Handles creating, reading and updating training materials.

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            "name": "New perspectives on nitrite-oxidizing bacteria - linking genomes to physiology",
            "description": "It is a generally accepted characteristic of the biogeochemical nitrogen cycle that nitrification is catalyzed by two distinct clades of microorganisms. First, ammonia-oxidizing bacteria and archaea convert ammonia to nitrite, which subsequently is oxidized to nitrate by nitrite-oxidizing bacteria (NOB). The latter were traditionally perceived as physiologically restricted organisms and were less intensively studied than other nitrogen-cycling microorganisms. This picture is contrasted by new discoveries of an unexpected high diversity of mostly uncultured NOB and a great physiological versatility, which includes complex microbe-microbe interactions and lifestyles outside the nitrogen cycle. Most surprisingly, close relatives to NOB perform complete nitrification (ammonia oxidation to nitrate), a process that had been postulated to occur under conditions selecting for low growth rates but high growth yields.\nThe existence of Nitrospira species that encode all genes required for ammonia and nitrite oxidation was first detected by metagenomic analyses of an enrichment culture for nitrogen-transforming microorganisms sampled from the anoxic compartment of a recirculating aquaculture system biofilter. Batch incubations and FISH-MAR experiments showed that these Nitrospira indeed formed nitrate from the aerobic oxidation of ammonia, and used the energy derived from complete nitrification for carbon fixation, thus proving that they indeed represented the long-sought-after comammox organisms. Their ammonia monooxygenase (AMO) enzymes were distinct from canonical AMOs, therefore rendering recent horizontal gene transfer from known ammonia-oxidizing microorganisms unlikely. Instead, their AMO displayed highest similarities to the “unusual” particulate methane monooxygenase from Crenothrix polyspora, thus shedding new light onto the function of this sequence group. This recognition of a novel AMO type indicates that a whole group of ammonia-oxidizing microorganisms has been overlooked, and will improve our understanding of the environmental abundance and distribution of this functional group. Data mining of publicly available metagenomes already indicated a widespread occurrence in natural and engineered environments like aquifers and paddy soils, and drinking and wastewater treatment systems.\n",
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            "name": "Third generation sequencing :  the revolution of long reads",
            "description": "Introduction on sequencing: available technologies, library types, applications ...\n",
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            "name": "Chip-seq: Peak calling tutorial",
            "description": "The aim is to :\nUnderstand how to process reads to obtain peaks (peak-calling).\nBecome familiar with differential analysis of peaks\nIn practice :\nObtain dataset from GEO\nAnalyze mapped reads\nObtain set(s) of peaks, handle replicates\nDifferential analysis of peak\n",
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            "id": 65,
            "name": "Chip-seq Analysis",
            "description": "Quality, normalisation and peak calling\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": 115,
            "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": 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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            "id": 65,
            "name": "Chip-seq Analysis",
            "description": "Quality, normalisation and peak calling\n",
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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",
            "communities": [],
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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": 59,
            "name": "Variant annotation",
            "description": "Add meta-information on variant to facilitate interpretation\n",
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            "doi": null,
            "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/V06_variants_annotation.pdf",
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            "keywords": [
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            "dateCreation": "2016-11-23",
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            "id": 56,
            "name": "RADSeq Data Analysis",
            "description": "Introduction to RADSeq through STACKS on Galaxy\n",
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            "doi": null,
            "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/V08_Yvan%20Le%20Bras%20-%20Training%20RADSeq_0.pdf",
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            "dateCreation": "2016-11-23",
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            "id": 45,
            "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",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://galaxyproject.github.io/training-material/Dev-Corner/slides/visualizations.html",
            "fileName": "missing.txt",
            "topics": [],
            "keywords": [
                "Galaxy"
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            "audienceTypes": [],
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            "dateCreation": "2017-01-18",
            "dateUpdate": null,
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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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            "doi": null,
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            "dateCreation": "2017-01-18",
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        {
            "id": 45,
            "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",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://galaxyproject.github.io/training-material/Dev-Corner/slides/visualizations.html",
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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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            "elixirPlatforms": [],
            "doi": null,
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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",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://galaxyproject.github.io/training-material/Dev-Corner/slides/tool_integration.html",
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            "dateCreation": "2017-01-16",
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        {
            "id": 47,
            "name": "ToolShed upload and tool-iuc PR",
            "description": "Questions\nWhat is a Tool Shed?\nHow to install tools and workflows from a Tool Shed into a Galaxy instance?\nWhat are the Tool Shed repository types?\nHow to publish with Planemo?\nObjectives\nDiscover what is a Tool Shed\nBe able to install tools and workflows from a Tool Shed into a Galaxy instance\nBe able to publish tools with Planemo\n",
            "communities": [],
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            "doi": null,
            "fileLocation": "https://igbmc.github.io/egdw2017/day2/toolshed/index.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,
            "fileLocation": "http://galaxyproject.github.io/training-material/Dev-Corner/slides/interactive_tour.html",
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