Handles creating, reading and updating training materials.

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            "name": "OmicsPath: Finding Relevant omics datasets using pathway information",
            "description": "\n \n\nOmicsPath: Finding Relevant omics datasets using pathway information\n \n",
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            "id": 5,
            "name": "Putting structured data into individual entry pages in biological database",
            "description": "\n \n\nPutting structured data into individual entry pages in biological database\n \n",
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            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/putting-structured_bf31/scormcontent/index.html",
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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": 30,
            "name": "Welcome message",
            "description": "Presentation of the workshop (Chairman: Claudine Médigue)\n",
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            "dateCreation": "2016-12-15",
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            "id": 29,
            "name": "Adding bioschemas markup to data repository",
            "description": "\n \n\nAdding bioschemas markup to data repository\n \n",
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            "id": 122,
            "name": "Docker tutorial: Gene regulation",
            "description": "Get started with Docker!\nCreate a Docker account\nInstall Docker on your local host\nCreate shared repositories and download source data\nFetch the Docker image and run it with shared folders\nExecute the pipeline\n\nJVH / Mac\n",
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            "id": 31,
            "name": "Galaxy Docker Training Tutorial",
            "description": "Galaxy docker integration\nEnable Galaxy to use BioContainers (Docker)\nGalaxy with Docker swarm\n",
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            "id": 33,
            "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": 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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            "id": 32,
            "name": "Docker and Galaxy",
            "description": "Questions\nWhy Docker? What is it?\nHow to use Docker?\nHow to integrate Galaxy in Docker to facilitate its deployment?\nObjectives\nDocker basics\nGalaxy Docker image (usage)\nGalaxy Docker (internals)\nGalaxy flavours\n",
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            "doi": null,
            "fileLocation": "http://galaxyproject.github.io/training-material//Admin-Corner/slides/galaxy_docker",
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            "id": 133,
            "name": "Introduction to image analysis using Galaxy",
            "description": "This tutorial covers the questions:\r\n- How do I use Galaxy with imaging data?\r\n- How do I convert images using Galaxy?\r\n- How do I display images in Galaxy?\r\n- How do I filter images in Galaxy?\r\n- How do I segment simple images in Galaxy?\r\n\r\nAt the end of the tutorial, learners would be able to:\r\n- How to handle images in Galaxy.\r\n- How to perform basic image processing in Galaxy.",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/imaging/tutorials/imaging-introduction/tutorial.html",
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            "keywords": [
                "Galaxy"
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                "Graduate",
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                "Professional (continued)"
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            "audienceRoles": [
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                "Life scientists",
                "Biologists"
            ],
            "difficultyLevel": "Novice",
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            "dateUpdate": null,
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            "id": 131,
            "name": "16S Microbial Analysis with mothur",
            "description": "This tutorial covers the questions:\r\n- What is the effect of normal variation in the gut microbiome on host health?\r\n\r\nAt the end of the tutorial, learners would be able to:\r\n- Analyze of 16S rRNA sequencing data using the mothur toolsuite in Galaxy\r\n- Using a mock community to assess the error rate of your sequencing experiment\r\n- Visualize sample diversity using Krona and Phinch",
            "communities": [],
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            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/microbiome/tutorials/mothur-miseq-sop-short/tutorial.html",
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                "Galaxy",
                "Metabarcoding"
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            "id": 134,
            "name": "Nucleoli segmentation and feature extraction using CellProfiler",
            "description": "This tutorial covers the following questions:\r\n- How do I run an image analysis pipeline on public data using CellProfiler?\r\n- How do I analyse the DNA channel of fluorescence siRNA screens?\r\n- How do I download public image data into my history?\r\n- How do I segment and label cell nuclei?\r\n- How do I segment nucleoli (as the absence of DNA)?\r\n- How do I combine nuclei and nucleoli into one segmentation mask?\r\n- How do I extract the background of an image?\r\n- How do I relate the nucleoli to their parent nucleus?\r\n- How do I measure the image and object features?\r\n- How do I measure the image quality?\r\n\r\nAt the end of the tutorial, learners would be able to:\r\n- How to download images from a public image repository.\r\n- How to segment cell nuclei using CellProfiler in Galaxy.\r\n- How to segment cell nucleoli using CellProfiler in Galaxy.\r\n- How to extract features for images, nuclei and nucleoli.",
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            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/imaging/tutorials/tutorial-CP/tutorial.html",
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            "keywords": [
                "Galaxy"
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                "Graduate",
                "Professional (initial)",
                "Professional (continued)"
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                "Life scientists",
                "Biologists"
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        {
