Handles creating, reading and updating training materials.

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            "name": "Snakemake tutorial: Gene regulation",
            "description": "Workflow 1: Rules and targets\nWorkflow 2: Introducing wildcards\nWorkflow 3: Keywords\nWorkflow 4: Combining rules\nWorkflow 5: Configuration file\nWorkflow 6: Separated files\n",
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            "doi": null,
            "fileLocation": "http://gene-regulation.readthedocs.io/en/latest/snakemake.html",
            "fileName": "missing.txt",
            "topics": [],
            "keywords": [
                "Gene regulation",
                "Snakemake"
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            "dateCreation": "2016-04-13",
            "dateUpdate": null,
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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",
            "communities": [],
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            "doi": null,
            "fileLocation": "http://galaxyproject.github.io/training-material/Dev-Corner/slides/interactive_tour.html",
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            "keywords": [
                "Galaxy"
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            "dateCreation": "2017-01-18",
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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": [],
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            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/transfer-of-research_9014/scormcontent/index.html",
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            "topics": [],
            "keywords": [
                "biohackaton 2018"
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            "dateCreation": "2019-03-21",
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            "id": 61,
            "name": "Differential gene expression analysis : Practical part",
            "description": "RNA-seq: Differential gene expression analysis practical session\n",
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            "doi": null,
            "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/R01b_EBA2016_TP_RNA-seq.pdf",
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            "keywords": [
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                "RNA-seq"
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            "dateCreation": "2016-11-22",
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            "id": 87,
            "name": "Deciphering the human intestinal tract microbiome using metagenomic computational methods",
            "description": "In 2010, the MetaHIT consortium published a 3.3M microbiota gene catalog generated by whole genome shotgun metagenomic sequencing, representing a mixture of bacteria, archaea, parasites and viruses coming from 124 human stool metagenomic samples [Qin et al, Nature 2010].\nHowever most of the genes were fragmented, taxonomically and functionally unknown, making it difficult to define and select biomarkers of interest for genome-wide association studies.\nSince that, this human gene catalog was improved multiple times, with the last update by [Li et al, Nature Biotechnology, 2014], which generated a 10M gene catalog using more than 1000 metagenomic samples and including some prevalent human microbe genome available at that time. Along with the catalog update, the scientific community developed new tools to challenge the complexity of this dataset and provided new ways to assemble, annotate, quantify and classify the genes coming from these catalogs.\nIn this talk we will discuss the main approaches related to the computational treatment of the different gene catalog other the time, illustrated by the different papers that deciphered step by step the hidden information of our microbiota and his link with our health.\n",
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            "doi": null,
            "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/videos/scorms/metagenomics16/session_1/Deciphering_the_human_intestinal_tract_microbiome_using_metagenomic_computational_methods/scormcontent/index.html",
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            "topics": [],
            "keywords": [
                "Metagenomics"
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            "dateCreation": "2016-12-15",
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            "licence": "CC BY-NC-ND",
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            "id": 14,
            "name": "Galaxy training material improvement and extension",
            "description": "\n \n\nGalaxy training material improvement and extension\n \n",
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            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/galaxy-training-material_6300/scormcontent/index.html",
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        },
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            "id": 121,
            "name": "The IFB cloud for bioinformatics",
            "description": "\n\tPractical work to introduce basic and advanced usage of the IFB cloud\nHowto launch virtual machines\nManaging your data in the cloud ;\nHowto to connect to your VMS (SSH, web, remote desktop)\nPersonalizing your VMs (approver, galaxy, docker)\n\n",
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            "doi": null,
            "fileLocation": "https://github.com/ekorpela/cloud-vm-workshop/blob/master/materials/IFBcloud/IFB%20cloud%20training%20ELIX-FI.pdf",
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            "keywords": [
                "Cloud Computing",
                "Virtual machine"
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            "id": 35,
            "name": "Defining and importing genomes, Data Managers into Galaxy",
            "description": "Intro to built in datasets\nBuilt in data hierarchy\nSome problems\nData Managers\n",
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            "doi": null,
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            "id": 63,
            "name": "Variant Filtering",
            "description": "Use cases:\nExtact a subset of variants\nCombine variants from several analysis\n\nCompare obtained variants from several data types\n\n\nIdentify new variants compare to a reference list\n\n\nApply specific filters for Chip Design\n\n",
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            "doi": null,
            "fileLocation": "http://ecole-bioinfo-aviesan.sb-roscoff.fr/sites/ecole-bioinfo-aviesan.sb-roscoff.fr/files/files/FiltrageVariantNLapaluRoscoff2015.pdf",
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                "Variant calling",
                "NGS"
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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,
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            "topics": [],
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            "dateCreation": "2019-03-21",
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        {
            "id": 118,
            "name": "Chip-seq: Introduction to the Workshop",
            "description": "Data visualization, quality control, normalization & peak calling\nPeak annotation\nFrom peaks to motifs\n",
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            "doi": null,
            "fileLocation": "http://dputhier.github.io/EBA_2015_ChIP-Seq/slides/chipseq_CarlHerrmann_Roscoff2015.pdf",
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            "topics": [],
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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",
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            "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",
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            "dateCreation": null,
            "dateUpdate": null,
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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": [],
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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"
            ],
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                "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": 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",
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                "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)"
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            "audienceRoles": [
                "Researchers",
                "Life scientists",
                "Biologists"
            ],
            "difficultyLevel": "Novice",
            "providedBy": [],
            "dateCreation": null,
            "dateUpdate": null,
            "licence": "CC-BY-4.0",
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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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            "topics": [],
            "keywords": [
                "biohackaton 2018"
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            "dateCreation": "2019-03-21",
            "dateUpdate": null,
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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",
            "communities": [],
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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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                "Structural genomics",
                "Copy number"
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            "dateCreation": null,
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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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            "elixirPlatforms": [],
            "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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            "topics": [],
            "keywords": [
                "DNA Analysis",
                "Variant calling",
                "Galaxy"
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            "dateCreation": null,
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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",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://ecole-bioinfo-aviesan.sb-roscoff.fr/sites/ecole-bioinfo-aviesan.sb-roscoff.fr/files/files/IGV-Roscoff-Septembre2015.pdf",
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            "keywords": [
                "genomics",
                "Data visualization",
                "NGS"
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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",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://urgi.versailles.inra.fr/Tools/REPET/TEdenovo-tuto",
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            "topics": [],
            "keywords": [
                "genomics",
                "Annotation"
            ],
            "audienceTypes": [],
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            "dateCreation": null,
            "dateUpdate": null,
            "licence": "CeCILL",
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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": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/development-of-a-catalog_f08f/scormcontent/index.html",
            "fileName": "missing.txt",
            "topics": [],
            "keywords": [
                "biohackaton 2018"
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            "dateCreation": "2019-03-21",
            "dateUpdate": null,
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