Handles creating, reading and updating training materials.

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            "name": "Processing_large_files_with_sed_awk_2024",
            "description": "This “Sed and AWK to modify large text files” training session is organized by the Genotoul bioinfo platform.\r\n\r\nThe Linux sed command is a powerful and very fast text editor without an interface. Sed can select, substitute, add, delete, and modify text in files and streams. Sed relies heavily on regular expressions for pattern matching and text selection. We’ll manipulate regexes and the sed command to modify and filter several type of file often used in bioinformatics.\r\n\r\nAWK enables to easily process columns in large text files but is also a quite powerfull programming language. This training session aims at introducing you AWK principles. You will learn about variables, operators and functions useful to manipulate very large files. \r\n\r\nFor example you can use AWK to generate your unix command lines to be launched on the cluster. AWK enables to process millions of lines in text files. The course includes short feature presentations between long hands-on sessions in which you will be able to understand the global ideas as well as details.",
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            "description": "Installation and configuration of NGiNX for Galaxy\n",
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            "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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            "name": "Galactic Database",
            "description": "How to choose a database for Galaxy and configure it\n",
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            "name": "Galaxy Configuration Hierarchy",
            "description": "How to configure your local instance of Galaxy\n",
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            "name": "Galaxy Installation",
            "description": "How to install a local instance of Galaxy\n",
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            "id": 43,
            "name": "Galaxy Interactive Tour",
            "description": "Questions\nWhat is a Galaxy Interactive Tour?\nHow to create a Galaxy Interactive Tour?\nObjectives\nDiscover what is a Galaxy Interactive Tour\nBe able to create a Galaxy Interactive Tour\nBe able to add a Galaxy Interactive Tour in a Galaxy instance\n",
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            "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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            "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",
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            "name": "BioBlend API",
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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",
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            "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",
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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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            "name": "Welcome and Introduction",
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            "id": 51,
            "name": "Eukaryotic small RNA",
            "description": "\n \n\nSmall RNAseq data analysis for miRNA identification\n \n",
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            "name": "Statistics with RStudio",
            "description": "Introduction to statistics with R\n",
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            "name": "Transcriptome de novo assembly",
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            "id": 55,
            "name": "x2Go",
            "description": "Opening an x2go session to the IFBcloud\n",
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            "name": "RADSeq Data Analysis",
            "description": "Introduction to RADSeq through STACKS on Galaxy\n",
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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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            "fileLocation": "https://training.galaxyproject.org/training-material/topics/imaging/tutorials/tutorial-CP/tutorial.html",
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