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            "name": "Linux - Initiation / Linux for Beginners",
            "shortName": "Linux Initiation",
            "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",
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                "http://edamontology.org/topic_3316"
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                "Linux",
                "Operating systems"
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            "openTo": "Everyone",
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            "updated_at": "2025-02-21T08:52:59.581686Z",
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            "name": "Initiation à R / R Initiation - 2022 Session 1",
            "shortName": "R Initiation - 2022 S1",
            "description": "Objectifs\r\n- Savoir utiliser les commandes de base pour la manipulation et la description de jeux de données\r\ntabulés\r\n- Être capable de suivre le module R avancé\r\nProgramme\r\n- Introduction au langage R sous l’environnement Rstudio.\r\n- Premières additions.\r\n- Importation/exportation de données tabulées.\r\n- Manipulation d’objets plus complexes : vector, factor, matrice, data.frame, list\r\n- Fonctions mathématiques : sum, min, max, mean, mediane, log2\r\n- Fonctions propres à R pour la manipulation de tableaux : subset, apply, table, match, %in%\r\n- Les graphiques : plot, barplot, boxplot, points, lines …",
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            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
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            "end_date": null,
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            "id": 481,
            "name": "Statistiques avec R / Statistics with R - 2022 Session 1",
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            "description": "Objectifs\r\n- Choisir un test statistique adapté à un problème donné.\r\n-\r\nImporter des données et réaliser un test avec R.\r\nProgramme\r\n- Théorie : modèle, loi de distribution, hypothèse H0, variable de test, p-value, tests multiples, FDR\r\n- Pratique : réalisation de tests sous R dans un environnement convivial (RStudio)\r\n-\r\ntests usuels simples : Gauss, Student, χ2\r\n-\r\ntests multiples : ANOVA, correction (ex. Student multiple), tests spécifiques (ex. SAM)",
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            "updated_at": "2022-06-02T11:50:50.627601Z",
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            "name": "Introduction to python 2023",
            "shortName": "",
            "description": "This course provides an introduction to programming using python. At the end of the training, participants should be able to write simple python programs to handle biological data and to understand more complex programs written by others.\r\nNote : This course in currently available only in french",
            "homepage": "https://southgreenplatform.github.io/trainings//python/",
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            "logo_url": "https://southgreenplatform.github.io/trainings//images/southgreenlong.png",
            "updated_at": "2023-12-04T15:38:04.906796Z",
            "type": "Training course",
            "start_date": "2023-04-17",
            "end_date": "2023-04-20",
            "venue": "",
            "city": "Montpellier",
            "country": "France",
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            "id": 405,
            "name": "4th Workshop Single-Cell / SincellTE 2022 / Single-Cell : Transcriptomics, Spatial and Multi-Omics",
            "shortName": "SincellTE 2022",
            "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": "https://www.france-bioinformatique.fr/formation/single-cell-2022/",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
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            "prerequisites": [
                "Master",
                "Autre (Diplôme universitaire, école d'ingénieur ...)"
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            "updated_at": "2022-09-15T13:10:14.790898Z",
            "type": "Training course",
            "start_date": "2022-01-09",
            "end_date": "2022-01-14",
            "venue": "Roscoff Biological Station\r\nPlace Georges Teissier",
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            "id": 515,
            "name": "Cycle « Analyse de données de séquençage à haut-débit » - Module  Analyses ADN (sous Galaxy) - Session Mars 2023",
            "shortName": "",
            "description": "Bilille, la plateforme de bioinformatique, biostatistique et bioanalyse de la métropole lilloise, propose chaque année un cycle de formation d'introduction à l'analyse des données de séquençage à haut débit.\r\nCe cycle est composé des modules suivants, à la carte : \r\n- Analyses ADN\r\n- Analyses de variants\r\n- Métagénomique\r\n- Analyses ChIP-seq\r\n- Analyses RNA-seq\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\n\r\nLes objectifs du module Analyses ADN sont :\r\n- Apprendre à manipuler des données de séquençage d’ADN\r\n- Réaliser des contrôles de qualité et du nettoyage des lectures\r\n- Présenter les méthodes et outils d'alignement\r\n- Réaliser des contrôles de qualité et des alignements sur une référence\r\n- Introduction à l’assemblage des lectures sans référence\r\n- Utiliser la plateforme Galaxy pour ces analyses",
            "homepage": "https://bilille.univ-lille.fr/training/training-offer",
            "is_draft": false,
            "costs": [
                "Free to academics"
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            "keywords": [
                "NGS Data Analysis",
                "Assembly of genomes and transcriptomes",
                "Read alignment on genomes",
                "NGS Sequencing Data Analysis"
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            "prerequisites": [
                "Galaxy - Basic usage"
            ],
            "openTo": "Everyone",
            "accessConditions": "Le cycle de formation \"Analyse de données de séquençage à haut-débit\" organisé par bilille est financé par les services formation des personnels de l'Université de Lille, CNRS et Inserm, et est ouvert en priorité aux personnels de la région des Hauts-de-France de ces organismes.",
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            "updated_at": "2024-12-09T17:37:52.573465Z",
            "type": "Training course",
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            "end_date": "2023-03-09",
            "venue": "",
