Handles creating, reading and updating training materials.

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            "name": "Docker for Beginners",
            "description": "What is Docker?\nBuilding an image\nBioShadock & Orchestration\n",
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            "doi": null,
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            "id": 66,
            "name": "Galaxy III: Visualization",
            "description": "Visualization of Next Generation Sequencing Data using the Integrative Genomics Viewer (IGV)\n",
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            "doi": null,
            "fileLocation": "https://www.france-bioinformatique.fr/sites/default/files/G06_TP_IGV_2016.pdf",
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            "id": 89,
            "name": "Docker Tutorial",
            "description": "Docker is free software that automates the deployment of applications in software containers executant in isolation. A Docker container, away from traditional virtual machines, requires no separate operating system and not providing any but relies instead on the core functionality and uses the isolation of resources and namespaces separated to isolate the operating system as seen by the application.\n",
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            "fileLocation": "http://bioserv.rpbs.univ-paris-diderot.fr/tutorials.html",
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            "id": 25,
            "name": "Bioconda packaging of the Regulatory Sequence Analysis Tools (RSAT)",
            "description": "\n \n\nBioconda packaging of the Regulatory Sequence Analysis Tools (RSAT)\n \n",
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            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/bioconda-packaging_e168/scormcontent/index.html",
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            "id": 135,
            "name": "training RNASEQ Bioinfo part",
            "description": "Cette formation a pour but de vous aider à traiter les séquences courtes issues des plates-formes de séquençage Illumina. Vous y découvrirez les formats de séquences et d’alignement les biais connus et mettrez en œuvre des logiciels d'alignement épissé sur génome de référence, la recherche de nouveaux gènes, de nouveaux transcrits et la quantification de l'expression de ces gènes et transcrits.",
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            "fileLocation": "https://genotoul-bioinfo.pages.mia.inra.fr/training-rnaseq",
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            "id": 39,
            "name": "Galaxy Handlers",
            "description": "Galaxy is a web application that uses handlers to perform actions.\nThere are two main types of actions that are carried out by handlers:\nRespond to user requests; These actions are carried out by web handlers\nManage the execution of tools; These actions are performed by job handlers.\nBy default, Galaxy is configured to run a single handler that handles both user queries and jobs.\nDepending on the number of users accessing your Galaxy instance or the number of jobs you need to manage you may need to start web handlers or additional job handlers.\n",
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            "id": 17,
            "name": "Enrichment and propagation of metagenomic experimental metadata",
            "description": "\n \n\nEnrichment and propagation of metagenomic experimental metadata\n \n",
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            "id": 93,
            "name": "Cross Taxa Tutorial",
            "description": "How query databases according to complex taxonomic critera\nCross-Taxa allows to retrieve gene families that are shared by a given set of taxa, or which are specific to a set of taxa. It is also possible to select genes families which are associated to a certain set of taxa but which are not found in a second set of taxa. Any taxonomic level can be used.\n",
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            "doi": null,
            "fileLocation": "http://www.prabi.fr/spip.php?article41",
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            "id": 119,
            "name": "Visualization of NGS data with IGV",
            "description": "Visualisation of next-gen sequencing data with Integrative Genomics Viewer\n",
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        {
            "id": 106,
            "name": "Genomic copy number Tutorial",
            "description": "We will analyze the copy number variations of a human tumor (parotid gland carcinoma), limited to the chr17, from a WES (whole-exome sequencing) experiment. All genomic coordinates correspond to the 2009 build of the reference human genome (hg19 / GRC37).\n",
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            "doi": null,
            "fileLocation": "http://ecole-bioinfo-aviesan.sb-roscoff.fr/sites/ecole-bioinfo-aviesan.sb-roscoff.fr/files/files/CNV_TD_guidelines_BJ.pdf",
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            "keywords": [
                "Structural genomics",
                "Copy number"
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        {
            "id": 11,
            "name": "Improve Shiny and RStudio integration within Galaxy using Galaxy Interactive Environment",
            "description": "\n \n\nImprove Shiny and RStudio integration within Galaxy using Galaxy Interactive Environment\n \n",
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            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/improve-shiny-and-rstudio_fcd3/scormcontent/index.html",
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        {
            "id": 136,
            "name": "training RNASeq biostat part",
            "description": "This course is part of the INRAE training session about “bioinformatics and biostatistics analysis of RNA-seq data” and of the Biostatistics platform “Initiation à LA statistique, niveau 4”. \r\nThe material provided on the present webpage is related to the biostatistics part and covers the following topics:\r\n\r\nR and RStudio\r\ndesign of experiments\r\nvariability\r\ncount data normalization\r\ndifferential analysis\r\nThe material has originally been prepared by Ignacio Gonzales, Annick Moisan and myself. The class has already been taught by these persons but also by Gaëlle Lefort and Jérôme Mariette.\r\n\r\nPre-requisites: A background in R programming is necessary for this class. Before the class, please download the course material and install R, RStudio and the packages as described below. To produce high quality figures, I will use ggplot2 for plots but will not enter into details about the ggplot2 syntax. If you are not familiar with it, you can just use these command lines or switch to base plots instead.",
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            "doi": null,
            "fileLocation": "https://www.nathalievialaneix.eu/teaching/rnaseq.html",
            "fileName": "rnaseq.html",
            "topics": [],
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            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "Intermediate",
