoir utiliser un ordinateur (Windows...) : naviguer sur internet (Internet Explorer ou Firefox), utiliser un traitement de texte (Word ou OpenOffice).", "maxParticipants": null, "contacts": [], "elixirPlatforms": [], "communities": [], "sponsoredBy": [], "organisedByOrganisations": [], "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": "2024-12-09T17:42:24.618464Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "", "trainingMaterials": [], "learningOutcomes": "", "hoursPresentations": null, "hoursHandsOn": null, "hoursTotal": null, "personalised": null, "event_set": [] }, { "id": 270, "name": "Command line inititation", "shortName": "", "description": "Objectives :\n Knowing the principles and advantages of the Linux system\n Knowing how to use the main bash commands\n Knowing how to launch programs with arguments\n Acquiring autonomy to perform bioinformatics analysis on the command line.\n", "homepage": "http://www.pf-bird.univ-nantes.fr/training/", "is_draft": false, "costs": [ "Priced" ], "topics": [], "keywords": [ "Cluster", "Computing Environments" ], "prerequisites": [], "openTo": "Internal personnel", "accessConditions": "This training is open to all (public and private) with no institution restrictions and is accessible through the University of Nantes continuing education programme.\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": 63, "name": "Cluster", "shortName": "", "description": "This training session is designed to help you deal with the platform compute cluster and data banks. You will launch your first processing batch on the cluster and will learn how to track and manage them. Organized jointly by the Sigenae and bioinfo genotoul platforms.", "homepage": "http://bioinfo.genotoul.fr/index.php/events/cluster-2/", "is_draft": false, "costs": [ "Priced", "Non-academic: 550€ + 20% taxes (TVA)", "Academic but non-INRAE: 170 € + 20% taxes (TVA)", "For INRAE's staff: 150 € no VAT charged;" ], "topics": [], "keywords": [ "Linux", "Cluster" ], "prerequisites": [ "Linux/Unix" ], "openTo": "Everyone", "accessConditions": "You need to register (via the website) and pay 170 euros a day for academic and 550 euros a day for a private.", "maxParticipants": 12, "contacts": [ "https://catalogue.france-bioinformatique.fr/api/userprofile/344/?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": "http://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png", "updated_at": "2025-12-01T11:56:37.014694Z", "audienceTypes": [], "audienceRoles": [], "difficultyLevel": "Novice", "trainingMaterials": [ { "id": 139, "name": "Cluster Slides", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Cluster%20Slides/?format=api" }, { "id": 140, "name": "TP Cluster", "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/TP%20Cluster/?format=api" } ], "learningOutcomes": "", "hoursPresentations": 3, "hoursHandsOn": 3, "hoursTotal": 6, "personalised": null, "event_set": [ "https://catalogue.france-bioinformatique.fr/api/event/475/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/477/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/610/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/261/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/633/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/668/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/529/?format=api", "https://catalogue.france-bioinformatique.fr/api/event/720/?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_0091", "http://edamontology.org/topic_0769", "http://edamontology.org/topic_3307", "http://edamontology.org/topic_3068" ], "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" ] } ] }