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        {
            "id": 624,
            "name": "Linux Avancé / Advanced Linux - 2024",
            "shortName": "Advanced Linux - 2024",
            "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)",
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            "costs": [
                "Free"
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            "logo_url": "https://abims.sb-roscoff.fr/sites/default/files/abims.png",
            "updated_at": "2025-01-23T13:51:43.807358Z",
            "type": "Training course",
            "start_date": "2024-05-29",
            "end_date": "2024-05-29",
            "venue": "",
            "city": "Roscoff",
            "country": "France",
            "geographical_range": "",
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            "registration_opening": "2024-03-29",
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        {
            "id": 277,
            "name": "Cycle « Analyse de données de séquençage à haut-débit » - Module 3/5 : Analyses RNA-seq - partie 1 (bioinformatique)",
            "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 3 sont :\r\n- Savoir réaliser une analyse transcriptomique par RNA-seq avec ou sans (de novo) génome de référence à l’aide du portail Galaxy\r\n- Avoir un regard critique sur la qualité des lectures obtenues par le séquenceur\r\n- Connaître et savoir paramétrer les outils nécessaires à l’analyse",
            "homepage": "https://bilille.univ-lille.fr/training/training-offer",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [
                "NGS Data Analysis",
                "Analysis of RNAseq data",
                "Gene expression differential analysis",
                "Transcript and transcript variant analysis",
                "Transcriptomics (RNA-seq)",
                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [
                "Galaxy - Basic usage"
            ],
            "openTo": "Internal personnel",
            "accessConditions": "Etre familier avec la plate-forme web Galaxy (idéalement avoir suivi la formation bilille « Initiation à Galaxy »)\r\nAvoir 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.",
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            "logo_url": "https://bilille.univ-lille.fr/fileadmin/_processed_/9/2/csm_logo_bilille_complet_65be9bda8b.png",
            "updated_at": "2024-12-09T17:38:45.171785Z",
            "type": "Training course",
            "start_date": "2019-06-12",
            "end_date": "2019-06-13",
            "venue": "",
            "city": "Villeneuve d'Ascq",
            "country": "",
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        {
            "id": 704,
            "name": "Mathematical and Computational Evolutionary Biology (MCEB)",
            "shortName": "MCEB",
            "description": "MCEB will take place in Granada, Spain for its 2025 edition. The meeting will put the emphasis on methods and models for phylogenomics and population genomics. Beyond this year's themes, general concepts, models, methods and algorithms will be presented and discussed, just as in the previous editions of MCEB. As usual, the meeting will bring together researchers originating from various disciplines: mathematics, statistics, computer science, phylogenetics, population genetics, molecular epidemiology, biodiversity and macroevolution... Keynote speakers will\r\nintroduce a field of research and discuss their own work in this field. Afternoon will be for short presentations and posters, with plenty of time for discussions. We will stop early every day, thus leaving time for other activities.\r\n\r\nKEYNOTES:\r\n** Sophie Abby - \"Evolution of biosynthetic pathways in Bacteria\"\r\n** Richard Durbin - \"Population genome variation – going beyond SNPs\"\r\n** Lisa Pokorny Montero - \"Genomic approaches to the study of plant evolution\"\r\n** Harald Ringbauer - \"Advanced ancient DNA analysis\"\r\n** Kristina Wicke - \"Inference of phylogenetic networks\"\r\n** Jaime Huerta-Cepas - \"Evolutionary significance of unknown microbial genes\"",
            "homepage": "https://mceb2025.sciencesconf.org/",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [
                "http://edamontology.org/topic_3293",
                "http://edamontology.org/topic_3050",
                "http://edamontology.org/topic_3056",
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            "keywords": [
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                "Biodiversity",
                "Evolution and Phylogeny",
                "Phylogenetics"
            ],
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            "accessConditions": "PRACTICAL INFORMATION\r\n\r\n** Place: \"Carmen de la Victoria\" and \"Corrala de Santiago\", Granada, Spain.\r\n\r\n** Dates: May 12-16th, 2025. The conference will begin Monday evening and will\r\n  end at about 3pm on Friday.\r\n\r\n** Fees: Between 650€ to 850€. Fees will vary depending on the type of room,\r\n  shared (for students) or individual. They include accommodation for four nights\r\n  with breakfast, lunches, coffee breaks, two dinners and drinks around posters\r\n  from Monday night until Friday lunchtime included.\r\n\r\n** Deadline for abstract submission and pre-registration: February 21, 2025.\r\n\r\n** Notification of acceptance: March 15, 2025.",
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            "end_date": "2023-06-19",
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            ],
            "logo_url": "https://southgreenplatform.github.io/trainings//images/southgreenlong.png",
            "updated_at": "2023-12-04T15:32:09.166517Z",
            "type": "Training course",
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            "end_date": "2023-05-23",
            "venue": "",
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            "geographical_range": "",
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            "description": "This training session is organized by the Genotoul bioinfo platform and aims at learning sequence analysis. This training session has been designed to familiarize yourself with the platform resources and its organization. You will learn to access the platform from your work station, what is an Linux environment and how to use it, how to create and manipulate files, how to transfer them from and to your personal computer.\r\n\r\nThis training is focused on practice. It consists of 3 modules with a large variety of exercises:\r\n\r\n- Connect to « genotoul » server (09:00 am to 10:30 am): Platform presentation, Linux basics, opening an user account, Putty installation, first connection.\r\n- Files and basics commands  (10:45 am to 12:00 pm): types of files and secure access, file manipulation commands, text editors and viewers, disk space management .\r\n- Transfers and file manipulation (14:00 pm to 17:00 pm): download/transfer, compress/uncompress, utility commands and data extraction, output redirections.",
