Handles creating, reading and updating training materials.

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            "name": "Metatranscriptomics analysis using microbiome RNA-seq data",
            "description": "This tutorial covers the questions:\r\n- How to analyze metatranscriptomics data?\r\n- What information can be extracted of metatranscriptomics data?\r\n- How to assign taxa and function to the identified sequences?\r\n\r\nAt the end of the tutorial, learners would be able to:\r\n- Choose the best approach to analyze metatranscriptomics data\r\n- Understand the functional microbiome characterization using metatranscriptomic results\r\n- Understand where metatranscriptomics fits in ‘multi-omic’ analysis of microbiomes\r\n- Visualise a community structure",
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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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            "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.",
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            "fileLocation": "https://training.galaxyproject.org/training-material/topics/imaging/tutorials/imaging-introduction/tutorial.html",
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            "id": 145,
            "name": "Introduction to Transcriptomics",
            "description": "This slidedecks presents the concepts behind transcriptomics",
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            "keywords": [
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            "id": 127,
            "name": "Quality Control with Galaxy",
            "description": "This tutorial covers the questions:\r\n- How to perform quality control of NGS raw data?\r\n- What are the quality parameters to check for a dataset?\r\n- How to improve the quality of a dataset?\r\n\r\nAt the end of the tutorial, learners would be able to:\r\n- Assess short reads FASTQ quality using FASTQE 🧬😎 and FastQC\r\n- Assess long reads FASTQ quality using Nanoplot and PycoQC\r\n- Perform quality correction with Cutadapt (short reads)\r\n-  Summarise quality metrics MultiQC\r\n- Process single-end and paired-end data",
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            "name": "Reference-based RNA-Seq data analysis with Galaxy",
            "description": "This tutorial covers the questions:\r\n- What are the steps to process RNA-Seq data?\r\n- How to identify differentially expressed genes across multiple experimental conditions?\r\n- What are the biological functions impacted by the differential expression of genes?\r\n\r\nAt the end of the tutorial, learners would be able to:\r\n- Check a sequence quality report generated by FastQC for RNA-Seq data\r\n- Explain the principle and specificity of mapping of RNA-Seq data to an eukaryotic reference genome\r\n- Select and run a state of the art mapping tool for RNA-Seq data\r\n- Evaluate the quality of mapping results\r\n- Describe the process to estimate the library strandness\r\n- Estimate the number of reads per genes\r\n- Explain the count normalization to perform before sample comparison\r\n- Construct and run a differential gene expression analysis\r\n- Analyze the DESeq2 output to identify, annotate and visualize differentially expressed genes\r\n- Perform a gene ontology enrichment analysis\r\n- Perform and visualize an enrichment analysis for KEGG pathways",
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            "id": 128,
            "name": "Mapping with Galaxy",
            "description": "This tutorial covers the questions:\r\n- What is mapping?\r\n- What two things are crucial for a correct mapping?\r\n- What is BAM?\r\n\r\nAt the end of the tutorial, learners would be able to:\r\n- Define what mapping is\r\n- Perform mapping of reads on a reference genome\r\n- Evaluate the mapping output",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
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                "Graduate",
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        },
        {
            "id": 130,
            "name": "Taxonomic Profiling and Visualization of Metagenomic Data",
            "description": "This tutorial covers the questions:\r\n- Which species (or genera, families, …) are present in my sample?\r\n- What are the different approaches and tools to get the community profile of my sample?\r\n- How can we visualize and compare community profiles?\r\n\r\nAt the end of the tutorial, learners would be able to:\r\n- Explain what taxonomic assignment is\r\n- Explain how taxonomic assignment works\r\n- Apply Kraken and MetaPhlAn to assign taxonomic labels\r\n- Apply Krona and Pavian to visualize results of assignment and understand the output\r\n- Identify taxonomic classification tool that fits best depending on their data",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/microbiome/tutorials/taxonomic-profiling/tutorial.html",
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            ],
            "keywords": [
                "Galaxy"
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                "Professional (continued)"
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            "id": 126,
            "name": "Galaxy 101 for everyone",
            "description": "This practical aims at familiarizing you with the Galaxy user interface. It will teach you how to perform basic tasks such as importing data, running tools, working with histories, creating workflows and sharing your work. Not everyone has the same background and that’s ok!",
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        },
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            "id": 13,
            "name": "Import workflows into TeSS Concept Maps",
            "description": "\n \n\nImport workflows into TeSS Concept Maps\n \n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/import-workflows-into-tess_4062/scormcontent/index.html",
            "fileName": "missing.txt",
            "topics": [],
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        },
        {
            "id": 12,
            "name": "Improve Orphanet disease description knowledge by phenotypic automated recognition using scrapping toolkits",
            "description": "\n \n\nImprove Orphanet disease description knowledge by phenotypic automated recognition using scrapping toolkits\n \n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/improve-orphanet_8da2/scormcontent/index.html",
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        },
        {
            "id": 10,
            "name": "JSON schema validation with ontologies",
            "description": "\n \n\nJSON schema validation with ontologies\n \n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/json-schema-validation_deb6/scormcontent/index.html",
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        },
        {
            "id": 9,
            "name": "OmicsPath: Finding Relevant omics datasets using pathway information",
            "description": "\n \n\nOmicsPath: Finding Relevant omics datasets using pathway information\n \n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/omicspath-finding_b649/scormcontent/index.html",
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        },
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            "id": 8,
            "name": "Pathway effect prediction for protein targets",
            "description": "\n \n\nPathway effect prediction for protein targets\n \n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/pathway-effect_b1e2/scormcontent/index.html",
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            "id": 7,
            "name": "Prototyping the new PSICQUIC 2-0",
            "description": "\n \n\nPrototyping the new PSICQUIC 2.0\n \n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/prototyping_353b/scormcontent/index.html",
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        },
        {
            "id": 6,
            "name": "ProtVista (protein annotation viewer) extension using Bioschemas data",
            "description": "\n \n\nProtVista (protein annotation viewer) extension using Bioschemas data\n \n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/protvista-protein_2cd8/scormcontent/index.html",
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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",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/putting-structured_bf31/scormcontent/index.html",
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        },
        {
            "id": 4,
            "name": "Support tools for rapid adoption of compact identifiers in the publishing process",
            "description": "\n \n\nSupport tools for rapid adoption of compact identifiers in the publishing process\n \n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/support-tools_78a0/scormcontent/index.html",
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        },
        {
            "id": 3,
            "name": "Transfer of Research Assets between FAIRDOM SEEKs",
            "description": "\n \n\nTransfer of Research Assets between FAIRDOM SEEKs\n \n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/transfer-of-research_9014/scormcontent/index.html",
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        },
        {
            "id": 2,
            "name": "Using blockchain in biomedical provenance, the identifiers use case",
            "description": "\n \n\nUsing blockchain in biomedical provenance, the identifiers use case\n \n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/using-blockchain_039d/scormcontent/index.html",
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