Handles creating, reading and updating training events.

GET /api/training/?format=api&offset=180&ordering=-homepage
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "count": 378,
    "next": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=200&ordering=-homepage",
    "previous": "https://catalogue.france-bioinformatique.fr/api/training/?format=api&limit=20&offset=160&ordering=-homepage",
    "results": [
        {
            "id": 69,
            "name": "Methods for phylogenetics trees construction",
            "shortName": "",
            "description": "This training session is organized by the bios4Biol CATI and aims at training participants to construct and interpret phylogenetic trees.\nYou will discover how to choose an evolutionary model and a phylogenetic inference method (among distance, parsimony, maximum likelihood and Bayesian methods) and how to evaluate the robustness of a tree using bootstrap.\n",
            "homepage": "http://bioinfo.genotoul.fr/index.php/events/methods-for-phylogenetic-trees-const…",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "Phylogeny",
                "Evolution and Phylogeny",
                "Molecular evolution",
                "Genes and genomes"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "You need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private.\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": []
        },
        {
            "id": 144,
            "name": "FROGS formation : tools for bioinformatics and statistics analyses with amplicon metagenomics data",
            "shortName": "",
            "description": "This training session, organized by Bioinfo Genotoul, Sigenae, NED (GenPhySE) and TWB, is designed to help you to deal with NGS data of 16S, 18S ... DNA produced with MiSeq from Illumina and Roche 454 technologies in the Galaxy workbench.\nYou will discover how to use our Galaxy instance, clean reads, clusterize them, do the taxonomic affiliation and perform statistics to interpret your results.\nPrerequisites: knowledge of R or in another programming language\n",
            "homepage": "http://bioinfo.genotoul.fr/index.php/events/metagenomic-amplicons-and-stats-with…",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "NGS Data Analysis",
                "Metagenomics",
                "metatranscriptomics",
                "Galaxy"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "Subscribe by the web page : http://bioinfo.genotoul.fr/index.php/training-2/galaxy-training/.\nPrices : 165 euros per day for academic people, 550 per day otherwise.\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/FROGS_logo_0.png",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/273/?format=api"
            ]
        },
        {
            "id": 71,
            "name": "Galaxy : first step",
            "shortName": "",
            "description": "Galaxy is a workbench available for biologists from Sigenae Platform. Galaxy objectives are:\n    First, making bioinfo Linux tools accessible to biologists.\n    Then, it is possible to add Linux tools by developpers into Galaxy workbench.\n    Then, Galaxy is used to hide the complexity of the infrastructure and to allow creation, execution and sharing of workflows.\nYou will acquire the following competencies required for the other Galaxy trainning:\n    Login to Galaxy: Galaxy Workbench (To access to Galaxy, you need to have an LDAP Genotoul login and password).\n    Begin to use some tools provided (BWA, SAM tools, FastQC).\n    Work on files.\nOrganized jointly by the Sigenae and the Bioinfo Genotoul platform.\n",
            "homepage": "http://bioinfo.genotoul.fr/index.php/events/first-step-with-galaxy/",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "Web portals",
                "Galaxy",
                "Interfaces",
                "NGS Sequencing Data Analysis"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "You need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private.\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": []
        },
        {
            "id": 64,
            "name": "Read alignment and SNP calling",
            "shortName": "",
            "description": "This training session, organized jointly with the Sigenae platform, is designed to help you deal with NGS data, in particular Roche 454 and Illumina Solexa technologies. You will discover the new sequence formats, the new assembly formats and the known biases of these technologies. You will use mapping on reference genome software, polymorphisms detection (with the GATK pipeline), polymorphisms annotation and alignment visualization software. Organized jointly by the Sigenae and bioinfo genotoul platforms.\n",
            "homepage": "http://bioinfo.genotoul.fr/index.php/events/alignment-and-small-size-variants-ca…",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "NGS Data Analysis",
                "Variant analysis",
                "Genomics (DNA-seq)"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "You need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private.\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": []
        },
        {
            "id": 75,
            "name": "Galaxy: metagenomic: sequence analysis of amplicons from MiSeq and 454 sequencing with FROGS with Galaxy first step and statistics",
            "shortName": "",
            "description": "This training session, organized by Bioinfo Genotoul, Sigenae, NED (GenPhySE) and TWB, is designed to help you to deal with NGS data of 16S, 18S ... DNA produced with MiSeq from Illumina and Roche 454 technologies in the Galaxy workbench.\nYou will discover how to use our Galaxy instance, clean reads, clusterize them, do the taxonomic affiliation and perform statistics to interpret your results.\nPrerequisites: knowledge of R or in another programming language\n",
