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            "start_date": "2026-11-30",
            "end_date": "2026-12-02",
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                "Machine learning"
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                "Data analysis"
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            "end_date": "2026-09-18",
            "venue": "Centre for Genomic Regulation (CRG)",
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            "registration_opening": "2024-03-12",
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            "shortName": "",
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            "name": "Introduction à la Phylogénie Moléculaire : Concepts, méthodes et interprétation",
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            "type": "Training course",
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            "end_date": "2017-12-21",
            "venue": "",
            "city": "Institut Pasteur",
            "country": "",
            "geographical_range": "",
            "trainers": [],
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        },
        {
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            "description": "This course offers an introduction to RNASeq analyses using two different workflow management systems: Galaxy and TOGGLe. This includes reference-based mapping, estimates of transcript levels, differential expression (DE) analyses, visualization of statistics results.\nPrerequisites\nWorkflow management system (Galaxy, TOGGLe)\n\nProgram\nMapping of RNASeq against a transcriptome reference with kallisto (Galaxy)\nMapping of RNASeq against an annotated genome reference with TopHat (TOGGLe)\nDifferential expression analysis using EdgeR and DESeq2\nPlots, clustering, co-expression network: degust, WGCNA\n\n\nLearning objectives\nManipulate packages/tools available for searching DE genes\nThink about different normalisation methods\nDetect differentially expressed genes\nCompare results between two approaches\n\n\nInstructors\nAlexis Dereeper - alexis.dereeper@ird.fr\nSebastien Cunnac - sebastien.cunnac@ird.fr\nSebastien Ravel - sebastien.ravel@cirad.fr\nChristine Tranchant  - christine.tranchant@ird.fr\n\n",
            "homepage": "https://southgreenplatform.github.io/trainings//rnaseq/",
            "is_draft": false,
            "costs": [
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            ],
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            "type": "Training course",
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            "country": "",
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            "name": "Training on annotation of transposable elements",
            "shortName": "",
            "description": "The objectives of this training are: \nTo acquire knowledge on transposable elements\nTo achieve annotation of transposable elements in the genome using REPET pipelines\nTo be autonomous on your own data.\nProgram\nOpening presentations on transposable elements and their annotation\nStrategies of repeat annotation\nREPET pipelines overview and practices \nPost-analyze tools overview and practices\n \n",
            "homepage": "https://urgi.versailles.inra.fr/Platform/Training/Training-on-annotation-of-tran…",
            "is_draft": false,
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            ],
            "topics": [],
            "keywords": [
                "Bioinformatics and Plant Genomics",
                "Sequence analysis"
            ],
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            "openTo": "Internal personnel",
            "accessConditions": "This training is dedicated to biologists and/or bioinformaticians (10 pers. max)\nCost : 150€\nRegistration and information by mail to: urgi-contact@inra.fr\n",
            "maxParticipants": null,
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            "updated_at": "2022-06-02T11:50:50.627601Z",
            "type": "Training course",
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            "end_date": "2018-06-12",
            "venue": "",
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        },
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            "name": "Intégration d'outils dans Galaxy",
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            "description": "Galaxy (https://galaxyproject.org/) est une plateforme permettant d’intégrer et d’exécuter via une interface graphique des outils bioinformatiques, normalement utilisables en ligne de commande. Galaxy permet ainsi de faciliter l’utilisation de ces outils par tous, dans un environnement contrôlé,mais aussi de favoriser la reproductibilité des analyses (workflows, …).\nActuellement, > 3 750 outils (disponibles sur https://toolshed.g2.bx.psu.edu/) peuvent être intégrés à Galaxy. Mais tous les outils bioinformatiques dont vous pouvez avoir besoin ne sont pas intégrés dans \nl’environnement Galaxy. Et vous devez ainsi parfois renoncer à utiliser Galaxy et ses avantages pour traiter vos données.\n\nUn workshop est organisé à Clermont-Ferrand le Mercredi 25 Mai 2016. \nN’hésitez pas à faire circuler cette information aux personnes potentiellement intéressées.\nMerci par avance.\nBérénice BATUT\n\n",
            "homepage": "https://brnice.typeform.com/to/vCq4AV",
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            "venue": "",
            "city": "Université d'Evry Val d'Essonne",
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            "venue": "",
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