Handles creating, reading and updating training materials.

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            "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": [],
            "elixirPlatforms": [],
            "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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        },
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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.",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/imaging/tutorials/tutorial-CP/tutorial.html",
            "fileName": "tutorial-CP",
            "topics": [
                "http://edamontology.org/topic_3383",
                "http://edamontology.org/topic_3382"
            ],
            "keywords": [
                "Galaxy"
            ],
            "audienceTypes": [
                "Undergraduate",
                "Graduate",
                "Professional (initial)",
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Researchers",
                "Life scientists",
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            "difficultyLevel": "Novice",
            "providedBy": [],
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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",
            "communities": [],
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            "fileLocation": "https://training.galaxyproject.org/training-material/topics/genome-annotation/tutorials/bacterial-genome-annotation/tutorial.html",
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                "Bacterial isolate",
                "Annotation",
                "Galaxy"
            ],
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                "Undergraduate",
                "Graduate",
                "Professional (initial)",
                "Professional (continued)"
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                "Researchers",
                "Life scientists",
                "Biologists"
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            "difficultyLevel": "Novice",
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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,
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                "http://edamontology.org/topic_3168",
                "http://edamontology.org/topic_0091"
            ],
            "keywords": [
                "Quality Control"
            ],
            "audienceTypes": [
                "Graduate",
                "Professional (initial)",
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Researchers",
                "Life scientists",
                "Biologists"
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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",
            "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,
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        },
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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",
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            "topics": [
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                "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,
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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.",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/imaging/tutorials/imaging-introduction/tutorial.html",
            "fileName": "imaging-introduction",
            "topics": [
                "http://edamontology.org/topic_3383",
                "http://edamontology.org/topic_3382"
            ],
            "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": [
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        },
        {
            "id": 145,
            "name": "Introduction to Transcriptomics",
            "description": "This slidedecks presents the concepts behind transcriptomics",
            "communities": [],
            "elixirPlatforms": [],
            "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"
            ],
            "keywords": [
                "RNA-seq",
                "Transcriptomics (RNA-seq)"
            ],
            "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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                "https://catalogue.france-bioinformatique.fr/api/userprofile/677/"
            ]
        },
        {
            "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_3941",
                "http://edamontology.org/topic_1775"
            ],
            "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": 144,
            "name": "Reference-based RNA-Seq data analysis with Galaxy",
            "description": "This tutorial covers the questions:\r\n- What are the steps to process RNA-Seq data?\r\n- How to identify differentially expressed genes across multiple experimental conditions?\r\n- What are the biological functions impacted by the differential expression of genes?\r\n\r\nAt the end of the tutorial, learners would be able to:\r\n- Check a sequence quality report generated by FastQC for RNA-Seq data\r\n- Explain the principle and specificity of mapping of RNA-Seq data to an eukaryotic reference genome\r\n- Select and run a state of the art mapping tool for RNA-Seq data\r\n- Evaluate the quality of mapping results\r\n- Describe the process to estimate the library strandness\r\n- Estimate the number of reads per genes\r\n- Explain the count normalization to perform before sample comparison\r\n- Construct and run a differential gene expression analysis\r\n- Analyze the DESeq2 output to identify, annotate and visualize differentially expressed genes\r\n- Perform a gene ontology enrichment analysis\r\n- Perform and visualize an enrichment analysis for KEGG pathways",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/transcriptomics/tutorials/ref-based/tutorial.html",
            "fileName": "rna-seq",
            "topics": [
                "http://edamontology.org/topic_0102",
                "http://edamontology.org/topic_1775",
                "http://edamontology.org/topic_0203",
                "http://edamontology.org/topic_3308",
                "http://edamontology.org/topic_3170"
            ],
            "keywords": [
                "Galaxy",
                "RNA-seq"
            ],
            "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": [
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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.",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/imaging/tutorials/tutorial-CP/tutorial.html",
            "fileName": "tutorial-CP",
            "topics": [
                "http://edamontology.org/topic_3383",
                "http://edamontology.org/topic_3382"
            ],
            "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/"
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        },
        {
            "id": 142,
            "name": "Introduction to python",
            "description": "Training slides (theory and exercises)",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://training-python-for-biology-genotoul-bioinfo-a77c191514cdd1dc1b.pages.mia.inra.fr/#/title-slide",
            "fileName": "training-python-for-biology",
            "topics": [
                "http://edamontology.org/topic_3316"
            ],
            "keywords": [
                "Python Language"
            ],
            "audienceTypes": [
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Life scientists"
            ],
            "difficultyLevel": "Novice",
            "providedBy": [
                {
                    "id": 22,
                    "name": "Genotoul-bioinfo",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/"
                }
            ],
            "dateCreation": null,
            "dateUpdate": null,
            "licence": "Creative Commons Attribution 4.0 International License",
            "maintainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/300/"
            ]
        },
        {
            "id": 143,
            "name": "workflows nf-core",
            "description": "Tutorial to launch and configure nf-core workflows on genotoul bioinfo cluster",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://genotoul-bioinfo.pages.mia.inra.fr/use-nextflow-nfcore-course/",
            "fileName": "use-nextflow-nfcore-course",
            "topics": [
                "http://edamontology.org/topic_0769"
            ],
            "keywords": [
                "Nextflow"
            ],
            "audienceTypes": [
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Life scientists"
            ],
            "difficultyLevel": "Novice",
            "providedBy": [
                {
                    "id": 22,
                    "name": "Genotoul-bioinfo",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/"
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            ],
            "dateCreation": null,
            "dateUpdate": null,
            "licence": "CC BY-NC-SA",
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                "https://catalogue.france-bioinformatique.fr/api/userprofile/300/"
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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",
            "maintainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/677/"
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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",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://training.galaxyproject.org/training-material/topics/genome-annotation/tutorials/bacterial-genome-annotation/tutorial.html",
            "fileName": "bacterial-genome-annotation",
            "topics": [
                "http://edamontology.org/topic_3301",
                "http://edamontology.org/topic_0219"
            ],
            "keywords": [
                "Bacterial isolate",
                "Annotation",
                "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/"
            ]
        },
        {
            "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_3941",
                "http://edamontology.org/topic_1775"
            ],
            "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": [
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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/"
            ]
        },
        {
            "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/"
            ]
        },
        {
            "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_0091",
                "http://edamontology.org/topic_3307"
            ],
            "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": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/762/"
            ]
        },
        {
            "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": [],
            "elixirPlatforms": [],
            "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",
            "maintainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/677/"
            ]
        }
    ]
}