Handles creating, reading and updating training materials.

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            "id": 31,
            "name": "Galaxy Docker Training Tutorial",
            "description": "Galaxy docker integration\nEnable Galaxy to use BioContainers (Docker)\nGalaxy with Docker swarm\n",
            "communities": [],
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            "doi": null,
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            "id": 145,
            "name": "Introduction to Transcriptomics",
            "description": "This slidedecks presents the concepts behind transcriptomics",
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            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/transcriptomics/tutorials/introduction/slides.html",
            "fileName": "transcriptomics-introduction",
            "topics": [
                "http://edamontology.org/topic_0203",
                "http://edamontology.org/topic_3308",
                "http://edamontology.org/topic_3170"
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                "RNA-seq",
                "Transcriptomics (RNA-seq)"
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                "Professional (continued)"
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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",
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            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/development-of-a-catalog_f08f/scormcontent/index.html",
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                "biohackaton 2018"
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            "id": 71,
            "name": "Holistic metagenomics in marine communities",
            "description": "Complex microscopic communities are composed of species belonging to all life realms, from single-cell prokaryotes to multicellular eukaryotes of small size. Each component of a community needs to be studied for a full understanding of the functions performed by the whole assemblage, however methods to investigate microbiomes are generally restricted to a single kingdom. Using examples from the Tara Oceans project, we will show how size fractionation and use of varied metabarcoding, metagenomics and metatranscriptomics approaches can help studying the marine plankton community as a whole, in a wide geographic space.\n",
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            "doi": null,
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            "dateCreation": "2016-12-16",
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            "id": 2,
            "name": "Using blockchain in biomedical provenance, the identifiers use case",
            "description": "\n \n\nUsing blockchain in biomedical provenance, the identifiers use case\n \n",
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            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/using-blockchain_039d/scormcontent/index.html",
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            "topics": [],
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                "biohackaton 2018"
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            "id": 72,
            "name": "Hidden in the permafrost",
            "description": "The last decade witnessed the discovery of four families of giant viruses infecting Acanthamoeba. They have genome encoding from 500 to 2000 genes, a large fraction of which encoding proteins of unknown origin. These unique proteins meant to recognize and manipulate the same building blocks as cells raise the question on their origin as well as the role viruses played in the cellular word evolution. The Mimiviridae and the Pandoraviridae are increasingly populated by members from very diverse habitats and are ubiquitous on the planet. After prospecting the space, we went back in the past and isolated two other giant virus families from a 30,000 years old permafrost sample, Pithovirus and Mollivirus sibericum. A metagenomics study of the sample was performed to inventory its biodiversity and assess to what extend the host and the viruses were dominant. I will describe the two sequencing approaches which have been used and compare the results.\n1: Raoult D, Audic S, Robert C, Abergel C, Renesto P, Ogata H, La Scola B, Suzan M, Claverie JM. The 1.2-megabase genome sequence of Mimivirus. Science. 2004 Nov 19;306(5700):1344-50.\n2: Philippe N, Legendre M, Doutre G, Couté Y, Poirot O, Lescot M, Arslan D, Seltzer V, Bertaux L, Bruley C, Garin J, Claverie JM, Abergel C. Pandoraviruses: amoeba viruses with genomes up to 2.5 Mb reaching that of parasitic eukaryotes. Science. 2013 Jul 19;341(6143):281-6. \n3: Legendre M, Bartoli J, Shmakova L, Jeudy S, Labadie K, Adrait A, Lescot M, Poirot O, Bertaux L, Bruley C, Couté Y, Rivkina E, Abergel C, Claverie JM. Thirty-thousand-year-old distant relative of giant icosahedral DNA viruses with a pandoravirus morphology. Proc Natl Acad Sci U S A. 2014 Mar 18;111(11):4274-9.\n4: Legendre M, Lartigue A, Bertaux L, Jeudy S, Bartoli J, Lescot M, Alempic JM, Ramus C, Bruley C, Labadie K, Shmakova L, Rivkina E, Couté Y, Abergel C, Claverie JM. In-depth study of Mollivirus sibericum, a new 30,000-y-old giant virus infecting Acanthamoeba. Proc Natl Acad Sci U S A. 2015 Sep 22;112(38):E5327-35.\n",
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            "id": 57,
            "name": "DNA - seq Bioinformatics Analysis",
            "description": "Detection of Copy Number Variations\n \n",
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            "doi": null,
            "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/V07_ITMO_2016_EG_CNV.pdf",
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                "DNA-seq"
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            "dateCreation": "2016-11-23",
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        },
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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,
            "fileLocation": "http://galaxyproject.github.io/training-material/Dev-Corner/slides/bioblend_api.html",
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            "topics": [],
            "keywords": [
                "Galaxy",
                "Python",
                "API"
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            "dateCreation": "2017-01-18",
            "dateUpdate": null,
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                "https://catalogue.france-bioinformatique.fr/api/userprofile/414/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/563/?format=api"
            ]
        },
        {
            "id": 109,
            "name": "RNA-Seq: Differential Expression Analysis",
            "description": "\n \n\nBe careful about experimental design : avoid putting all the\nreplicates in the same lane, using the same barcode for the\nreplicates, putting different number of samples in lanes etc...\nNon- uniformity of the per base read distribution (Illumina Random\nHexamer Priming bias visible on the 13 first bases)\nBias hierarchy : biological condition >> concentration > run/flowcell> lane\nAt equivalent expression level, a long gene will have more reads than a short one.\nNon random coverage along the transcript.\nMultiple hit for some reads alignments.\n \n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://ressources.france-bioinformatique.fr/sites/default/files/EBA/V4-2015/RNAseq/billerey-roscoff_expr_diff_tp-vfinal.pdf",
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            "topics": [],
            "keywords": [
                "Differential Expression",
                "RNA-seq",
                "Transcriptomics"
            ],
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                "https://catalogue.france-bioinformatique.fr/api/userprofile/55/?format=api"
            ]
        },
        {
            "id": 15,
            "name": "From Biotea to Bioschemas: definition of profiles required to represent scholarly publications",
