Handles creating, reading and updating training materials.

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            "name": "Chip-seq: Pattern Analysis tutorial",
            "description": "Goal\nThe aim is to :\nGet familiar with motif analysis of ChIP-seq data.\nLearn de novo motif discovery methods.\nIn practice :\nMotif discovery with peak-motifs\nDifferential analysis\nRandom controls\n",
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            "id": 92,
            "name": "HOVERGEN tutorial",
            "description": "HOVERGEN is a database containing homologous vertebrate protein and nucleotide sequences. It allows to easily select similar gene sequences from a wide range of vertebrates. Hence it becomes particularly useful in comparative genomics, phylogeny and evolutionary studies on a molecular level. HOVERGEN Clean contains only complete sequences which reattach to their family. Hence its library is smaller, but more reliable.\n",
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            "id": 93,
            "name": "Cross Taxa Tutorial",
            "description": "How query databases according to complex taxonomic critera\nCross-Taxa allows to retrieve gene families that are shared by a given set of taxa, or which are specific to a set of taxa. It is also possible to select genes families which are associated to a certain set of taxa but which are not found in a second set of taxa. Any taxonomic level can be used.\n",
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            "id": 114,
            "name": "Chip Seq: Annotation and visualization Lesson",
            "description": "How to add biological meaning to peaks\n",
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            "id": 40,
            "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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            "id": 34,
            "name": "Users, Groups, and Quotas in Galaxy",
            "description": "How to handle Users, Groups, and Quotas in Galaxy\n",
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            "id": 42,
            "name": "Galaxy Installation",
            "description": "How to install a local instance of Galaxy\n",
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            "id": 36,
            "name": "Galaxy Administration",
            "description": "How to use the administation panel of Galaxy\n",
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        {
            "id": 105,
            "name": "Exploring Microscope Platform",
            "description": "\n \n\nHow to use the Microscope Platform to annotate and analyze microbial genomes.\n \n",
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            "dateCreation": "2016-03-01",
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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": [],
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            "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": [],
            "keywords": [
                "biohackaton 2018"
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            "dateCreation": "2019-03-21",
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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": [],
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            "doi": null,
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        {
            "id": 11,
            "name": "Improve Shiny and RStudio integration within Galaxy using Galaxy Interactive Environment",
            "description": "\n \n\nImprove Shiny and RStudio integration within Galaxy using Galaxy Interactive Environment\n \n",
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            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/improve-shiny-and-rstudio_fcd3/scormcontent/index.html",
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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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            "keywords": [
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            "dateCreation": "2016-12-15",
            "dateUpdate": null,
            "licence": "CC BY-NC-ND",
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            "id": 38,
            "name": "(Proxy) Web Server Choices and Configuration",
            "description": "Installation and configuration of NGiNX for Galaxy\n",
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            "doi": null,
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        {
            "id": 112,
            "name": "Chip-seq: Motif Analysis Tutorial",
            "description": "Introduction\nGoal\nThe aim is to :\nGet familiar with motif analysis of ChIP-seq data.\nLearn de novo motif discovery methods.\nIn practice :\nMotif discovery with peak-motifs\nDifferential analysis\nRandom controls\n",
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            "fileLocation": "http://dputhier.github.io/EBA_2015_ChIP-Seq/tutorial/04_motif/motif_tutorial.html",
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        },
        {
            "id": 50,
            "name": "Welcome and Introduction",
            "description": "\n \n\nIntroduction message of the EGDW 2017\n \n",
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            "fileLocation": "https://ressources.france-bioinformatique.fr/sites/default/files/introduction.pdf",
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            "dateCreation": "2017-01-16",
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        {
            "id": 68,
            "name": "Third generation sequencing :  the revolution of long reads",
            "description": "Introduction on sequencing: available technologies, library types, applications ...\n",
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            "doi": null,
            "fileLocation": "https://www.france-bioinformatique.fr/sites/default/files/I02_Thermes_ROSCOFF5.pdf",
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                "genomics"
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            "dateCreation": "2016-11-21",
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