            "id": 49,
            "name": "Development in Galaxy",
            "description": "Galaxy is an open-source project. Everyone can contribute to its development with core Galaxy development, integration of softwares in Galaxy environment, ... Here, you will find some materials to learn how to contribute to Galaxy project.\n",
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            "doi": null,
            "fileLocation": "https://github.com/galaxyproject/training-material/tree/master/Dev-Corner",
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                "Galaxy"
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        },
        {
            "id": 37,
            "name": "Connecting Galaxy to a compute cluster",
            "description": "Problems\nRunning jobs on the Galaxy server negatively impacts Galaxy UI performance\nEven adding one other host helps\nCan restart Galaxy without interrupting jobs\nSolution:\nConnecter Galaxy to a computing cluster\n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://igbmc.github.io/egdw2017/day4/admin/05-compute-cluster/index.html",
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                "Cluster"
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            "id": 48,
            "name": "Tool development and integration into Galaxy",
            "description": "Questions:\nWhat is a tool for Galaxy?\nHow to build a tool/wrapper with the good practices?\nHow to deal with the tool environment?\n \nObjectives:\nDiscover what is a wrapper and its structure\nUse the Planemo utilities to develop a good wrapper\nDeal with the dependencies\nWrite functional tests\nMake a tool ready for publishing in a ToolShed\n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://galaxyproject.github.io/training-material/Dev-Corner/slides/tool_integration.html",
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            "dateCreation": "2017-01-16",
            "dateUpdate": null,
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        },
        {
            "id": 47,
            "name": "ToolShed upload and tool-iuc PR",
            "description": "Questions\nWhat is a Tool Shed?\nHow to install tools and workflows from a Tool Shed into a Galaxy instance?\nWhat are the Tool Shed repository types?\nHow to publish with Planemo?\nObjectives\nDiscover what is a Tool Shed\nBe able to install tools and workflows from a Tool Shed into a Galaxy instance\nBe able to publish tools with Planemo\n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://igbmc.github.io/egdw2017/day2/toolshed/index.html",
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            "keywords": [
                "Galaxy"
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            "dateCreation": "2017-01-17",
            "dateUpdate": null,
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            "id": 129,
            "name": "Bacterial Genome Annotation",
            "description": "This tutorial covers the questions:\r\n- Which genes are on a draft bacterial genome?\r\n- Which other genomic components can be found on a draft bacterial genome?\r\n\r\nAt the end of the tutorial, learners would be able to:\r\n- Run a series of tools to annotate a draft bacterial genome for different types of genomic components\r\n- Evaluate the annotation\r\n- Process the outputs to format them for visualization needs\r\n- Visualize a draft bacterial genome and its annotations",
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            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/genome-annotation/tutorials/bacterial-genome-annotation/tutorial.html",
            "fileName": "bacterial-genome-annotation",
            "topics": [
                "http://edamontology.org/topic_3301",
                "http://edamontology.org/topic_0219"
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            "keywords": [
                "Bacterial isolate",
                "Annotation",
                "Galaxy"
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                "Undergraduate",
                "Graduate",
                "Professional (initial)",
                "Professional (continued)"
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            "audienceRoles": [
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                "Life scientists",
                "Biologists"
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            "providedBy": [],
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            "dateUpdate": null,
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        {
            "id": 45,
            "name": "Galaxy Visualisation - Slides",
            "description": "Questions\n\n\n\tHow can visualization plugins benefit science?\n\n\n\nObjectives\n\n\n\tImplement a first Galaxy visualization\n\tUnderstand the client side vs. server side principle\n\n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://galaxyproject.github.io/training-material/Dev-Corner/slides/visualizations.html",
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            "dateCreation": "2017-01-18",
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        {
            "id": 44,
            "name": "Galaxy Visualisation - Tutorial",
            "description": "Visualizations may be very helpful in understanding data better. There is a whole range of visualizations, from rather simple scatter and barplots up to projections of high dimensional data or even entire genomes. Many of these visualizations often require a lot of tweaking and changes in settings like zooming in and assigning colors, etc. Therefore, visualizations are ideally interactive, and changing settings is often an initial step in exploring data. For this reason it may be inconvenient to make use of static galaxy tools because it lacks these interactive features. For these situations Galaxy offers the option to create visualizations plugins, file format specific javascripts that integrate with the history menu, without making redundant copies of data.\nIn this tutorial we shall go through how this system works and create a simple visualization plugin. The tool will create a visualization of the number of aligned reads per chromosome of a BAM file, and we will discuss possible optimizations and advantages and disadvantages of the proposed implementation.\n",
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            "doi": null,
            "fileLocation": "http://galaxyproject.github.io/training-material/Dev-Corner/tutorials/visualizations",
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