Handles creating, reading and updating training materials.

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

{
    "count": 149,
    "next": null,
    "previous": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/?format=api&limit=20&offset=120",
    "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": 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": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/677/?format=api"
            ]
        },
        {
            "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",
            "maintainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/677/?format=api"
            ]
        },
        {
            "id": 146,
            "name": "Processing_large_files_with_sed_awk_2024",
            "description": "This “Sed and AWK to modify large text files” training session is organized by the Genotoul bioinfo platform.\r\n\r\nThe Linux sed command is a powerful and very fast text editor without an interface. Sed can select, substitute, add, delete, and modify text in files and streams. Sed relies heavily on regular expressions for pattern matching and text selection. We’ll manipulate regexes and the sed command to modify and filter several type of file often used in bioinformatics.\r\n\r\nAWK enables to easily process columns in large text files but is also a quite powerfull programming language. This training session aims at introducing you AWK principles. You will learn about variables, operators and functions useful to manipulate very large files. \r\n\r\nFor example you can use AWK to generate your unix command lines to be launched on the cluster. AWK enables to process millions of lines in text files. The course includes short feature presentations between long hands-on sessions in which you will be able to understand the global ideas as well as details.",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://web-genobioinfo.toulouse.inrae.fr/~klopp/SedAwk2024/Processing_large_files_with_sed_awk_2024.pdf",
            "fileName": "Processing_large_files_with_sed_awk_2024.pdf",
            "topics": [],
            "keywords": [],
            "audienceTypes": [
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Biologists",
                "Bioinformaticians"
            ],
            "difficultyLevel": "Intermediate",
            "providedBy": [
                {
                    "id": 22,
                    "name": "Genotoul-bioinfo",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/Genotoul-bioinfo/?format=api"
                }
            ],
            "dateCreation": null,
            "dateUpdate": "2024-03-01",
            "licence": null,
            "maintainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/300/?format=api"
            ]
        },
        {
            "id": 147,
            "name": "Data-brokering script",
            "description": "This project generates metadata in JSON-LD format for plant and animal biological samples and submits them to the European Nucleotide Archive (ENA)'s BioSamples database. The metadata is extracted from an Excel file and validated against the Plant MIAPPE checklist for plant samples and against the BioSamples minimal checklist for animal samples. Samples are then either submitted as new entries or updated if they already exist in the database.",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://forgemia.inra.fr/urgi-is/data-brokering",
            "fileName": "submit_data_biosamples_X.py",
            "topics": [],
            "keywords": [],
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "providedBy": [
                {
                    "id": 26,
                    "name": "URGI",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/URGI/?format=api"
                }
            ],
            "dateCreation": null,
            "dateUpdate": null,
            "licence": "CC-BY-4.0",
            "maintainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/441/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/813/?format=api"
            ]
        },
        {
            "id": 148,
            "name": "One line perl",
            "description": "Improve your command line skills by learning a few words of Perl (08/12/2025)\r\nThe GenoToul bioinformatics platform and Sigenae organize a series of training courses to familiarize yourself with the various resources it provides. These resources are currently: the hardware infrastructure, biological data banks and widely used bioinformatics softwares. This “Perl one-liners” training session is organized by the Sigenae platform. Perl one-liners are small and awesome Perl programs that fit in a single line of code and perform many operations such as replacing of text, spacing, deleting, calculation, manipulation in files and many more. This training will allow you to discover the power of Perl on the command line and learn how to use it to automate your file manipulations and command line generation with classical file formats such as tabulated text, fastq, sam/bam, and vcf.\r\n\r\ncalendar\r\n \r\n\r\nThis training lasts one day and is focused on practice. It consists of 3 parts with a large variety of exercises:\r\n\r\nIntroduction to Perl and its characteristics: Perl is a widely used programming language for data processing and task automation. We will introduce the main characteristics of Perl and discuss why it is particularly suited for biologists who want to manipulate files and generate command lines.\r\nPerl on the command line: we will show how to use Perl on the command line to perform common tasks, such as searching and replacing strings, merging files, and loop over lists of files.\r\nConcrete examples: we will present several concrete examples drawn from biology, such as extracting information from genomic sequence files, converting files between different formats, and generating command lines for data biology tools.",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://web-genobioinfo.toulouse.inrae.fr/~ccabau/Perl_One-liner.pdf",
            "fileName": "Perl_One-liner.pdf",
            "topics": [],
            "keywords": [],
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "Intermediate",
            "providedBy": [],
            "dateCreation": null,
            "dateUpdate": null,
            "licence": null,
            "maintainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/300/?format=api"
            ]
        },
        {
            "id": 149,
            "name": "Supports FAIR data PLANT PHENO 2023",
            "description": "Ensemble des supports utilisés pour la version 2023 de la formation FAIR data PLANT PHENO",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://moodle.france-bioinformatique.fr/course/view.php?id=17",
            "fileName": "Supports FAIR data PLANT PHENO 2023",
            "topics": [],
            "keywords": [],
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "Novice",
            "providedBy": [
                {
                    "id": 26,
                    "name": "URGI",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/URGI/?format=api"
                }
            ],
            "dateCreation": null,
            "dateUpdate": null,
            "licence": "CC-BY-4.0",
            "maintainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/441/?format=api"
            ]
        },
        {
            "id": 150,
            "name": "Plant Data Managment for Phenotyping Experiments - MIAPPE",
            "description": "The Minimal Information About Plant Phenotyping Experiment, MIAPPE (www.miappe.org) has been designed by ELIXIR, EMPHASIS and Bioversity international, to guide plant scientist in the management of experimental data. Furthermore, since genetic studies relies on the integration and the linking between phenotype and genotype datasets, relevant section of MIAPPE are beginning to be used for genotyping standards. This Webinar will give an overview of the current practices and methods for plant phenotyping data standardization, and how to deal with the variability and heterogeneity inherent to research and breeding data sets. Data management approaches at some of the major research organizations will be given as examples.",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://hal.inrae.fr/hal-03102944",
            "fileName": "2020-12-MIAPPE-Webinar.pdf",
            "topics": [
                "http://edamontology.org/topic_0625"
            ],
            "keywords": [
                "Données"
            ],
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "Novice",
            "providedBy": [],
            "dateCreation": null,
            "dateUpdate": null,
            "licence": "CC BY-SA 4.0",
            "maintainers": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/441/?format=api"
            ]
        },
        {
            "id": 151,
            "name": "Metagenomic training",
            "description": "Slides and link to practical session parts",
            "communities": [],
            "elixirPlatforms": [],
            "doi": null,
            "fileLocation": "https://bioinfo.genotoul.fr/wp-content/uploads/Formation2025.pdf",
            "fileName": "Formation2025.pdf",
            "topics": [
                "http://edamontology.org/topic_3174"
            ],
            "keywords": [],
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "Intermediate",
            "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"
            ]
        }
    ]
}