Handles creating, reading and updating training materials.

GET /api/trainingmaterial/?format=api&offset=140&ordering=difficultyLevel
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "count": 144,
    "next": null,
    "previous": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/?format=api&limit=20&offset=120&ordering=difficultyLevel",
    "results": [
        {
            "id": 140,
            "name": "TP Cluster",
            "description": "TP for cluster training (bioinfo genotoul facility)",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://genotoul-bioinfo.pages.mia.inra.fr/linux-cluster/",
            "fileName": "linux-cluster",
            "topics": [],
            "keywords": [
                "Cluster"
            ],
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "Novice",
            "providedBy": [
                {
                    "id": 22,
                    "name": "Genotoul-bioinfo",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=api"
                }
            ],
            "dateCreation": null,
            "dateUpdate": null,
            "licence": "CC BY-NC-SA",
            "maintainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/300/?format=api"
            ]
        },
        {
            "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",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/microbiome/tutorials/metatranscriptomics/tutorial.html",
            "fileName": "metatranscriptomics",
            "topics": [
                "http://edamontology.org/topic_1775",
                "http://edamontology.org/topic_3941"
            ],
            "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",
            "maintainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/677/?format=api"
            ]
        },
        {
            "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",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/sequence-analysis/tutorials/mapping/tutorial.html",
            "fileName": "mapping",
            "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,
            "licence": "CC-BY-4.0",
            "maintainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/677/?format=api"
            ]
        },
        {
            "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",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/sequence-analysis/tutorials/quality-control/tutorial.html",
            "fileName": "quality-control",
            "topics": [
                "http://edamontology.org/topic_3168",
                "http://edamontology.org/topic_0091"
            ],
            "keywords": [
                "Quality Control"
            ],
            "audienceTypes": [
                "Graduate",
                "Professional (initial)",
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Researchers",
                "Life scientists",
                "Biologists"
            ],
            "difficultyLevel": "Novice",
            "providedBy": [],
            "dateCreation": null,
            "dateUpdate": null,
            "licence": "CC-BY-4.0",
            "maintainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/677/?format=api"
            ]
        }
    ]
}