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        {
            "id": 137,
            "name": "Linux slides",
            "description": "Slides for linux session (genotoul bioinfo facility)",
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            "doi": null,
            "fileLocation": "https://bioinfo.genotoul.fr/wp-content/uploads/Formation_LINUX_GenoToul_2023.pdf",
            "fileName": "Formation_LINUX_GenoToul_2023.pdf",
            "topics": [],
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            "difficultyLevel": "Novice",
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        {
            "id": 101,
            "name": "REPET: TEdenovo tutorial",
            "description": "The TEdenovo pipeline follows a philosophy in three first steps:\nDetection of repeated sequences (potential TE)\nClustering of these sequences\nGeneration of consensus sequences for each cluster, representing the ancestral TE\n",
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            "doi": null,
            "fileLocation": "https://urgi.versailles.inra.fr/Tools/REPET/TEdenovo-tuto",
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            "topics": [],
            "keywords": [
                "genomics",
                "Annotation"
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            "dateCreation": null,
            "dateUpdate": null,
            "licence": "CeCILL",
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        {
            "id": 26,
            "name": "Assessing the FAIRness of Training Materials",
            "description": "\n \n\nAssessing the FAIRness of Training Materials\n \n",
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            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/assessing-the-ffairness_8da7/scormcontent/index.html",
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            "id": 82,
            "name": "Sequencing 6000 chloroplast genomes : the PhyloAlps project",
            "description": "Biodiversity is now commonly described by DNA based approches. Several actors are currently using DNA to describe biodiversity, and most of the time they use different genetic markers that is hampering an easy sharing of the accumulated knowledges. Taxonomists rely a lot on the DNA Barcoding initiative, phylogeneticists often prefer markers with better phylogenic properties, and ecologists, with the coming of the DNA metabarcoding, look for a third class of markers easiest to amplify from environmental DNA. Nevertheless they have all the same need of the knowledge accumulated by the others. But having different markers means that the sequecences have been got from different individuals in differente lab, following various protocoles. On that base, building a clean reference database, merging for each species all the available markers becomes a challenge. With the phyloAlps project we implement genome skimming at a large  scale and propose it as a new way to set up such universal reference database usable by taxonomists, phylogeneticists, and ecologists. The Phyloalps project is producing for each species of the Alpine flora at least a genome skim composed of six millions of 100bp sequence reads. From such data it is simple to extract all chloroplastic, mitochondrial and nuclear rDNA markers commonely used. Moreover, most of the time we can get access to the complete chloroplast genome sequence and to a shallow sequencing of many nuclear genes. This methodes have already been successfully applied to algeae, insects and others animals. With the new single cell sequencing methods it will be applicable to most of the unicellular organisms. The good question is now : Can we consider the genome skimming as the next-generation DNA barcode ?\n",
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            "doi": null,
            "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/videos/scorms/metagenomics16/session_3/Sequencing_6000_chloroplast_genomes_the_PhyloAlps_project/scormcontent/",
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            "topics": [],
            "keywords": [
                "Metagenomics"
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            "dateCreation": "2016-12-16",
            "dateUpdate": null,
            "licence": "CC BY-NC-ND",
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            "id": 27,
            "name": "Application of RDF-based models and tools for enhancing interoperable",
            "description": "\n \n\nApplication of RDF-based models and tools for enhancing interoperable use of biomedical resources\n \n",
            "communities": [],
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            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/application-of-rdf_8aed/scormcontent/index.html",
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                "biohackaton 2018"
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        {
            "id": 20,
            "name": "Development of a catalog of federated SPARQL queries in the field of Rare Diseases",
            "description": "\n \n\nDevelopment of a catalog of federated SPARQL queries in the field of Rare Diseases\n \n",
            "communities": [],
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            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/development-of-a-catalog_f08f/scormcontent/index.html",
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        },
        {
            "id": 120,
            "name": "Initiation to Galaxy",
            "description": "DNA-sequence analysis: from raw reads to variants calling within the galaxy environement.\n",
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            "doi": null,
            "fileLocation": "http://ecole-bioinfo-aviesan.sb-roscoff.fr/sites/ecole-bioinfo-aviesan.sb-roscoff.fr/files/files/GALAXY-TP-INITIATION-Roscoff-Septembre2015.pdf",
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                "DNA Analysis",
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        {
            "id": 109,
            "name": "RNA-Seq: Differential Expression Analysis",
            "description": "\n \n\nBe careful about experimental design : avoid putting all the\nreplicates in the same lane, using the same barcode for the\nreplicates, putting different number of samples in lanes etc...\nNon- uniformity of the per base read distribution (Illumina Random\nHexamer Priming bias visible on the 13 first bases)\nBias hierarchy : biological condition >> concentration > run/flowcell> lane\nAt equivalent expression level, a long gene will have more reads than a short one.\nNon random coverage along the transcript.\nMultiple hit for some reads alignments.\n \n",
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            "doi": null,
            "fileLocation": "https://ressources.france-bioinformatique.fr/sites/default/files/EBA/V4-2015/RNAseq/billerey-roscoff_expr_diff_tp-vfinal.pdf",
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                "Differential Expression",
                "RNA-seq",
                "Transcriptomics"
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