Handles creating, reading and updating training materials.

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            "name": "training material sed and awk training",
            "description": "training material sed and awk training (genotoul bioinfo facility)",
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            "fileLocation": "https://genoweb.toulouse.inra.fr/~klopp/SedAwk2021/Processing_large_files_with_sed_awk_2021_v1.0.pdf",
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            "name": "training RNASeq biostat part",
            "description": "This course is part of the INRAE training session about “bioinformatics and biostatistics analysis of RNA-seq data” and of the Biostatistics platform “Initiation à LA statistique, niveau 4”. \r\nThe material provided on the present webpage is related to the biostatistics part and covers the following topics:\r\n\r\nR and RStudio\r\ndesign of experiments\r\nvariability\r\ncount data normalization\r\ndifferential analysis\r\nThe material has originally been prepared by Ignacio Gonzales, Annick Moisan and myself. The class has already been taught by these persons but also by Gaëlle Lefort and Jérôme Mariette.\r\n\r\nPre-requisites: A background in R programming is necessary for this class. Before the class, please download the course material and install R, RStudio and the packages as described below. To produce high quality figures, I will use ggplot2 for plots but will not enter into details about the ggplot2 syntax. If you are not familiar with it, you can just use these command lines or switch to base plots instead.",
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            "name": "training RNASEQ Bioinfo part",
            "description": "Cette formation a pour but de vous aider à traiter les séquences courtes issues des plates-formes de séquençage Illumina. Vous y découvrirez les formats de séquences et d’alignement les biais connus et mettrez en œuvre des logiciels d'alignement épissé sur génome de référence, la recherche de nouveaux gènes, de nouveaux transcrits et la quantification de l'expression de ces gènes et transcrits.",
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            "id": 133,
            "name": "Introduction to image analysis using Galaxy",
            "description": "This tutorial covers the questions:\r\n- How do I use Galaxy with imaging data?\r\n- How do I convert images using Galaxy?\r\n- How do I display images in Galaxy?\r\n- How do I filter images in Galaxy?\r\n- How do I segment simple images in Galaxy?\r\n\r\nAt the end of the tutorial, learners would be able to:\r\n- How to handle images in Galaxy.\r\n- How to perform basic image processing in Galaxy.",
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            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/imaging/tutorials/imaging-introduction/tutorial.html",
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                "Graduate",
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                "Professional (continued)"
            ],
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                "Life scientists",
                "Biologists"
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            "id": 134,
            "name": "Nucleoli segmentation and feature extraction using CellProfiler",
            "description": "This tutorial covers the following questions:\r\n- How do I run an image analysis pipeline on public data using CellProfiler?\r\n- How do I analyse the DNA channel of fluorescence siRNA screens?\r\n- How do I download public image data into my history?\r\n- How do I segment and label cell nuclei?\r\n- How do I segment nucleoli (as the absence of DNA)?\r\n- How do I combine nuclei and nucleoli into one segmentation mask?\r\n- How do I extract the background of an image?\r\n- How do I relate the nucleoli to their parent nucleus?\r\n- How do I measure the image and object features?\r\n- How do I measure the image quality?\r\n\r\nAt the end of the tutorial, learners would be able to:\r\n- How to download images from a public image repository.\r\n- How to segment cell nuclei using CellProfiler in Galaxy.\r\n- How to segment cell nucleoli using CellProfiler in Galaxy.\r\n- How to extract features for images, nuclei and nucleoli.",
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            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/imaging/tutorials/tutorial-CP/tutorial.html",
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            "id": 129,
            "name": "Bacterial Genome Annotation",
            "description": "This tutorial covers the questions:\r\n- Which genes are on a draft bacterial genome?\r\n- Which other genomic components can be found on a draft bacterial genome?\r\n\r\nAt the end of the tutorial, learners would be able to:\r\n- Run a series of tools to annotate a draft bacterial genome for different types of genomic components\r\n- Evaluate the annotation\r\n- Process the outputs to format them for visualization needs\r\n- Visualize a draft bacterial genome and its annotations",
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            "doi": null,
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                "http://edamontology.org/topic_0219"
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            "keywords": [
                "Bacterial isolate",
                "Annotation",
                "Galaxy"
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                "Professional (initial)",
                "Professional (continued)"
