Handles creating, reading and updating training materials.

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            "id": 88,
            "name": "From Samples to Data : Assuring Downstream Analysis with Upstream Planning",
            "description": "Metagenomic studies have gained increasing popularity in the years since the introduction of next generation sequencing. NGS allows for the production of millions of reads for each sample without the intermediate step of cloning. However, just as in the past, the quality of the data generate by this powerful technology depends on sample preparation, library construction and the selection of appropriate sequencing technology and sequencing depth. Here we explore the different variables involved in the process of preparing samples for sequencing analysis including sample collection, DNA extraction and library construction. We also examine the various sequencing technologies deployed for routine metagenomic analysis and considerations for their use in different model systems including humans, mouse and the environment. Future developments such as long-reads will also be discussed to provide a complete picture of important aspects prior to data analyses which play a critical role in the success of metagenomic studies.\n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/videos/scorms/metagenomics16/session_1/From_Samples_to_Data_Assuring_Downstream_Analysis_with_Upstream_Planning/scormcontent/index.html",
            "fileName": "missing.txt",
            "topics": [],
            "keywords": [
                "Metagenomics"
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            "dateCreation": null,
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            "licence": "CC BY-NC-ND",
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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",
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            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/microbiome/tutorials/taxonomic-profiling/tutorial.html",
            "fileName": "taxonomic-profiling",
            "topics": [
                "http://edamontology.org/topic_3697",
                "http://edamontology.org/topic_3174",
                "http://edamontology.org/topic_0637"
            ],
            "keywords": [
                "Galaxy"
            ],
            "audienceTypes": [
                "Undergraduate",
                "Graduate",
                "Professional (initial)",
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            ],
            "audienceRoles": [
                "Researchers",
                "Life scientists",
                "Biologists"
            ],
            "difficultyLevel": "Novice",
            "providedBy": [],
            "dateCreation": null,
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            "id": 144,
            "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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            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/transcriptomics/tutorials/ref-based/tutorial.html",
            "fileName": "rna-seq",
            "topics": [
                "http://edamontology.org/topic_0102",
                "http://edamontology.org/topic_1775",
                "http://edamontology.org/topic_0203",
                "http://edamontology.org/topic_3308",
                "http://edamontology.org/topic_3170"
            ],
            "keywords": [
                "Galaxy",
                "RNA-seq"
            ],
            "audienceTypes": [
                "Undergraduate",
                "Graduate",
                "Professional (initial)",
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Researchers",
                "Life scientists",
                "Biologists"
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            "difficultyLevel": "Novice",
            "providedBy": [],
            "dateCreation": null,
            "dateUpdate": null,
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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",
            "fileName": "missing.txt",
            "topics": [],
            "keywords": [
                "biohackaton 2018"
            ],
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "providedBy": [],
            "dateCreation": "2019-03-21",
            "dateUpdate": null,
            "licence": null,
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