            "homepage": "http://bioinfo.genotoul.fr/index.php",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "Galaxy"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "An account on the platform Bioinfo Genotoul is necessary (request a form on the website), you need to register (via the website) and pay 165 euros a day for academic and 550 euros a day for a private\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": []
        },
        {
            "id": 4,
            "name": "Introduction to data analysis with R",
            "shortName": "",
            "description": "The program includes an introduction:\nApproaches in biostatistics and research, explaining to participants the principles, methodologies, use of statistical methods and applications in biology and clinical research.\nCourses on software R will be delivered in the form of additional exercises. The basis of the programming language R will be discussed and statistical approaches presented in the theoretical part will be implemented.\nApplication of skills acquired over a personal dataset\n",
            "homepage": "",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "Programming Languages & Computer Sciences",
                "R Language"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "Aucune\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": []
        },
        {
            "id": 5,
            "name": "Partek Workshop",
            "shortName": "",
            "description": "Introduction to Partek® software and the principles of RNA-seq data analysis DNA-Seq analysis and annotations with Partek® Genomics Suite® Hands on analysis in Partek® Flow® including: Data import and sample annotation, Pre and post alignment quality control, Gene and transcript quantification, Detection of differential expression using powerful gene specific modeling\n",
            "homepage": "",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "Bioinformatics & Biomedical"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "Aucune\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": []
        },
        {
            "id": 6,
            "name": "Ingenuiy Pathways Analysis Workshop",
            "shortName": "",
            "description": "The User Group Meeting will consist of talks, customer case studies and interactive feedback sessions where new and existing users of QIAGEN’s Ingenuity products can learn about product updates, usability tips & tricks and best practices. Take advantage of this opportunity to engage with other users from the scientific community.\n",
            "homepage": "",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "Bioinformatics & Biomedical"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "Aucune\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": []
        },
        {
            "id": 195,
            "name": "NGS et Cancer (Canceropôle) : Analyse A-RNASeq",
            "shortName": "",
            "description": "",
            "homepage": "",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/322/?format=api"
            ]
        },
        {
            "id": 194,
            "name": "NGS et Cancer (Canceropôle) : Analyse DNASeq",
            "shortName": "",
            "description": "",
            "homepage": "",
            "is_draft": false,
            "costs": [
                "Free"
            ],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/321/?format=api"
            ]
        },
        {
            "id": 22,
            "name": "Comparaisons de séquences protéiques",
            "shortName": "",
            "description": "http://migale.jouy.inra.fr/?q=fr/formations\n",
            "homepage": "",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "Autre"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "http://migale.jouy.inra.fr/?q=fr/formations\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": []
        },
        {
            "id": 23,
            "name": "Ensembl Biomart",
            "shortName": "",
            "description": "http://migale.jouy.inra.fr/?q=fr/formations\n",
            "homepage": "",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "Autre"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "http://migale.jouy.inra.fr/?q=fr/formations\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": []
        },
        {
            "id": 24,
            "name": "Initiation à la phylogénie",
            "shortName": "",
            "description": "http://migale.jouy.inra.fr/?q=fr/formations\n",
            "homepage": "",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "Phylogeny"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": []
        },
        {
            "id": 8,
            "name": "DU \"séquençage haut débit et maladies génétiques\"",
            "shortName": "",
            "description": "Acquérir une formation en séquençage nouvelle génération appliqué aux maladies génétiques mendéliennes,des technologies de séquençage et approches expérimentales possibles aux outils bio-informatiques utilisés pour le traitement des données brutes, l'identification de variations génétiques et l'interprétation des résultats. Se familiariser avec le système Unix/Linux, la ligne de commande et la gestion et l'analyse de données sur un serveur à distance. Connaître et savoir utiliser les principaux logiciels dédiés à l'analyse de données de séquençage nouvelle génération, de l'alignement des séquences brutes à l'annotation de variations génétiques. Maîtriser les principaux navigateurs, bases de données et outils de prédiction couramment utilisés en génétique humaine et médicale. Connaître les différentes applications possibles du séquençage nouvelle génération pour le diagnostic de maladies génétiques, les principales règles à suivre et paramètres à considérer pour assurer la qualité des données produites dans un contexte de laboratoire médical, et les considérations éthiques que soulève le séquençage nouvelle génération pour l'interprétation et le rendu des résultats.\n",
            "homepage": "",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [],
            "prerequisites": [
                "Autre (Diplôme universitaire, école d'ingénieur ...)"
