Handles creating, reading and updating training materials.

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            "name": "Training on Galaxy : Metagenomics",
            "description": "Find Rapidly OTU with Galaxy Solution\n",
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            "id": 124,
            "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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            "dateCreation": "2016-04-13",
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            "id": 44,
            "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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            "doi": null,
            "fileLocation": "http://galaxyproject.github.io/training-material/Dev-Corner/slides/visualizations.html",
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            "id": 48,
            "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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            "doi": null,
            "fileLocation": "http://galaxyproject.github.io/training-material/Dev-Corner/slides/tool_integration.html",
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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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            "doi": null,
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            "id": 46,
            "name": "BioBlend API",
            "description": "BioBlend module, a python library to use Galaxy API\n",
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            "doi": null,
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            "id": 32,
            "name": "Docker and Galaxy",
            "description": "Questions\nWhy Docker? What is it?\nHow to use Docker?\nHow to integrate Galaxy in Docker to facilitate its deployment?\nObjectives\nDocker basics\nGalaxy Docker image (usage)\nGalaxy Docker (internals)\nGalaxy flavours\n",
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            "doi": null,
            "fileLocation": "http://galaxyproject.github.io/training-material//Admin-Corner/slides/galaxy_docker",
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            "keywords": [
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            "dateCreation": "2017-01-19",
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            "id": 108,
            "name": "RNA-Seq: isoform detection and quantification",
            "description": "transcriptome from new condition\ntissue-speci c transcriptome\ndifferent development stages\ntranscriptome from non model organism\ncancer cell\nRNA maturation mutant\n \nHow to manage RNA-Seq data with genes subjected to di erential\nsplicing?\nIs it possible to discover new isoforms?\nIs it possible to quantify abundance of each isoform\n",
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            "doi": null,
            "fileLocation": "http://ecole-bioinfo-aviesan.sb-roscoff.fr/sites/ecole-bioinfo-aviesan.sb-roscoff.fr/files/files/toffano-TP_RNASeq_Isoform.pdf",
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                "Isoforms",
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                "Transcriptomics"
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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",
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            "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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            "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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            "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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            "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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            "id": 110,
            "name": "DNA-seq analysis: From raw reads to processed alignments",
            "description": "Objectives:\nMapping the DNA-seq data to the reference genome\nProcess the alignments for the variant calling\n",
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            "doi": null,
            "fileLocation": "http://ecole-bioinfo-aviesan.sb-roscoff.fr/sites/ecole-bioinfo-aviesan.sb-roscoff.fr/files/files/elodie_girard-itmo2015_mapping_preprocess.pdf",
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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",
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            "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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            "id": 107,
            "name": "Genomic copy number Analysis",
            "description": "No description available\n",
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            "name": "Chip-seq: Discovering motifs in peaks with RSAT",
            "description": "Read mapping: from raw reads to aligned reads.\nPeak calling: from aligned reads to regions/peaks of high read density.\nChIP-seq annotation\nIdentification of genes related to the peaks.\nProfiles of ChIP-seq reads around reference points (TSS, histone marks,).\nFunctional enrichment of the genes related to the peaks.\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/ChIP-seq_motifs_EBA2015_JvH.pdf",
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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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            "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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            "name": "Chip-seq: Functional Annotation tutorial",
            "description": "Global Objective\nGiven a set of ChIP-seq peaks annotate them in order to find associated genes, genomic categories and functional terms.\n",
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            "id": 113,
            "name": "Chip Seq: Annotation and visualization Tutorial",
            "description": "Global Objective\nGiven a set of ChIP-seq peaks annotate them in order to find associated genes, genomic categories and functional terms.\n",
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