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        },
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            "id": 128,
            "name": "Mapping with Galaxy",
            "description": "This tutorial covers the questions:\r\n- What is mapping?\r\n- What two things are crucial for a correct mapping?\r\n- What is BAM?\r\n\r\nAt the end of the tutorial, learners would be able to:\r\n- Define what mapping is\r\n- Perform mapping of reads on a reference genome\r\n- Evaluate the mapping output",
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            "doi": null,
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            "topics": [
                "http://edamontology.org/topic_0102"
            ],
            "keywords": [
                "Mapping"
            ],
            "audienceTypes": [
                "Undergraduate",
                "Graduate",
                "Professional (initial)",
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Researchers",
                "Life scientists",
                "Biologists"
            ],
            "difficultyLevel": "Novice",
            "providedBy": [],
            "dateCreation": null,
            "dateUpdate": null,
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        },
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            "id": 132,
            "name": "Metatranscriptomics analysis using microbiome RNA-seq data",
            "description": "This tutorial covers the questions:\r\n- How to analyze metatranscriptomics data?\r\n- What information can be extracted of metatranscriptomics data?\r\n- How to assign taxa and function to the identified sequences?\r\n\r\nAt the end of the tutorial, learners would be able to:\r\n- Choose the best approach to analyze metatranscriptomics data\r\n- Understand the functional microbiome characterization using metatranscriptomic results\r\n- Understand where metatranscriptomics fits in ‘multi-omic’ analysis of microbiomes\r\n- Visualise a community structure",
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            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/microbiome/tutorials/metatranscriptomics/tutorial.html",
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            "topics": [
                "http://edamontology.org/topic_1775",
                "http://edamontology.org/topic_3941"
            ],
            "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": 127,
            "name": "Quality Control with Galaxy",
            "description": "This tutorial covers the questions:\r\n- How to perform quality control of NGS raw data?\r\n- What are the quality parameters to check for a dataset?\r\n- How to improve the quality of a dataset?\r\n\r\nAt the end of the tutorial, learners would be able to:\r\n- Assess short reads FASTQ quality using FASTQE 🧬😎 and FastQC\r\n- Assess long reads FASTQ quality using Nanoplot and PycoQC\r\n- Perform quality correction with Cutadapt (short reads)\r\n-  Summarise quality metrics MultiQC\r\n- Process single-end and paired-end data",
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            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/sequence-analysis/tutorials/quality-control/tutorial.html",
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                "http://edamontology.org/topic_0091"
            ],
            "keywords": [
                "Quality Control"
            ],
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                "Graduate",
                "Professional (initial)",
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Researchers",
                "Life scientists",
                "Biologists"
            ],
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            "dateCreation": null,
            "dateUpdate": null,
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        },
        {
            "id": 126,
            "name": "Galaxy 101 for everyone",
            "description": "This practical aims at familiarizing you with the Galaxy user interface. It will teach you how to perform basic tasks such as importing data, running tools, working with histories, creating workflows and sharing your work. Not everyone has the same background and that’s ok!",
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            "doi": null,
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        },
        {
            "id": 131,
            "name": "16S Microbial Analysis with mothur",
            "description": "This tutorial covers the questions:\r\n- What is the effect of normal variation in the gut microbiome on host health?\r\n\r\nAt the end of the tutorial, learners would be able to:\r\n- Analyze of 16S rRNA sequencing data using the mothur toolsuite in Galaxy\r\n- Using a mock community to assess the error rate of your sequencing experiment\r\n- Visualize sample diversity using Krona and Phinch",
            "communities": [],
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            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/microbiome/tutorials/mothur-miseq-sop-short/tutorial.html",
            "fileName": "mothur-miseq-sop-short",
            "topics": [
                "http://edamontology.org/topic_3697",
                "http://edamontology.org/topic_0637"
            ],
            "keywords": [
                "Galaxy",
                "Metabarcoding"
            ],
            "audienceTypes": [
                "Undergraduate",
                "Graduate",
                "Professional (initial)",