            ],
            "openTo": "Internal personnel",
            "accessConditions": "Aucune\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": []
        },
        {
            "id": 372,
            "name": "Introduction à l'analyse d’images avec Galaxy",
            "shortName": "",
            "description": "L’objectif de cette formation est de se familiariser avec les premières étapes à l’analyse d’images. Nous proposons au personnel non-bioinformaticien de les accompagner dans la prise en main des ces étapes d’analyses en utilisant la plateforme de bio-analyse Galaxy. \r\n\r\nAprès une introduction à l’analyse d’images, une session pratique sur la plateforme Galaxy couvrira comment :\r\n- extraire des métadonnées d’une image,\r\n- convertir, filtrer et segmenter une image",
            "homepage": "",
            "is_draft": false,
            "costs": [
                "Free to academics"
            ],
            "topics": [
                "http://edamontology.org/topic_3383",
                "http://edamontology.org/topic_3382"
            ],
            "keywords": [
                "Galaxy"
            ],
            "prerequisites": [
                "Galaxy - Basic usage"
            ],
            "openTo": "Internal personnel",
            "accessConditions": "Formation ouverte au personnel de l’UCA & Associés\r\nAvoir un ordinateur portable et un accès wifi eduroam\r\nAvoir un compte sur la plateforme Galaxy (Faire une demande le cas échéant sur hub.mesocentre.uca.fr)\r\nÊtre familier avec Galaxy",
            "maxParticipants": null,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/261/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/677/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [
                {
                    "id": 1,
                    "name": "CNRS - IFB",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/CNRS%20-%20IFB/?format=api"
                },
                {
                    "id": 16,
                    "name": "Université Clermont Auvergne",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Universit%C3%A9%20Clermont%20Auvergne/?format=api"
                }
            ],
            "organisedByOrganisations": [
                {
                    "id": 96,
                    "name": "Mésocentre Clermont-Auvergne",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/M%C3%A9socentre%20Clermont-Auvergne/?format=api"
                },
                {
                    "id": 87,
                    "name": "AuBi",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/AuBi/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 31,
                    "name": "AuBi",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/AuBi/?format=api"
                }
            ],
            "logo_url": "https://mesocentre.uca.fr/medias/photo/logoaubi-2019minus_1553844844490-jpg?ID_FICHE=41175",
            "updated_at": "2024-02-08T11:25:36.663764Z",
            "audienceTypes": [
                "Undergraduate",
                "Graduate",
                "Professional (initial)",
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Researchers",
                "Life scientists",
                "Biologists"
            ],
            "difficultyLevel": "Novice",
            "trainingMaterials": [
                {
                    "id": 133,
                    "name": "Introduction to image analysis using Galaxy",
                    "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Introduction%20to%20image%20analysis%20using%20Galaxy/?format=api"
                }
            ],
            "learningOutcomes": "At 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",
            "hoursPresentations": 1,
            "hoursHandsOn": 2,
            "hoursTotal": 3,
            "personalised": null,
            "event_set": []
        },
        {
            "id": 43,
            "name": "Bioinformatique : maîtrise des environnements et des langages informatiques",
            "shortName": "",
            "description": "Dans le cadre de la formation permanente des formations sont proposées aux personnels des divers instituts. Les formations couvrent divers aspects allant de la méthodologie bioinformatique à la maîtrise des environnements et des langages informatiques.\nLes formations dispensées sont les suivantes :\n- Introduction bioinformatique\n- Introduction au système Linux et à SGE\n- Développement : Perl, Python\n- Galaxy:  utilisation, intégration d'outils, workflows, analyse RADseq\n- Environnement ISAtools\n- Environnement HubZero\n \n",