            "description": "\n \n\nFrom Biotea to Bioschemas: definition of profiles required to represent scholarly publications\n \n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/from-biotea-to-bioschemas_28f9/scormcontent/index.html",
            "fileName": "missing.txt",
            "topics": [],
            "keywords": [
                "biohackaton 2018"
            ],
            "audienceTypes": [],
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            "dateCreation": "2019-03-21",
            "dateUpdate": null,
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                "https://catalogue.france-bioinformatique.fr/api/userprofile/678/?format=api"
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        },
        {
            "id": 33,
            "name": "Docker for Beginners",
            "description": "What is Docker?\nBuilding an image\nBioShadock & Orchestration\n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://vdda.github.io/revealJS_test/docker_intro2.html",
            "fileName": "missing.txt",
            "topics": [],
            "keywords": [
                "Docker"
            ],
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            "dateCreation": "2017-01-19",
            "dateUpdate": null,
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        },
        {
            "id": 73,
            "name": "200 billion sequences and counting: analysis, discovery and exploration of datasets with EBI Metagenomics",
            "description": "EBI metagenomics (EMG, https://www.ebi.ac.uk/metagenomics/) is a freely available hub for the analysis and exploration of metagenomic, metatranscriptomic, amplicon and assembly data. The resource provides rich functional and taxonomic analyses of user-submitted sequences, as well as analysis of publicly available metagenomic datasets held within the European Nucleotide Archive (ENA). EMG has recently undergone rapid expansion, with an over 10-fold increase in data volumes in the first 5 months of 2016. It now houses ~ 50k publicly available data sets, and represents one of the largest collections of analysed metagenomic data. As its data content has grown, EMG has increasingly become a platform for data discovery. To support this process, we have made a series of user-interface improvements, including the classification of projects by biome, presentation of results data for better visualisation and more convenient download, and provision of project level summary files. More recently, we have indexed project metadata for use with the EBI search engine, enabling exploration across different datasets. For example, users are able to search with a particular taxonomic lineage or protein function and discover the projects, samples and sequencing runs in which that lineage or function is found. This functionality allows users to explore associations between biomes, environmental conditions and organisms and functions (e.g., discovering protein coding sequences that correspond to certain enzyme families found in aquatic environments at a given temperature range). Here, we give an overview of the EMG data analysis pipeline and web site, and illustrate the use of the new search facility for data discovery.\n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/videos/scorms/metagenomics16/session_7/200_billions_sequences_and_counting_discovery_and_exploration_of_datasets_with_EBI_metagenomics/scormcontent/index.html",
            "fileName": "missing.txt",
            "topics": [],
            "keywords": [
                "Metagenomics"
            ],
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "providedBy": [],
            "dateCreation": "2016-12-16",
            "dateUpdate": null,
            "licence": "CC BY-NC-ND",
            "maintainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/704/?format=api"
            ]
        },
        {
            "id": 56,
            "name": "RADSeq Data Analysis",
            "description": "Introduction to RADSeq through STACKS on Galaxy\n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://www.france-bioinformatique.fr/sites/default/files/V08_Yvan%20Le%20Bras%20-%20Training%20RADSeq_0.pdf",
            "fileName": "missing.txt",
            "topics": [],
            "keywords": [
                "NGS"
            ],
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            "dateCreation": "2016-11-23",
            "dateUpdate": null,
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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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            "doi": null,
            "fileLocation": "https://igbmc.github.io/egdw2017/day4/admin/02-database/index.html",
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            "topics": [],
            "keywords": [
                "Galaxy"
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            "dateCreation": "2017-01-19",
            "dateUpdate": null,
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        },
        {
            "id": 89,
            "name": "Docker Tutorial",
            "description": "Docker is free software that automates the deployment of applications in software containers executant in isolation. A Docker container, away from traditional virtual machines, requires no separate operating system and not providing any but relies instead on the core functionality and uses the isolation of resources and namespaces separated to isolate the operating system as seen by the application.\n",
            "communities": [],
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            "doi": null,
            "fileLocation": "http://bioserv.rpbs.univ-paris-diderot.fr/tutorials.html",
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            "topics": [],
            "keywords": [
                "Docker"
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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": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/import-workflows-into-tess_4062/scormcontent/index.html",
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            "topics": [],
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                "biohackaton 2018"
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            "dateCreation": "2019-03-21",
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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": [],
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            "doi": null,
            "fileLocation": "https://urgi.versailles.inra.fr/Tools/REPET/TEdenovo-tuto",
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            "keywords": [
                "genomics",
                "Annotation"
            ],
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            "dateCreation": null,
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            "licence": "CeCILL",
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        },
        {
            "id": 5,
            "name": "Putting structured data into individual entry pages in biological database",
            "description": "\n \n\nPutting structured data into individual entry pages in biological database\n \n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://ressources.france-bioinformatique.fr/sites/default/files/videos/scorms/putting-structured_bf31/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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            "maintainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/669/?format=api"
            ]
        },
        {
            "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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            "dateCreation": 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",
            "fileName": "missing.txt",
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            "keywords": [
                "Structural genomics",
                "Copy number"
            ],
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}