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            ],
            "logo_url": "http://bioinfo.genotoul.fr/wp-content/uploads/bioinfo_logo-rvb-petit.png",
            "updated_at": "2024-12-06T20:39:17.845500Z",
            "type": "Training course",
            "start_date": "2025-03-11",
            "end_date": "2025-03-11",
            "venue": "",
            "city": "castanet-tolosan",
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            "id": 406,
            "name": "8ème Ecole de Bioinformatique AVIESAN-IFB-Inserm",
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            "homepage": "https://ressources.france-bioinformatique.fr/fr/formations/8%C3%A8me-%C3%A9cole-bioinformatique-aviesan-ifb",
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                "Sequence analysis",
                "NGS Sequencing Data Analysis"
            ],
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                    "id": 14,
                    "name": "BiGEst",
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            "type": "Training course",
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            "end_date": "2019-11-08",
            "venue": "",
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            "country": "France",
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            "name": "EBAII : Ecole de Bioinformatique \"Traitement des données de génomique obtenues par séquençage à haut débit\"  niveau intermédiaire - session 2025",
            "shortName": "EBAII N2 session juin 2025",
            "description": "Objectifs\r\nLa formation s’adresse à des biologistes directement impliqués dans des projets “Next Generation Sequencing” (NGS). Cette édition de l’école aborde les nouveaux enjeux technologiques: elle s’articulera autour de trois ateliers thématiques en session parallèle (bulk RNA-seq, ChIP-seq, variants génomiques/GWAS), et abordera la visualisation et l’intégration des données. L’école vise à approfondir les concepts, à manipuler des outils informatiques avancés et à en interpréter les résultats.\r\nElle est basée sur une alternance de courtes sessions théoriques et d’ateliers pratiques. Les participants bénéficieront d’un tutorat personnalisé pour élaborer leur plan d’analyse, et effectuer les premières étapes de traitement de leurs propres données.\r\nAttention : le tutorat n'a pas pour vocation de réaliser l’analyse complète des données des participants.",
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                "http://edamontology.org/topic_3168",
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                "Sequence analysis",
                "NGS Sequencing Data Analysis"
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            "end_date": "2025-06-06",
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            "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.",
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                "http://edamontology.org/topic_0085",
                "http://edamontology.org/topic_3301"
            ],
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            "openTo": "Everyone",
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            "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.",
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                "http://edamontology.org/topic_3301"
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            "name": "New session of FAIR_bioinfo_@_AuBi",
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            "homepage": "https://mesocentre.uca.fr/actualites/pratiques-fair-en-bioinformatique-pour-des-analyses-reproductibles",
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            "costs": [
                "Free to academics"
            ],
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            "keywords": [
                "Methodology",
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                "Cloud",
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                "Docker",
                "R"
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            "prerequisites": [
                "Linux - Basic Knowledge"
            ],
            "openTo": "Everyone",
            "accessConditions": "Having an account on Mesocentre Clermont Auvergne Infrastructure",
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                    "id": 101,
                    "name": "iGReD",
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            "updated_at": "2025-02-17T13:11:26.183643Z",
            "type": "Training course",
            "start_date": "2025-05-19",
            "end_date": "2025-02-21",
            "venue": "",
            "city": "Aubière",
            "country": "France",
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            ],
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            "registration_closing": "2025-05-12",
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        {
            "id": 422,
            "name": "Ecole thématique CNRS Single-Cell 2020 // Transcriptomique et épigénomique en cellule unique: théorie et pratique",
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            "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": "https://ressources.france-bioinformatique.fr/fr/evenements/ecole-single-cell-2020",
            "is_draft": false,
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                "Priced"
            ],
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            "prerequisites": [
                "Master",
                "Autre (Diplôme universitaire, école d'ingénieur ...)"
            ],
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            "accessConditions": "None",
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            ],
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            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
            "start_date": "2020-09-27",
            "end_date": "2020-10-02",
            "venue": "Station Biologique",
            "city": "Roscoff",
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}