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            "id": 251,
            "name": "Initiation à R",
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            "description": "\nObjectifs\n\n- Présenter le langage de programmation R et ses principes.\n- Utiliser les principales fonctionnalités de ce langage pour effectuer des calculs mathématiques, statistiques ou des représentations graphiques.\n- Attention : ce module n'est ni un module de statistique, ni un module d'analyse statistique des données.\n\nProgramme\n\n- Structures et manipulation de données.\n- Principaux éléments du langage de programmation (boucle, fonctions…).\n- Différentes représentations graphiques de données/résultats (plot, histogramme, boxplot).\n",
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            "city": "Jouy en Josas",
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            "name": "Rendre ses outils disponibles sur un cloud OpenStack",
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            "type": "Training course",
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            "id": 325,
            "name": "Formation librairie GATB",
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                "Free"
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            "city": "IBMP - Strasbourg",
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            "name": "Principes FAIR pour la gestion des données de recherche en sciences de la vie - édition Francilienne - Session 1 (mars)",
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            "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.",
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            "updated_at": "2023-10-16T08:30:29.394936Z",
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            "id": 255,
            "name": "Analyse statistique RNA-seq sous Galaxy",
            "shortName": "",
            "description": "\nObjectifs\n\nSe sensibiliser aux concepts et méthodes statistiques pour l'analyse de données transcriptomiques de type RNA-Seq.\nComprendre le matériel et méthodes (normalisation et tests statistiques) d'un article\ndu domaine.\nComprendre les particularités liées à la nature des données.\n\n \n \nProgramme\n\nPlanification expérimentale des expériences RNA-Seq (identification des biais, répétitions, biais contrôlables).\nNormalisation et analyse différentielle : recherche de \"régions d'intérêt\" différentiellement exprimées (modèle linéaire généralisé).\nPrise en compte de la multiplicité des tests.\nLe cours sera illustré par différents exemples et un jeu de données sera traité à l'aide du package R SARTools (basé sur les packages R DESeq2 et edgeR) dans les environnements Galaxy et RStudio.\n",
            "homepage": "http://migale.jouy.inra.fr/",
            "is_draft": false,
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            "id": 382,
            "name": " Linux For Jedi",
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            "description": "This course offers to develop and enhance advanced Linux shell command line and scripting skills for the processing and analysis of NGS data. We will work on a HPC server and use linux powerful commands to allow to analyze big amount of biological data.\n \nPrerequisites\nBasic knowledge of Linux (Linux for dummies required)\n\nProgram\nConnecting to a distant HPC\nManipuling text files\nComplex searching for text in a file\nCombining several commands\nWriting simple shell scripts\n\n\nLearning objectives\nAfter this course, participants should be able to:\nManipulate and search within text files\nChain and combine commands\nPerform the same actions on many files\nWrite a simple shell script\n\n\n \n\n\nInstructors\nChristine Tranchant (CT) - christine.tranchant@ird.fr\nNdomassi Tando (NT) - ndomassi.tando@ird.fr\nBruno Granouillac (BG) - bruno.granouillac@ird.fr​\nFrançois Sabot (SB) - francois.sabot@ird.fr\nGautier Sarah (GS) - gautier.sarah@cirad.fr\n\n",
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            "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 6 modules, à la carte : \r\n- Module 1: Analyses ADN\r\n- Module 2: Analyses de variants\r\n- Module 3 : Métagénomique\r\n- Module 4: ChIP-seq\r\n- Module 5: Analyses RNA-seq, bioinformatique\r\n- Module 6: Analyses RNA-seq, biostatistique\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 5 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",
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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.",
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                "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": 518,
            "name": "Statistiques avec R / Statistics with R - Session 1 - 2023",
            "shortName": "R - Stats 2023 S1",
            "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)",
            "homepage": "https://abims.sb-roscoff.fr/training/courses",
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                "Basic knowledge of R"
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            "updated_at": "2023-05-17T09:27:31.911754Z",
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            "end_date": "2023-06-01",
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            "registration_opening": "2023-02-22",
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        {
            "id": 537,
            "name": "New session of FAIR_bioinfo_@_AuBi",
            "shortName": "New session of 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,
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                "Free to academics"
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