            "homepage": "",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [
                "Programming Languages & Computer Sciences"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": []
        },
        {
            "id": 44,
            "name": "Introduction Unix pour les biologistes",
            "shortName": "",
            "description": "https://www.biosciencesco.fr/formations/bio-informatique/introduction-unix-pour-les-biologistes/\n",
            "homepage": "",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [
                "Autre"
            ],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "Inscription auprès de la société FC3-­‐Bio, aucun prérequis\n",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": []
        },
        {
            "id": 45,
            "name": "Introduction à l'analyse de séquences nucléiques Du séquençage à l'annotation : aspects théoriques et pratiques",
            "shortName": "",
            "description": "https://www.biosciencesco.fr/formations/bio-informatique/introduction-a-lanalyse-de-sequences-nucleiques-du-sequencage-a-lannotation-aspects-theoriques-et-pratiques/\n",
            "homepage": "",
            "is_draft": false,
            "costs": [],
            "topics": [],
            "keywords": [],
            "prerequisites": [],
            "openTo": "Internal personnel",
            "accessConditions": "",
            "maxParticipants": null,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [],
            "organisedByTeams": [],
            "logo_url": "",
            "updated_at": "2022-06-02T11:50:50.812642Z",
            "audienceTypes": [],
            "audienceRoles": [],
            "difficultyLevel": "",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": []
        },
        {
            "id": 275,
            "name": "Single-Cell : Transcriptomics, Spatial and Long reads",
            "shortName": "SincellTE",
            "description": "This workshop focuses on the large-scale study of heterogeneity across individual cells from a genomic, transcriptomic and epigenomic point of view. New technological developments enable the characterization of molecular information at a single cell resolution for large numbers of cells. The high dimensional omics data that these technologies produce raise novel methodological challenges for the analysis. In this regard, dedicated bioinformatics and statistical methods have been developed in order to extract robust information.\r\n\r\nThe workshop aims to provide such methods for engineers and researchers directly involved in functional genomics projects making use of single-cell technologies. A wide range of single cell topics will be covered in lectures, demonstrations and practical classes. Among others, the areas and issues to be addressed will include the choice of the most appropriate single-cell sequencing technology, the experimental design and the bioinformatics and statistical methods and pipelines. For this edition, new courses/practicals will focus on spatial transcriptomics, cell phenotyping and additional multi-omics.\r\n\r\nA wide range of single cell topics will be covered in lectures, demonstrations and practical classes. Among others, the areas and issues to be addressed will include the choice of the most appropriate single-cell sequencing technology, the experimental design and the bioinformatics and statistical methods and pipelines. For this edition, new courses/practicals will focus on spatial transcriptomics, cell phenotyping and additional multi-omics.\r\n\r\nRequirements : Participants must have prior experience on NGS data analysis  with everyday use of R and good knowledge of Unix command line. Before the training, participants will be asked to familiarize themselves with the processing and primary analyses steps of scRNA-seq datasets with provided pedagogic material.\r\n\r\nIt is not necessary to have personal single-cell data to analyse.",
            "homepage": "",
            "is_draft": false,
            "costs": [
                "Priced"
            ],
            "topics": [],
            "keywords": [],
            "prerequisites": [
                "Master",
                "Autre (Diplôme universitaire, école d'ingénieur ...)"