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Researchers",
                "Life scientists",
                "Biologists"
            ],
            "difficultyLevel": "Novice",
            "providedBy": [],
            "dateCreation": null,
            "dateUpdate": null,
            "licence": "CC-BY-4.0",
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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": [],
            "elixirPlatforms": [],
            "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"
            ],
            "audienceTypes": [
                "Undergraduate",
                "Graduate",
                "Professional (initial)",
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Researchers",
                "Life scientists",
                "Biologists"
            ],
            "difficultyLevel": "Novice",
            "providedBy": [],
            "dateCreation": null,
            "dateUpdate": null,
            "licence": "CC-BY-4.0",
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        },
        {
            "id": 125,
            "name": "ETBII 2023",
            "description": "All the training materials dedicated to the IFB's Integrative Bioinformatics Thematic School, which took place in January 2023.",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://moodle.france-bioinformatique.fr/course/view.php?id=13",
            "fileName": "ETBII 2023 Training materials",
            "topics": [
                "http://edamontology.org/topic_3316",
                "http://edamontology.org/topic_3474",
                "http://edamontology.org/topic_3391",
                "http://edamontology.org/topic_3365",
                "http://edamontology.org/topic_2269",
                "http://edamontology.org/topic_0092",
                "http://edamontology.org/topic_3307",
                "http://edamontology.org/topic_0091"
            ],
            "keywords": [
                "Biological network inference and analysis",
                "Multivariate analyses",
                "Semantic web",
                "Data Integration"
            ],
            "audienceTypes": [
                "Professional (initial)"
            ],
            "audienceRoles": [
                "Life scientists",
                "Computer scientists",
                "Bioinformaticians"
            ],
            "difficultyLevel": "Novice",
            "providedBy": [
                {
                    "id": 29,
                    "name": "IFB Core",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/IFB%20Core/"
                }
            ],
            "dateCreation": null,
            "dateUpdate": null,
            "licence": null,
            "maintainers": [
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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",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "http://gene-regulation.readthedocs.io/en/latest/snakemake.html",
            "fileName": "missing.txt",
            "topics": [],
            "keywords": [
                "Gene regulation",
                "Snakemake"
            ],
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "providedBy": [],
            "dateCreation": "2016-04-13",
            "dateUpdate": null,
            "licence": null,
            "maintainers": [
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                "https://catalogue.france-bioinformatique.fr/api/userprofile/624/"
            ]
        },
        {
            "id": 123,
            "name": "IFB Cloud tutorial: Gene regulation",
            "description": "1. Using the Gene-regulation appliance\n1.1 Requirements\n1.2 Virtual disk creation\n1.3 Creation of an instance\n1.4 Connection to the device\n1.5 Download source data\n1.6 Execute workflow\n\n2. Visualizing results\n2.1 Install and run the X2Go client on your host computer\n2.2 Visualize results\nFastQC\nIGV\n\n\n3. Create your own Gene-regulation appliance\nCreation of an instance\nInstalling programs and dependencies\nGet the gene-regulation repository\nRun makefile to install the dependencies\n\n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://github.com/rioualen/gene-regulation/blob/master/doc/gene-regulation_tutorials/gene-regulation_with_IFB_cloud.Rmd",
            "fileName": "missing.txt",
            "topics": [],
            "keywords": [
                "Gene regulation",
                "Cloud Computing"
            ],
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "providedBy": [],
            "dateCreation": "2016-05-31",
            "dateUpdate": null,
            "licence": null,
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            ]
        },
        {
            "id": 122,
            "name": "Docker tutorial: Gene regulation",
            "description": "Get started with Docker!\nCreate a Docker account\nInstall Docker on your local host\nCreate shared repositories and download source data\nFetch the Docker image and run it with shared folders\nExecute the pipeline\n\nJVH / Mac\n",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://github.com/rioualen/gene-regulation/blob/master/doc/gene-regulation_tutorials/gene-regulation_with_docker.Rmd",
            "fileName": "missing.txt",
            "topics": [],
            "keywords": [
                "Gene regulation",
                "Docker"
            ],
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "providedBy": [],
            "dateCreation": "2016-05-31",
            "dateUpdate": null,
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