Training Material Instance

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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",
    "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"
    ]
}