            ],
            "openTo": "Everyone",
            "accessConditions": "Participants must have prior experience on NGS data analysis with everyday use of R and/or Python and good knowledge of Unix command line. Before the training, participants are advised to familiarize themselves with the processing and primary analyses steps of scRNA-seq datasets. \r\nIt is not necessary to have personal single-cell data to analyse.",
            "maxParticipants": 30,
            "contacts": [],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [],
            "organisedByOrganisations": [
                {
                    "id": 4,
                    "name": "IFB - ELIXIR-FR",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/IFB%20-%20ELIXIR-FR/?format=api"
                }
            ],
            "organisedByTeams": [],
            "logo_url": "https://ressources.france-bioinformatique.fr/sites/default/files/sincellTE_logo_0_2.png",
            "updated_at": "2024-03-20T09:31:42.144175Z",
            "audienceTypes": [],
            "audienceRoles": [
                "Researchers",
                "Life scientists",
                "Biologists",
                "Bioinformaticians"
            ],
            "difficultyLevel": "Intermediate",
            "trainingMaterials": [],
            "learningOutcomes": "",
            "hoursPresentations": null,
            "hoursHandsOn": null,
            "hoursTotal": null,
            "personalised": null,
            "event_set": [
                "https://catalogue.france-bioinformatique.fr/api/event/199/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/405/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/422/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/177/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/event/606/?format=api"
            ]
        },
        {
            "id": 371,
            "name": "Introduction à l'analyse de données métatranscriptomiques avec Galaxy",
            "shortName": "",
            "description": "L’objectif de cette formation est de se familiariser avec les étapes et les outils d’analyse de données métatranscriptomiques dans le but de comprendre les fonctions d’une communauté microbienne. Nous proposons au personnel non-bioinformaticien de les accompagner dans la prise en main de ces étapes  en utilisant la plateforme de bio-analyse Galaxy. \r\n\r\nAprès une introduction à la métatranscriptomique, une session pratique sur la plateforme Galaxy couvrira comment :\r\n- assigner des taxons à des données de métatranscriptomiques,\r\n- extraire des informations fonctionnelles au sein de données de métatranscriptomiques,\r\n- combiner informations taxonomiques et fonctionnelles pour faciliter la compréhension des fonctions d’une communauté microbienne",
            "homepage": "",
            "is_draft": false,
            "costs": [
                "Free to academics"
            ],
            "topics": [
                "http://edamontology.org/topic_3697",
                "http://edamontology.org/topic_0085",
                "http://edamontology.org/topic_3941",
                "http://edamontology.org/topic_1775"
            ],
            "keywords": [
                "Galaxy"
            ],
            "prerequisites": [
                "Galaxy - Basic usage"
            ],
            "openTo": "Internal personnel",
            "accessConditions": "Formation ouverte au personnel de l’UCA & Associés\r\nAvoir un ordinateur portable et un accès wifi eduroam\r\nAvoir un compte sur la plateforme Galaxy (Faire une demande le cas échéant sur hub.mesocentre.uca.fr)\r\nÊtre familier avec Galaxy",
            "maxParticipants": null,
            "contacts": [
                "https://catalogue.france-bioinformatique.fr/api/userprofile/261/?format=api",
                "https://catalogue.france-bioinformatique.fr/api/userprofile/677/?format=api"
            ],
            "elixirPlatforms": [],
            "communities": [],
            "sponsoredBy": [
                {
                    "id": 1,
                    "name": "CNRS - IFB",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/CNRS%20-%20IFB/?format=api"
                },
                {
                    "id": 16,
                    "name": "Université Clermont Auvergne",
                    "url": "https://catalogue.france-bioinformatique.fr/api/eventsponsor/Universit%C3%A9%20Clermont%20Auvergne/?format=api"
                }
            ],
            "organisedByOrganisations": [
                {
                    "id": 96,
                    "name": "Mésocentre Clermont-Auvergne",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/M%C3%A9socentre%20Clermont-Auvergne/?format=api"
                },
                {
                    "id": 87,
                    "name": "AuBi",
                    "url": "https://catalogue.france-bioinformatique.fr/api/organisation/AuBi/?format=api"
                }
            ],
            "organisedByTeams": [
                {
                    "id": 31,
                    "name": "AuBi",
                    "url": "https://catalogue.france-bioinformatique.fr/api/team/AuBi/?format=api"
                }
            ],
            "logo_url": "https://mesocentre.uca.fr/medias/photo/logoaubi-2019minus_1553844844490-jpg?ID_FICHE=41175",
            "updated_at": "2024-02-08T11:22:23.706233Z",
            "audienceTypes": [
                "Undergraduate",
                "Graduate",
                "Professional (initial)",
                "Professional (continued)"
            ],
            "audienceRoles": [
                "Researchers",
                "Life scientists",
                "Biologists"
            ],
            "difficultyLevel": "Novice",
            "trainingMaterials": [
                {
                    "id": 132,
                    "name": "Metatranscriptomics analysis using microbiome RNA-seq data",
                    "url": "https://catalogue.france-bioinformatique.fr/api/trainingmaterial/Metatranscriptomics%20analysis%20using%20microbiome%20RNA-seq%20data/?format=api"
                }
            ],
            "learningOutcomes": "At 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",
            "hoursPresentations": 1,
            "hoursHandsOn": 2,
            "hoursTotal": 3,
            "personalised": null,
            "event_set": []
        }
    ]
}